Publications

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Publications in Computer Science: dblp

Journals

1. Database Bias in the Detection of Interdomain Horizontal Gene Transfer Events in Pezizomycotina, Biology  13(7), 469  (2024),  DOI: 10.3390/biology13070469 | Aguirre-Carvajal, Kevin, Cristian R. Munteanu, and Vinicio Armijos-Jaramillo | online

2. Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy, Journal of Cheminformatics  16, Article number: 27  (2024),  DOI: 10.1186/s13321-024-00816-1 | Karina Jimenes-Vargas, Alejandro Pazos, Cristian R. Munteanu, Yunierkis Perez-Castillo, Eduardo Tejera | online

3. MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products, Journal of Cheminformatics 16, 9, DOI: 10.1186/s13321-024-00802-7 (2024) | Paula Carracedo-Reboredo, Eider Aranzamendi, ShanHea, Sonia Arrasate, Cristian Munteanu, Carlos Fernández-Lozano, Nuria Sotomayor, Esther Lete, Humberto González-Díaz | online

4. Prediction of anti-glioblastoma drug-decorated nanoparticle delivery systems using molecular descriptors and machine learning, International Journal of Molecular Sciences (IJMS) 22(21), 11519, DOI: 10.3390/ijms222111519 (2021) | Cristian R. Munteanu, Pablo Gutiérrez-Asorey, Manuel Blanes-Rodríguez, Ismael Hidalgo-Delgado, María de Jesús Blanco Liverio, Brais Castiñeiras Galdo, Ana Belén Porto-Pazos, Marcos Gestal *, Sonia Arrasate, Humbert González-Díaz | online | PDF | GitHub

5. Molecular docking, SAR analysis and biophysical approaches in the study of the antibacterial activity of ceramides isolated from Cissus incisa, Bioorganic Chemistry 109:104745, DOI: 10.1016/j.bioorg.2021.104745 (2021) | Deyani Nocedo-Mena, Sonia Arrasate, Elvira Garza-González, Verónica M. Rivas-Galindo, Antonio Romo-Mancillas, Cristian R. Munteanu, Nuria Sotomayor, Esther Lete, Iratxe Barbolla, César A. Martín, María del Rayo Camacho-Corona | online

6. In silico analyses of immune system protein interactome network, single-cell RNA sequencing of human tissues, and artificial neural networks reveal potential therapeutic targets for drug repurposing against COVID-19, Frontiers in Pharmacology 12:598925, DOI: 10.3389/fphar.2021.598925 (2021) | Andrés López-Cortés, Patricia Guevara, Nikolaos C Kyriakidis, Carlos Barba-Ostria, Ángela León Cáceres, Santiago Guerrero, Esteban Ortiz-Prado, Cristian R. Munteanu, Eduardo Tejera, Doménica Cevallos-Robalino, Ana María Gómez J., Katherine Simbaña-Rivera, Adriana Granizo-Martínez, Gabriela Pérez-M, Silvana Moreno, Jennyfer M Garcia, Ana Karina Zambrano, Yunierkis Perez, Alejandro Cabrera-Andrade, Lourdes Puig San Andrés, Carolina Proaño-Castro, Jhommara Bautista, Andreina Quevedo, Nelson Varela, Luis Abel Quiñones, César Paz-y-Miño | online (+ PDF) | GitHub 

7. A multi-objective approach for anti-osteosarcoma cancer agents discovering through drugs repurposing, Pharmaceuticals 13(11), 409, DOI: 0.3390/ph13110409 (2020) | Alejandro Cabrera-Andrade, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, Humbert González-Díaz, Alejandro Pazos, Cristian R. Munteanu, Yunierkis Pérez-Castillo, Eduardo Tejera | online | PDF

8. Drugs repurposing using QSAR, docking and molecular dynamic for possible inhibitor of SARS-CoV-2 Mpro protease, Molecules 25, 5172, DOI: 10.3390/molecules25215172 (2020) | Eduardo Tejera, Cristian R. Munteanu, Andrés López-Cortés, Alejandro Cabrera-Andrade, Yunierkis Pérez-Castillo | online | PDF |  GitHub 

9. Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds, ACS Omega 5(42), 27211–27220, DOI: 10.1021/acsomega.0c03356 (2020) | Alejandro Cabrera-Andrade, Andrés López-Cortés, Cristian R. Munteanu, Alejandro Pazos, Yunierkis Pérez-Castillo, Eduardo Tejera, Sonia Arrasate, Humbert González-Díaz | online | PDF 

10. Discovery of Novel Immunopharmacological Ligands Targeting the IL-17 Inflammatory Pathway, International Immunopharmacology 89, 107026, DOI: 10.1016/j.intimp.2020.107026 (2020) | Elia Álvarez-Coiradas, Cristian R. Munteanu, Laura Díaz-Sáez, Alejandro Pazos, Killian V. M. Huber, María Isabel Loza, Eduardo Domínguez | online 

11. PTML Multi-Label Algorithms: Models, Software, and Applications, Current Topics in Medicinal Chemistry 20(21), 1-12, DOI: 10.2174/1568026620666200916122616  (2020) | Bernabe Ortega-Tenezaca, Viviana Quevedo-Tumailli, Harbil Bediaga, Jon Collados, Sonia Arrasate, Gotzon Madariaga, Cristian R Munteanu, M. Natália D.S. Cordeiro and Humbert González‐Díaz | online 

12. Prediction of Antimalarial Drug-Decorated Nanoparticle Delivery Systems with Random Forest Models, Biology 9(8), 198 (2020) | Diana V. Urista, Diego B. Carrué, Iago Otero, Sonia Arrasate, Viviana Quevedo-Tumailli, Marcos Gestal, Humbert González-Díaz, Cristian R. Munteanu | online | PDF | GitHub 

13. Molecular docking and machine learning analysis of Abemaciclib in colon cancer, BMC Molecular and Cell Biology 21(1), 1-18, DOI: 10.1186/s12860-020-00295-w (2020) | Jose Liñares-Blanco, Cristian R Munteanu, Alejandro Pazos, Carlos Fernandez-Lozano | online | PDF | GitHub | WebTool 

14. Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks, Scientific Reports 10, Article number: 8515 (2020) | Andrés López-Cortés, Alejandro Cabrera-Andrade, José M. Vázquez-Naya, Alejandro Pazos, Humberto Gonzáles-Díaz, César Paz-y-Miño, Santiago Guerrero, Yunierkis Pérez-Castillo, Eduardo Tejera, Cristian R. Munteanu | online  | PDF | GitHub 

15. Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques, Computers in Biology and Medicine  120, 103764, DOI: 10.1016/j.compbiomed.2020.103764 (2020) | Alejandro Puente Castro, Enrique Fernandez-Blanco, Alejandro Pazos, Cristian R Munteanu | online | arxiv 

16. OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine, Scientific Reports  10(1):5285, DOI: 10.1038/s41598-020-62279-2 (2020) | Andrés López-Cortés, César Paz-y-Miño, Santiago Guerrero, Alejandro Cabrera Andrade, Stephen J. Barigye, Cristian R. Munteanu, Humberto González-Díaz, Alejandro Pazos, Yunierkis Pérez-Castillo, Eduardo Tejera | online | PDF 

17. Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction, Appl. Sci. 10(4), 1308, DOI: 10.3390/app10041308 (2020) | Enrique Barreiro, Cristian R. Munteanu, Marcos Gestal, Juan Ramón Rabuñal, Alejandro Pazos, Humberto González-Díaz, Julián Dorado | online | PDF 

18. Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis, International Journal of Molecular Sciences 21(3), 1053, DOI: 10.3390/ijms21031053 (2020) | Alejandro Cabrera-Andrade, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-y-Miño, Yunierkis Pérez-Castillo, Cristian R. Munteanu, Humbert González-Díaz, Alejandro Pazos, Eduardo Tejera | online | PDF 

19. MCDCalc: Markov Chain Molecular Descriptors Calculator for Medicinal Chemistry, Current Topics in Medicinal Chemistry 20, 1-13, DOI: 10.2174/1568026620666191226092431 (2020) | Paula Carracedo-Reboredo, Ramiro Corona, Mikel Martinez-Nunes, Carlos Fernandez-Lozano, Georgia Tsiliki, Haralambos Sarimveis, Eider Aranzamendi, Sonia Arrasate, Nuria Sotomayor, Esther Lete, Cristian Robert Munteanu, Humbert González-Díaz | online 

20. Machine Learning classification models for fetal skeletal development performance prediction using maternal bone metabolic proteins, Peerj 7:e7840, DOI: 10.7717/peerj.7840 (2019) | Yong Liu, Cristian R. Munteanu, Nieves Pedreira-Souto, Qiongxian Yan, Jinghe Kang, Shaoxun Tang, Chuanshe Zhou, Zhixiong He, Zhiliang Tan | online | PDF | GitLab

21. Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning, International Journal of Molecular Sciences 20(18), 4362; DOI: 10.3390/ijms20184362 (2019) | Cristian R. Munteanu, Marcos Gestal, Yunuen G. Martínez Acevedo, Nieves Pedreira, Alejandro Pazos, and Julián Dorado | online | PDF | GitLab 

22. Perturbation Theory Machine Learning Modeling of Immunotoxicity for Drugs Targeting Inflammatory Cytokines and Study of the Antimicrobial G1 Using Cytometric Bead Arrays, Chemical Research in Toxicology 32, 9, 1811-1823, DOI: 10.1021/acs.chemrestox.9b00154 (2019) | Esvieta Tenorio-Borroto, Nilo Castañedo, Xerardo García-Mera, Kenneth Rivadeneira, Juan Carlos Vázquez Chagoyán, Alberto Barbabosa Pliego, Cristian R. Munteanu, Humbert González-Díaz | online | PDF | GitHub 

23. PTML Model of Enzyme Subclasses for Mining the Proteome of Bio-fuel Producing Microorganisms, J. Proteome Res.,  18(7), 2735-2746, DOI: 10.1021/acs.jproteome.8b00949 (2019) | Riccardo Concu, Maria Natália D.S. Dias Soeiro Cordeiro, Cristian R. Munteanu, Humbert González-Díaz | online | PDF 

24. Identification of coenzyme-binding proteins with machine learning algorithms, Computational Biology and Chemistry 79, 185-192, DOI:10.1016/j.compbiolchem.2019.01.014 (2019) | Yong Liu, Cristian R. Munteanu, Zhiwei Kong, Tao Ran, Alfredo Sahagún-Ruiz, Zhixiong He, Chuanshe Zhou, Zhiliang Tan | online

25. Classification of Radiologically Isolated Syndrome and Clinically Isolated Syndrome with Machine-Learning Techniques, European Journal of Neurology 26(7):1000-1005 , DOI:10.1111/ene.13923 (2019) | Mato Virginia; Labiano Andres; Rodriguez Santiago; Garcia Rafael; Munteanu Cristian; Andrade Javier; Domingo Angela; Galán-Sánchez Seco Victoria; Aladro Yolanda; Martínez Marisa; Ayuso-Peralta Lucía; Benito-León Julián | online

26. Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis, Scientific Reports 8, Article number: 16679, DOI: 10.1038/s41598-018-35149-1 (2018) | Andrés López-Cortés, César Paz-y-Miño, Alejandro Cabrera-Andrade, Stephen J.Barigye, Cristian R. Munteanu, Humberto González-Díaz, Alejandro Pazos, Yunierkis Pérez-Castillo, Eduardo Tejera | online | PDF 

27. Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems, Scientific Reports 8:12340, DOI: 10.1038/s41598-018-30637-w (2018) | Enrique Barreiro, Cristian R. Munteanu, Maykel Cruz-Monteagudo, Alejandro Pazos, Humbert González-Díaz | online | PDF 

28. Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l-Prolyl-l-leucyl-glycinamide Peptidomimetics, ACS Chem. Neurosci. 9 (11), pp 2572–2587, DOI: 10.1021/acschemneuro.8b00083 (2018) | Joana Ferreira da Costa, David Silva, Olga Caamaño, José M. Brea, Maria Isabel Loza, Cristian R. Munteanu, Alejandro Pazos, Xerardo García-Mera, and Humbert González-Díaz | online

29. Carbon Nanotubes Effect on Mitochondrial Oxygen Flux Dynamics: Polarography Experimental Study and Machine Learning Models using Star Graph Trace Invariants of Raman Spectra, Nanomaterials 7(11), 386, doi:10.3390/nano7110386 (2017) | Michael González-Durruthy, Jose M. Monserrat, Bakhtiyor Rasulev, Gerardo M. Casañola-Martín, José María Barreiro Sorrivas, Sergio Paraíso-Medina, Víctor Maojo, Humberto González-Díaz, Alejandro Pazos, Cristian R. Munteanu | online | PDF 

30. Decrypting Interactions of Single-Walled Carbon Nanotubes and Mitochondrial Voltage-Dependent Anion Channels with Docking and Perturbation Theory, Scientific Reports 7, Article number: 13271 (2017), doi:10.1038/s41598-017-13691-8 | Michael González-Durruthy, Adriano V. Werhli, Vinicius Seus, Karina S. Machado, Alejandro Pazos, Cristian R. Munteanu, Humberto González-Díaz, José M. Monserrat | online | PDF 

31. General Machine Learning Model, Review, and Experimental-Theoretic Study of Magnolol Activity in Enterotoxigenic Induced Oxidative Stress, Current Topics in Medicinal Chemistry 17, 2977-2988, doi: 10.2174/1568026617666170821130315 (2017) | Yanli Deng, Yong Liu, Shaoxun Tang, Chuanshe Zhou, Xuefeng Han, Wenjun Xiao, Lucas Anton Pastur-Romay, José Manuel Vázquez-Naya, Javier Pereira Loureiro, Cristian R. Munteanu, Zhiliang Tan | online 

32. Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota, Frontiers in Microbiology 8:1216, doi: 10.3389/fmicb.2017.01216 (2017) | Yong Liu, Cristian R. Munteanu, Carlos Fernandez-Lozano, Alejandro Pazos, Tao Ran, Zhiliang Tan, Yizun Yu, Chuanshe Zhou, Shaoxun Tang, Humberto Gonzalez-Diaz | online (+PDF) 

33. An Experimental and Computational Study of Carbon Nanotubes Effects on Mitochondrial Respiration: In Silico nano-QSPR Machine Learning Models Based on New Raman Spectra Transform with Markov-Shannon Entropy Invariants, Journal of Chemical Information and Modeling 57 (5), 1029-1044, doi: 10.1021/acs.jcim.6b00458 (2017) | Michael González-Durruthy, Luciane Carla Alberici, Zeki Naal, David T. Atique-Sawazaki, Carlos Curti, José Manuel Vázquez-Naya, Humbert Gonzalez-Diaz, Cristian Robert Munteanu [online]

34. Experimental study and Random Forest prediction model of microbiome cell surface hydrophobicity, Expert Systems With Applications 72, 306–316, doi: 10.1016/j.eswa.2016.10.058 (2017) | Yong Liu, Shaoxun Tang, Carlos Fernandez-Lozano, Cristian R Munteanu, Alejandro Pazos, Yi-zun Yu, Zhiliang Tan, Humberto González-Díaz [online]

35. Gastrointestinal Spatiotemporal mRNA Expression of Ghrelin vs Growth Hormone Receptor and New Growth Yield Machine Learning Model Based on Perturbation Theory, Scientific Reports 6:30174 | DOI: 10.1038/srep30174 (2016) | Tao Ran, Yong Liu, Hengzhi Li, Shaoxun Tang, Zhixiong He, Cristian R. Munteanu, Humberto González-Díaz, Zhiliang Tan, Chuanshe Zhou | online | PDF 

36. RRegrs: An R package for Computer-aided Model Selection with Multiple Regression Models, Journal of Cheminformatics  7(1), 1-16, doi:10.1186/s13321-015-0094-2 (2015) | Georgia Tsiliki, Cristian R. Munteanu, Jose A Seoane, Carlos Fernandez-Lozano, Haralambos Sarimveis, Egon L. Willighagen | GitHub | 10.5281/zenodo.21946 | online | PDF 

37. Classification of signaling proteins based on molecular star graph descriptors using Machine Learning models, Journal of Theoretical Biology 384, 50-58, DOI: 10.1016/j.jtbi.2015.07.038 (2015) | Carlos Fernandez-Lozano, Rubén F. Cuiñas, José A. Seoane, Enrique Fernández-Blanco, Julian Dorado, Cristian R. Munteanu | online | Web Tool 

38. The eNanoMapper database for nanomaterial safety information, Beilstein J. Nanotechnol. 6, 1609–1634 (2015) | Nina Jeliazkova, Charalampos Chomenidis, Philip Doganis, Bengt Fadeel, Roland Grafström, Barry Hardy, Janna Hastings, Markus Hegi, Vedrin Jeliazkov, Nikolay Kochev, Pekka Kohonen, Cristian R. Munteanu, Haralambos Sarimveis, Bart Smeets, Pantelis Sopasakis, Georgia Tsiliki, David Vorgrimmler and Egon Willighagen | online | PDF

39. Experimental-Computational Studies of Fatty Acids Distribution Networks, Molecular Biosystems 11, 2964 - 2977 (2015) DOI: 10.1039/C5MB00325C | Yong Liu, Germán Buendía-Rodríguez, Claudia Giovanna Peñuelas-Rívas, Zhiliang Tan, María Rívas-Guevara, Esvieta Tenorio-Borroto, Cristian R. Munteanu, Alejandro Pazos, Humberto González-Díaz | online 

40. Prediction of Nucleotide Binding Peptides using Star Graph Topological Indices, Molecular Informatics Volume 34(11-12), 736–741, DOI: 10.1002/minf.201500064 (2015) | Yong Liu, Cristian R. Munteanu, Enrique Fernández Blanco, Zhiliang Tan, Antonino Santos del Riego, Alejandro Pazos | online 

41. Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein–Protein and Protein–Nucleic Acid Interfaces, J. Chem. Inf. Model. 55 (5), 1077–1086 (2015) | Cristian R Munteanu, Antonio Cesar Pimenta, Carlos Fernandez-Lozano, André Melo, M. Natalia Dias Soeiro Cordeiro, Irina Sousa Moreira | online | Web tools

42. Classification of mild cognitive impairment and Alzheimer’s disease with machine-learning techniques using 1H Magnetic Resonance Spectroscopy data, Expert Systems with Applications 42(15–16), 6205–6214 (2015) | Cristian R Munteanu, Carlos Fernandez-Lozano, Virginia Mato Abad, Salvador Pita Fernández, Juan Álvarez-Linera, Juan Antonio Hernández-Tamames, Alejandro Pazos | online | Web tool

43. eNanoMapper: Harnessing ontologies to enable data integration for nanomaterial risk assessment, Journal of Biomedical Semantics 6:10 (2015) | Janna Hastings, Nina Jeliazkova, Gareth Owen, Georgia Tsiliki, Cristian R Munteanu, Christoph Steinbeck, Egon Willighagen | online | PDF 

44. Graph-based Processing of Macromolecular Information, Current Bioinformatics 10(5): 606-631 (2015), DOI: 10.2174/1574893610666151008012438 | Cristian R. Munteanu, Vanessa Aguiar-Pulido, Ana Freire, Marcos Martínez-Romero, Ana B. Porto-Pazos, Javier Pereira, Julian Dorado | online 

45. Bio-AIMS Collection of Chemoinformatics Web Tools based on Molecular Graph Information and Artificial Intelligence Models, Combinatorial Chemistry & High Throughput Screening 18(8):735-50 (2015) | Cristian R. Munteanu, Humberto González-Díaz, Rafael García, Mabel Loza, Alejandro Pazos | online 

46. ANN Multiscale Model of anti-HIV drugs activity vs. AIDS Prevalence in US at county level based on Information indices of Molecular Graphs and Social Networks, J. Chem. Inf. Model. 54 (3), 744–755 (2014) | H. Gonzalez-Diaz, D. Herrera-Ibata, A. Duardo-Sanchez, CR Munteanu, R. Orbegozo-Medina, A. Pazos Sierra | online

47. Markov Mean Properties for Cell Death-Related Protein Classification, Journal of Theoretical Biology 349, 12–21 (2014) | Carlos Fernandez-Lozano, Marcos Gestal, Humberto González-Díaz, Julian Dorado, Alejandro Pazos, Cristian R Munteanu | online

48. Improving Enzyme Regulatory Protein Classification by means of SVM-RFE Feature Selection, Mol. BioSyst. 10, 1063-1071 (2014) | Carlos Fernandez-Lozano, Enrique Fernández-Blanco, Kirtan Dave, Nieves Pedreira, Marcos Gestal, Julián Dorado, Cristian R. Munteanu | online

49. LECTINPred: web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design, Molecular Informatics 33(4), 276-285 (2014) | Cristian R. Munteanu, Nieves Pedreira-Souto, Julián Dorado, Alejandro Pazos, Lázaro G. Pérez-Montoto, Florencio M. Ubeira, Humberto González-Díaz | Web Tool | online

50. Modeling Complex Metabolic Reactions, Ecological Systems, and Financial and Legal Networks with MIANN models based on Markov-Wiener node descriptors, Journal of Chemical Information and Modeling 54(1), 16-29 (2014) | Alisuka Durado-Sanchez, Cristian R. Munteanu, Pablo Riera-Fernández, Antonio López-Díaz, Alejandro Pazos, Humberto Gonzalez-Diaz | online

51. Kernel-Based Feature Selection Techniques for Transport Proteins Based on Star Graph Topological Indices, Current Topics in Medicinal Chemistry 13(14), 1681-1691 (2013) | Carlos Fernandez-Lozano, Marcos Gestal, Nieves Pedreira-Souto, Lucian Postelnicu, Julián Dorado, Cristian R. Munteanu | online | Web Tool

52. Evolutionary Computation and QSAR Research, Current Computer-Aided Drug Design 9(2), 206-225 (2013) | Vanessa Aguiar-Pulido, Marcos Gestal, Maykel Cruz-Monteagudo, Juan R. Rabuñal, Julián Dorado, Cristian R. Munteanu | online

53. S2SNet: A Tool for Transforming Characters and Numeric Sequences into Star Network Topological Indices in Chemoinformatics, Bioinformatics, Biomedical, and Social-Legal sciences, Current Bioinformatics 8(4), 429-437 (2013) | Cristian R. Munteanu, Alexandre L Magalhães, Aliuska Duardo Sánchez, Alejandro Pazos, Humberto González-Díaz | online

54. Markov-Randic indices for QSPR Re-evaluation of Metabolic, Parasite-Host, Fasciolosis Spreading, Brain Cortex and Legal-Social Complex Networks, Current Bioinformatics 8(4), 401-415 (2013) | Pablo Riera-Fernández, Cristian R. Munteanu, Raquel Martín-Romalde, Aliuska Duardo-Sánchez and Humberto González-Díaz | online

55. The He-, Ne-, and Ar-Phosgene Intermolecular Potential Energy Surfaces, J. Phys. Chem. A 117 (18), 3835–3843 (2013) | Cristian R. Munteanu, Christian Henriksen, Peter Felker, Berta Fernandez | online

56. Applied Computational Techniques on Schizophrenia using Genetic Mutations, Current Topics in Medicinal Chemistry 13(5), 675-684 (2013) | Vanessa Aguiar-Pulido, Marcos Gestal, Carlos Fernandez-Lozano, Daniel Rivero, Cristian R. Munteanu | online

57. The Rücker-Markov Invariants of Complex Bio-Systems: Applications in Parasitology and Neuroinformatics, BioSystems 111(3), 199-207 (2013) | Humberto González-Díaz, Pablo Riera-Fernández, Alejandro Pazos, Cristian R. Munteanu | online

58. MIANN Models in Medicinal, Physical and Organic Chemistry, Current Topics in Medicinal Chemistry 3(5), 619-41 (2013) | Humberto González-Díaz, Sonia Arrasate, Nuria Sotomayor, Esther Lete, Cristian R. Munteanu, Alejandro Pazos, Lina Besada-Porto, Juan M. Ruso | online

59. Regulatory affairs issues and legal ontologies in drug development, Frontiers in Bioscience (Elite edition) 5(2), 446-460 (2013) | Cristian R. Munteanu, Julian Dorado, Ion Matei-Ilfoveanu, Silvia Ana Nita | online

60. Random Forest Classification based on Star Graph Topological Indices for Antioxidant Proteins, Journal of Theoretical Biology 317, 331-337 (2013) | Enrique Fernandez-Blanco, Vanessa Aguiar-Pulido, Cristian R Munteanu, Julian Dorado | online

61. Biomedical data integration in computational drug design and bioinformatics, Current Computer-Aided Drug Design 9(1), 108-117 (2013) | José A. Seoane, Vanessa Aguiar-Pulido, Cristian R. Munteanu, Daniel Rivero, Juan R. Rabuñal, Julian Dorado, Alejandro Pazos | online

62. Automatic Seizure Detection Based on Star Graph Topological Indices,  Journal of Neuroscience Methods 209(2), 410–419 (2012) | Enrique Fernandez-Blanco, Daniel Rivero, Juan Rabuñal, Julián Dorado, Alejandro Pazos, Cristian Robert Munteanu | online

63. Nanoinformatics: developing new computing applications for nanomedicine, Computing 94, 521-539 (2012) | Maojo V, Fritts M, Martín-Sanchez F, De la Iglesia D, Cachau RE, Garcia-Remesal M, Crespo J, Mitchell JA, Anguita A, Baker N, Barreiro JM, Benitez SE, De la Calle G, Facelli JC, Ghazal P, Geissbuhler A. Gonzalez-Nilo F, Graf N, Grangeat P, Hermosilla I, Hussein R, Kern J, Koch S, Legre Y, Lopez-Alonso V, Lopez-Campos G, Milanesi L, Moustakis V, Munteanu CR, Otero P, Pazos A, Perez-Rey D, Potamias G, Sanz F, Kulikowski C | online pdf

64. Naïve Bayes QSDR classification based on spiral-graph Shannon entropies for protein biomarkers in human colon cancer, Molecular BioSystems 8(6), 1716-1722 (2012) | Vanessa Aguiar-Pulido, Cristian Robert Munteanu, José A Seoane, Enrique Fernández-Blanco, Lázaro G Pérez-Montoto, Humberto González-Díaz, Julian Dorado | online

65. From QSAR models of Drugs to Complex Networks: State-of-Art Review and Introduction of New Markov-Spectral Moments Indices, Current Topics in Medicinal Chemistry 12(8), 927-960 (2012) | Pablo Riera-Fernández, Raquel Martín-Romalde, Francisco J Prado-Prado, Manuel Escobar, Cristian R. Munteanu, Riccardo Concu, Aliuska Duardo-Sanchez, Humberto González-Díaz | online

66. LIBP-Pred: Web Server for Lipid Binding Proteins using Structural Network Parameters; PDB Mining of Human Cancer Biomarkers and Drug Targets in Parasites and Bacteria, Molecular BioSystems 8(3), 851-862 (2012) | Humberto González-Díaz, Cristian R. Munteanu, Lucian Postelnicu, Francisco Prado-Prado, Marcos Gestal, Alejandro Pazos | online | Web Tool

67. New Markov–Shannon Entropy models to assess connectivity quality in complex networks: From molecular to cellular pathway, Parasite–Host, Neural, Industry, and Legal–Social networks, Journal of Theoretical Biology 293, 174–188 (2012) | Pablo Riera-Fernández, Cristian R Munteanu, Manuel  Escobar, Francisco  Prado-Prado, Raquel  Martín-Romalde, David  Pereira, Karen  Villalba, Aliuska  Duardo-Sánchez,  Humberto González-Díaz | online

68. From Chemical Graphs in Computer-Aided Drug Design to General Markov-Galvez Indices of Drug-Target, Proteome, Drug-Parasitic Disease, Technological, and Social-Legal Networks, Current Computer-Aided Drug Design 7(4), 315-337 (2011) | Pablo Riera-Fernández, Cristian R. Munteanu, Julian Dorado, Raquel Martín-Romalde, Aliuska Duardo-Sanchez, Humberto González-Díaz | online

69. MISS-Prot: web server for self/non-self discrimination of protein residue networks in parasites; theory and experiments in Fasciola peptides and Anisakis allergens, Molecular BioSystems 7(6), 1938-55 (2011) | González-Díaz Humberto, Muíño Laura, Anadón Ana M, Romaris Fernanda, Prado-Prado Francisco J, Munteanu Cristian R, Dorado Julián, Alejandro Pazos, Mezo Mercedes, González-Warleta Marta, Gárate Teresa, Ubeira Florencio M | online | Web Tool

70. SNP-Schizo: A web tool for schizophrenia SNP sequence classification, Advances in Computational Intelligence, LNCS vol. 6692/2011, pp. 252-259, published by Springer-Verlag Berlin Heidelberg (2011) | Vanessa Aguiar-Pulido, José A. Seoane, Cristian R. Munteanu, Alejandro Pazos | online | Web Tool

71. Definition of Markov-Harary Invariants and Review of Classic Topological Indices and Databases in Biology, Parasitology, Technology, and Social-Legal Networks, Current Bioinformatics 6(1), 94-121 (2011) | Pablo Riera-Fernández, Cristian R. Munteanu, Nieves Pedreira-Souto, Raquel Martín-Romalde, Aliuska Duardo-Sanchez, Humberto González-Díaz | online

72. The Ability of MEAs Containing Cultured Neuroglial Networks to Process Information, Current Bioinformatics 6(2), 199-214 (2011) | Alberto Alvarellos, Noha Veiguela, Cristian R. Munteanu, Julián Dorado, Alejandro Pazos, Ana B. Porto-Pazos | online

73. NL MIND-BEST: a web server for ligands & proteins discovery; theoretic-experimental study of proteins of Giardia lamblia and new compounds active against Plasmodium falciparum, Journal of Theoretical Biology 276(1):229-249 (2011) | Humberto González-Díaz, Francisco Prado-Prado, Eduardo Sobarzo-Sánchez, Mohamed Haddad, Séverine Maurel-Chevalley, Alexis Valentin, Joëlle Quetin-Leclercq, María A. Dea-Ayuela, María Teresa Gomez-Muños, Cristian R. Munteanu, Juan José Torres-Labandeira, Xerardo García-Mera, Ricardo A. Tapia, Florencio M. Ubeira | online | Web Tool

74. MIND-BEST: Web server for drugs and target discovery; design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from Trichomonas gallinae, Journal of Proteome Research 10(4), 1698-718 (2011) | González-Díaz Humberto; Prado-Prado Francisco; García-Mera Xerardo; Alonso Nerea; Abeijón Paula; Caamaño Olga; Yáñez Matilde; Munteanu Cristian R; Pazos Alejandro; Dea-Ayuela María Auxiliadora; Gómez-Muñoz María Teresa; Garijo M Magdalena; Sansano José; Ubeira Florencio M | online | Global Medical Discovery | Web Tool

75. Amino Acid Pair- and Triplet-wise Groupings in the Interior of Alpha-Helical Segments in Proteins, Journal of Theoretical Biology 271(1), 136-144 (2011) | Miguel M de Sousa, Cristian R Munteanu, Alejandro  Pazos, Nuno A Fonseca, Rui Camacho and Alexandre Lopes Magalhães | online

76. Machine Learning Techniques for Single Nucleotide Polymorphism - Disease Classification Models in Schizophrenia, Molecules 15(7), 4875-4889 (2010) | Vanessa Aguiar-Pulido, José A. Seoane, Juan R. Rabuñal, Julián Dorado, Alejandro Pazos, Cristian R. Munteanu | online | Web Tool

77. Drug Discovery and Design for Complex Diseases Through QSAR Computational Methods, Current Pharmaceutical Design 16(24), 2640-2655 (2010) | Cristian R. Munteanu, Enrique Fernández-Blanco, José A. Seoane, Pilar Izquierdo-Novo, José Ángel Rodríguez-Fernández, José María Prieto-González, Juan R. Rabuñal, Alejandro Pazos | online

78. Artificial Intelligence Techniques for Colorectal Cancer Drug Metabolism: Ontologies and Complex Networks, Current Drug Metabolism 11(4), 347-368 (2010) | Marcos Martínez-Romero, José M. Vázquez-Naya, Juan R. Rabuñal, Salvador Pita-Fernández, Ramiro Macenlle,  Javier Castro-Alvariño, Leopoldo López-Roses, José L. Ulla, Antonio V. Martínez-Calvo, Santiago Vázquez, Javier Pereira, Ana B. Porto-Pazos, Julián Dorado, Alejandro Pazos, Cristian R. Munteanu | online

79. Ontologies of Drug Discovery and Design for Neurology, Cardiology and Oncology, Current Pharmaceutical Design 16(24), 2724-2736 (2010) | José M. Vázquez-Naya, Marcos Martínez-Romero, Ana B. Porto-Pazos, Francisco Novoa, Manuel Valladares-Ayerbes, Javier Pereira, Cristian R. Munteanu, Julián Dorado | online

80. An Approach for the Automatic Recommendation of Ontologies Using Collaborative Knowledge, Knowledge-Based Intelligent Information and Engineering Systems. Lecture Notes in Computer Science, ISSN: 0302-9743; ISBN: 3-642-15389-5, Springer-Verlag Publisher, vol 6244, pp. 74-81 (2010) | M. Martínez-Romero, JM. Vázquez-Naya, CR. Munteanu, J. Pereira, A. Pazos | online

81. Trypano-PPI: A Web Server for Prediction of Unique Targets in Trypanosome Proteome by using Electrostatic Parameters of Protein-Protein Interactions, Journal of Proteome Research 9(2), 1182–1190 (2010) | Yamilet Rodriguez-Soca, Cristian R. Munteanu, Julián Dorado, Alejandro Pazos, Francisco J. Prado-Prado, Humberto González-Díaz | online | Web Tool

82. Plasmod-PPI: a web-server predicting complex biopolymer targets in Plasmodium with entropy measures of protein-protein interactions, Polymer 51(1), 264-273 (2010) | Yamilet Rodriguez-Soca, Cristian R. Munteanu, Julian Dorado, Juan Rabuñal, Alejandro Pazos, Humberto González-Díaz [online] [Web Tool]

83. Complex Network Spectral Moments for ATCUN Motif DNA Cleavage: First Predictive Study on Proteins of Human Pathogen Parasites, Journal of Proteome Research 8(11), 5219–5228 (2009) | Cristian R Munteanu, José M. Vázquez, Julián Dorado, Alejandro Pazos Sierra, Ángeles Sánchez-González, Francisco J. Prado-Prado, Humberto González-Díaz [online] [Web tool]

84. Star Graphs of Protein Sequences and Proteome Mass Spectra in Cancer Prediction, Current Proteomics 6(4), 275-288 (2009) | José M. Vázquez, Vanessa Aguiar, Jose A. Seoane, Ana Freire, José A. Serantes, Julián Dorado, Alejandro Pazos, Cristian R. Munteanu [pdf]

85. 3D Entropy & Moments Prediction of Enzyme Classes and Experimental-Theoretic Study of Peptide Fingerprints in Leishmania Parasites, Biochimica et Biophysica Acta (BBA) - Proteins & Proteomics 1794(12), 1784–1794 (2009) | R. Concu, M.A. Dea-Ayuela, L.G. Perez-Montoto, F.J. Prado-Prado, E. Uriarte, F. Bolás-Fernández, G. Podda, A. Pazos, C.R. Munteanu, F.M. Ubeira, H. González-Díaz [online] [Web tool]

86. Generalized Lattice Graphs for 2D-Visualization of Biological Information, Journal of Theoretical Biology 261(1), 136-147 (2009) | Humberto González-Díaz, Lázaro G Pérez-Montoto, Aliuska Duardo-Sanchez, Esperanza Paniagua, Severo Vasquez-Prieto, R Vilas, Maria A Dea-Ayuela, Francisco Bolás-Fernandez, Cristian  R Munteanu, Julian Dorado, Javier Costas, Florencio M Ubeira [online]

87. Data mining in complex diseases using Evolutionary Computation, J. Cabestany et al. (Eds.): IWANN 2009, Part I,LNCS 5517, 917–924, published by Springer-Verlag Berlin Heidelberg (2009) | Vanessa Aguiar, Jose A. Seoane, Ana Freire and Cristian R. Munteanu [pdf] [online]

88. Prot-2S: A New Python Web Tool for Protein Secondary Structure Studies, Int. J. Bioinformatics Research and Applications 5(4), 402-416 (2009) | Cristian R. Munteanu, Alexandre L. Magalhães [online]

89. Alignment-free prediction of Mycobacterial DNA promoters based on Pseudo-folding Lattice Network or Star-Graph Topological Indices, Journal of Theoretical Biology 256(3), 458–466 (2009) | Alcides Perez-Bello, Cristian R. Munteanu, Florencio M. Ubeira, Alexandre Lopes De Magalhães, Eugenio Uriarte and Humberto González-Díaz [online]

90. Multi-Target QPDR Classification Model for Human Breast and Colon Cancer-Related Proteins using Star Graph Topological Indices, Journal of Theoretical Biology 257(2), 303–311 (2009) | Cristian R Munteanu, Alexandre L Magalhães, Eugenio Uriarte,  Humberto González-Díaz [online] |  Web Tool

91. QSAR & Complex Network study of the Chiral HMGR inhibitor Structural Diversity, Bioorganic & Medicinal Chemistry 17(1), 165-175 (2009) | Isela García, Cristian R. Munteanu, Yagamare Fall Diop, Generosa Gómez, Eugenio Uriarte, Humberto González-Díaz [online]

92. Quantitative Proteome–Property Relationships (QPPRs). Part 1: Finding biomarkers of organic drugs with mean Markov connectivity indices of spiral networks of blood mass spectra, Bioorganic & Medicinal Chemistry 16(22), 9684–9693 (2008) | Maykel Cruz-Monteagudo, Cristian R. Munteanu, Fernanda Borges, M. Natália D.S. Cordeiro, Eugenio Uriarte, Humberto González-Díaz [online]

93. Stochastic molecular descriptors for polymers. 4. Study of complex mixtures with topological indices of mass spectra spiral and star networks: the blood proteome case, Polymer 49(25),  5575–5587 (2008) | Maykel Cruz-Monteagudo, Cristian R. Munteanu, Fernanda Borges, M. Natália D.S. Cordeiro, Eugenio Uriarte, Kuo-Chen Chou and Humberto González-Díaz [online]

94. Natural/random protein classification models based on star network topological indices, Journal of Theoretical Biology 254(4), 775–783 (2008) | Cristian R Munteanu, Humberto González-Díaz, Fernanda Borges, Alexandre L Magalhães [online]

95. Enzymes/non-enzymes classification model complexity based on composition, sequence, 3D and topological indices, Journal of Theoretical Biology 254(2), 476-482 (2008) | Cristian R. Munteanu, Humberto González-Díaz and Alexandre L. Magalhães [online]

96. Accurate intermolecular ground state potential energy surfaces of the HCCH-He, Ne, Ar van der Waals complexes, Journal of Chemical Physics 123(1), 014309-014318 (2005) | Cristian R. Munteanu, Berta Fernández [online]

97. Accurate intermolecular ground state potential of the Ar-N2 van der Waals complex, Journal of Chemical Physics 121(21), 10419-10425 (2004) | Cristian R. Munteanu, Javier López Cacheiro, Berta Fernández [online]

98. The chlorobenzene-argon ground state intermolecular potential energy surface, Journal of Chemical Physics 121(3), 1390-1396 (2004) | Cristian Robert Munteanu, Javier López Cacheiro, Berta Fernández, Jan Makarewicz [online]

99. Accurate intermolecular ground state potential of the Ne-N2 van der Waals complex, Journal of Chemical Physics 120(19), 9104-9112 (2004) | Cristian R. Munteanu, Javier López Cacheiro and Berta Fernández [online]

Conference papers

1. Jimenes-Vargas, K., Perez-Castillo, Y., Tejera, E., Munteanu, C.R., Exploring Target Identification for Drug Design with K-Nearest Neighbors’ Algorithm, In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2023. Lecture Notes in Computer Science, vol. 14126. Springer, Cham. , doi: 10.1007/978-3-031-42508-0_20, pp. 219-227, 2023

2. Jorge Fernández-García, Martiño Rivera-Dourado, Rubén Pérez-Jove, Cristian-Robert Munteanu, José Vázquez-Naya, Improving Authentication in the Amazon Alexa Virtual Assistant by Using a Geofence, doi: 10.17979/spudc.000024.50, VI Congreso Xove TIC: impulsando el talento científico. Octubre, 2023, A Coruña,  pp. 335-341, 2023

3. R. Pérez-Jove, C. R. Munteanu, J. Dorado, A. Pazos and J. Vázquez-Naya, Operating System Fingerprinting Tool Based on Classical Machine Learning Algorithms, doi: 10.23919/JNIC58574.2023.10205734, 2023 JNIC Cybersecurity Conference (JNIC), Vigo, Spain, 2023, pp. 1-8

4. Rubén Pérez-Jove, Cristian R. Munteanu, Alejandro Pazos Sierra, José M. Vázquez-Naya, Applying Artificial Intelligence for Operating System Fingerprinting, https://doi.org/10.3390/engproc2021007051, 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021, Eng. Proc. 2021, 7(1), 51

5. Paula Carracedo-Reboredo,Cristian R. Munteanu,Humbert González-Díaz, Carlos Fernandez-Lozano, Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors, https://doi.org/10.3390/proceedings2020054028, 3nd XoveTIC Conference, A Coruña, Spain, 8–9 September 2020, Proceedings 2020, 54(1), 21

6. Alberto Femenias-Hermida*, Cristian R. Munteanu, José M. Vázquez-Naya, Design and Implementation of a Physical Bitcoin Coin, https://doi.org/10.3390/proceedings2020054021, 3nd XoveTIC Conference, A Coruna, Spain, 8–9 September 2020, Proceedings 2020, 54(1), 21

7. Alejandro Puente-Castro* , Cristian Robert Munteanu and Enrique Fernandez-Blanco, System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques, doi: 10.3390/proceedings2019021028, 2nd XoveTIC Conference, A Coruna, Spain, 5–6 September 2019, Proceedings 2019, 21(1), 28

8. E Alvarez-Coiradas, CR Munteanu, I Gomez-Tourino, L Diaz-Saez, K Huber, MIL Garcia, E Dominguez, Identification of small molecules targeting the il-17 inflammatory pathway by label-free assays, Conference: Basic & Clinical Pharmacology & Toxicology, Vol. 123, p. 43-43, Publisher: WILEY, Santiago de Compostela, Spain, 07/2018

9. Nina Jeliazkova, Philip Doganis, Bengt Fadeel, Roland Grafstrom, Janna Hastings, Vedrin Jeliazkov, Pekka Kohonen, Cristian Munteanu, Haralambos Sarimveis, Bart Smeets, Georgia Tsiliki, Egon Willighagen, The first eNanoMapper prototype: A substance database to support safe-by-design, doi:10.1109/bibm.2014.6999367, Conference: Bioinformatics and Biomedicine (BIBM), 2014 IEEE International Conference on, Belfast; 11/2014

Virtual Conference papers

1. Nuria Pereira Espasandín *, David Maseda Neira, Diana Marcela Noriega Cobo, Iago Iglesias Corrás, Alejandro Pazos, Julián Dorado, Cristian Robert Munteanu, COVID-19 prediction using chest X-ray medical images and Deep Learning. Published: 21 February 2021 by MDPI AG in MOL2NET 2021, International Conference on Multidisciplinary Sciences, 7th edition session IWMEDIC-08: North-Ibero-Am. Int. Work. Chem., Bio., and Med. Info., Coruña, Spain-Carleton, Canada-Standford, USA, 2021; doi:10.3390/mol2net-07-09260  

2. Cristian R Munteanu, Deep Learning with minimum coding and free hardware. Published: 18 October 2020 by MDPI AG in MOL2NET 2020, International Conference on Multidisciplinary Sciences, 6th edition session IWMEDIC-07: Int. Workshop in Med. Info., UDC, Coruña, Spain, 2019; doi:10.3390/mol2net-06-06955  

3. Cristian R Munteanu, Deep Learning Applications. In MOL2NET 2018, International Conference on Multidisciplinary Sciences, 4th edition session IWMEDIC-06: International Workshop in Medical Informatics, UDC, Coruña, Spain, 2018;  doi: 10.3390/mol2net-04-06107

4. Martín, R.; Liu, Y.; Landaeta, O.; Llamas, L.; Zhou, C.; Tan, Z.; Zhang, H.; Munteanu, C. Prediction of mRNA expression in cow's milk using mRNA secondary structures and Machine Learning classifiers. In Proceedings of the MOL2NET 2017, International Conference on Multidisciplinary Sciences, 3rd edition, 15 February–30 November 2017; Sciforum Electronic Conference Series, Vol. 3, 2017; doi:10.3390/mol2net-03-03907 

5. J Dorado, CR Munteanu, H González-Díaz. IWMEDIC 2016, IV International Workshop on Medical Imaging, Medical Coding, and Data Analysis. In Procceedings of the MOL2NET 2016, International Conference on Multidisciplinary Sciences, 2nd edition, October 2016, Sciforum Electronic Conference Series, 09001, doi: 10.3390/mol2net-02-09001

6. Munteanu, C.; González-Díaz, H.; Fernandez-Lozano, C.; Seoane Fernández, J.; Vázquez-Naya, J.; Loza, M.; Pazos, A. Bio-AIMS Chemoinformatics Web tools for proteins. In Proceedings of the MOL2NET, 5–15 December 2015; Sciforum Electronic Conference Series, Vol. 1, 2015, F004; doi:10.3390/MOL2NET-1-F004

7. Mato Abad, V.; Munteanu, C.; Fernández-Lozano, C.; Pazos, A. AlzPred-SVV: Free Web Tool for Alzheimer Prediction using Spectroscopy Voxel Volume. In Proceedings of the MOL2NET, 5–15 December 2015; Sciforum Electronic Conference Series, Vol. 1, 2015, F007; doi:10.3390/MOL2NET-1-F007

8. Tsiliki, G.; Munteanu, C.; Seoane, J.; Fernandez-Lozano, C.; Sarimveis, H.; Willighagen, E. Using the RRegrs R package for automating predictive modelling. In Proceedings of the MOL2NET, 5–15 December 2015; Sciforum Electronic Conference Series, Vol. 1, 2015, F009; doi:10.3390/MOL2NET-1-F009

9. de Sousa, M.; Munteanu, C.; Magalhães, A. Prot-SSP: a tool for amino acid pairing pattern analysis in secondary structures. In Proceedings of the MOL2NET, 5–15 December 2015; Sciforum Electronic Conference Series, Vol. 1, 2015, F010; doi:10.3390/MOL2NET-1-F010

10. Munteanu, C.; Pimenta, A.; Fernandez-Lozano, C.; Melo, A.; Cordeiro, M.; Moreira, I. Solvent Accessible Surface Area Hot-Spot Detection Method. In Proceedings of the MOL2NET, 5–15 December 2015; Sciforum Electronic Conference Series, Vol. 1, 2015, F012; doi:10.3390/MOL2NET-1-F012

Editor

1. Soft Computing, Content-Based Retrieval and Reconstruction in Medical Imaging, Current Medical Imaging Reviews 9(4), Guest Editors: Cristian R Munteanu, Julian Dorado, Bentham Science Publishers Ltd., Sharjah, U.A.E. (2013) [online]

2. Artificial Intelligence Techniques in Medicinal Chemistry, Current Topics in Medicinal Chemistry 13(5):525 Guest Editors: Cristian R Munteanu, Julian Dorado and Alejandro Pazos, Bentham Science Publishers Ltd., Sharjah, U.A.E. (2013) [online]

3. Convergence of Bioinformatics with Nanotechnology and Artificial Intelligence Technologies, Current Bioinformatics 6(2), 144-144, Guest Editor Cristian R. Munteanu, Bentham Science Publishers Ltd., Sharjah, U.A.E. (2011) [online][pdf]

4. Topological Indices for Medicinal Chemistry, Biology, Parasitology, Neurological and Social Networks, Eds. Humberto González-Díaz, and Cristian R. Munteanu, Research Signpost Publisher, Kerala, India, ISBN: 978-81-7895-489-9 (2010)

5. Nuevas Fronteras Tecnológicas. Redes NANOROADMAP e IBERO-NBIC, Eds. Aguiló J., Figueras A., Freire A., Martín F., Munteanu C.R., Pazos A., Ciencia y Tecnología para el Desarrollo (CYTED) Publisher, Madrid, Spain, ISBN 978-84-96023-82-6 (2010)

Advisory Board

1. Participation to the Advisory Board of The ACTION-Grid White Paper: Linking Biomedical Informatics, Grid Computing and Nanomedicine, revised and approved by the European Commission [online PDF]

Books

1. Humberto González-Díaz, Guillermin Agüero-Chapin, Cristian R. Munteanu, Francisco Prado-Prado, Kuo-Chen Chou, Aliuska Duardo-Sanchez, Grace Patlewicz, and Antonio López-Díaz, Alignment-free models in Plant Genomics: Theoretical, Experimental, and Legal issues, Nova Science Publishers Inc., NY, USA, ISBN: 978-1-61668-603-1 (2010) [online]

Book chapters

1. Virginia Mato-Abad, Alejandro Pazos, Cristian R. Munteanu, Jose Liñares-Blanco, Sara Alvarez-Gonzalez, José M. Vázquez-Naya, Nieves Pedreira, Jorge Amigo and Carlos Fernandez-Lozano, Bioinformatic tools for research in CRC. In: Alejandro Pazos Sierra (ed.) Foundations of Colorectal Cancer. Burlington: Academic Press. pp. 231-247. ISBN: 978-0-323-90055-3 (2022) 

2. Virginia Mato Abad, Alejandro Pazos Sierra, Javier Pereira Loureiro, Cristian R. Munteanu, Nieves Pedreira Souto, Marcos Martínez Romero, José Manuel Vázquez Naya, en Abordaje multidisciplinar de cáncer colorrectal, Andavira Editora S.L., capítulo: Herramientas Bioinformáticas para la Investigación en Cáncer Colorrectal, Alejandro Pazos, José Luis Ulla y Manuel Valladares (Eds.), ISBN: 978-84-8408-795-3 (2015) [online]

3. Cristian R. Munteanu, Maykel Cruz-Monteagudo, Fernanda Borges, M. Natália D. S. Cordeiro, Ricardo Concu and Humberto González-Díaz, in Recent Trends on QSAR in the Pharmaceutical Perceptions, Bentham Science Publishers, chapter: QSAR, Complex Networks, Principal Components and Partial Order Analysis of Drug Cardiotoxicity with Proteome Mass-Spectra Topological Indices, Mohmud Tariq Hassan Khan (Ed.),  p. 3-50, eISBN: 978-1-60805-379-7 (2012) [online]

4. Marilena N. Berca, Aliuska Duardo-Sanchez, Humberto González-Díaz, Alejandro Pazos and Cristian R. Munteanu, in Complex Network Entropy: From Molecules to Biology, Parasitology, Technology, Social, Legal, and Neurosciences, Transworld Research Network Publisher, chapter: Markov entropy for biology, parasitology, linguistic, technology, social and law networks, H.González-Díaz, F.J.Prado-Prado and X. García-Mera (Eds.), ISBN: 978-81-7895-507-0, pp. 127-142 (2011) [free PDF]

5. C. R. Munteanu, J. Dorado, A. Pazos Sierra, F. Prado-Prado, L.G. Pérez-Montoto, S. Vilar, F.M. Ubeira, A. Sanchez-Gonzaléz, M. Cruz-Monteagudo, S. Arrasate, N. Sotomayor, E. Lete, A. Duardo-Sánchez, A. Díaz-López, G. Patlewicz, and H. González-Díaz, in Towards in Information Theory of Complex Networks: Statistical Methods and Applications, Springer Publisher, chapter: Markov Entropy Centrality: Chemical, Biological, Crime and Legislative Networks, Dehmer M., Emmert-Streib F. and  Mehler A. (Eds.),  ISBN: 978-0-8176-4903-6 (2011) [online]

6. Humberto González-Díaz, Santiago Vilar, Daniel Rivero, Enrique Fernández-Blanco, Ana Porto and Cristian R. Munteanu, chapter: QSPR models for cerebral cortex co-activation networks, inTopological Indices for Medicinal Chemistry, Biology, Parasitology, and Social Networks, p. 179-189, Transworld Research Network, Kerala, India, ISBN: 978-81-7895-489-9 (2010) [online]

7. Cristian R. Munteanu, Berta Fernández, Vanessa Aguiar, José A. Serantes, Julián Dorado, Alejandro Pazos, and Humberto González-Díaz, chapter: Directed network Topological Indices for van der Waals complexes based on Coupled Cluster interaction energies, in Topological Indices for Medicinal Chemistry, Biology, Parasitology, and Social Networks, p. 35-51, Transworld Research Network, Kerala, India, ISBN: 978-81-7895-489-9 (2010) [online]

8. Humberto González-Díaz, Giulio Ferino, Francisco J. Prado-Prado, Santiago Vilar, Eugenio Uriarte Villares, Alejandro Pazos and Cristian R. Munteanu, in An Omics Perspective on Cancer Research, chapter: Protein Graphs in Cancer Prediction, W.C.S. Cho (ed.), Springer Publisher, ISBN: 978-90-481-2674-3, pp. 125-140 (2010) [online]

9. Humberto González-Díaz, Guillermin Agüero-Chapin, Cristian R.Munteanu, Francisco Prado-Prado, Kuo-Chen Chou, Aliuska Duardo-Sanchez, Grace Patlewicz, and Antonio López-Díaz, inAdvances in Genetics Research (vol. 1), Ed. Maria A. Osborne, Nova Science Publishers, Inc., NY, USA, ISBN: 978-1-60692-638-3, chapter 2: Alignment-free models in Plant Genomics: Theoretical, Experimental, and Legal issues (2010) [online]

10. Cristian R. Munteanu, Juan R. Rabuñal and Javier Pereira, in Nuevas Fronteras Tecnológicas. Redes NANOROADMAP e IBERO-NBIC, Eds. Aguiló J., Figueras A., Freire A., Martín F., Munteanu C.R., Pazos A., Ciencia y Tecnología para el Desarrollo (CYTED) Publisher, Madrid, Spain, ISBN 978-84-96023-82-6, chapter: Predicción del cáncer colorrectal con grafos (2010)

Posters

1. Elia Álvarez-Coiradas, Cristian R. Munteanu, Iria Gómez-Touriño, Laura Díaz-Sáez, Kilian Huber, María Isabel Loza García, Eduardo Domínguez, Identification of small molecules targeting the IL-17 inflammatory pathway by label-free assays, 1st Meeting in Translational Pharmacology, Santiago de Compostela, Spain, 19-22 July 2018

2. Francisco A. Cedrón Santaeufemia, Enrique Fernández Blanco, Carlos Fernández Lozano, Cristian R. Munteanu, Alejandro Pazos Sierra, HPC-PLUS platform for biomedical applications, VIII Spanish Drug Discovery Network Meeting, Santiago de Compostela, Spain , 4-5 Oct. 2016

3. Groba B., Nieto L., Pousada T., Munteanu C.R., Pereira J., Pazos A., Queirós C., Marques A., Supporting the personal autonomy of children with autism spectrum disorder: a software system design and development, Congreso: II International Health Congress Gaia-Porto. Promoting health technologies: from diagnosis to intervention, Gaia-Porto (Portugal), 19-21 Nov. 2015

4. Cristian R. Munteanu, Haralambos Sarimveis, Prediction of EC50 values for fullerenes using Markov Mean Properties and assay conditions, 7th NanoTox, Antalya, Turkey, Poster P41 (April 23-26, 2014) [pdf, abstract, twitter]

5. M. Dea-Ayuela, M. Gómez-Muñoz, F. Prado-Prado,  X. García-Mera, C.R. Munteanu, R. Concu, L.G. Pérez-Montoro, H. González-Díaz, F.M. Ubeira, NL-MIND-BEST: A web Server For Ligands & Proteins Discovery; Theoretic-Experimental Study Of Proteins Of Giardia Lamblia, New Trends in Proteomics, 4th Congress of the Spanish Proteomics Society, Segovia (February, 2011)

6. Ana Freire, Cristian R. Munteanu, Alejandro Pazos, Fernando Martín y Víctor Maojo, Ibero-American Network of Converging Technologies in Health, Launching the "Nanofutures" European Iniciative, Gijón (Asturias, Spain) (June, 2010) [pdf]

7. A. Pazos, F. Martin-Sanchez, J. Dorado, C.R. Munteanu, I. Hermosilla, V. López-Alonso, G. López-Campos, L. Salamanca, (Nano-Bio-Info-Cogno) in Health: The Ibero-NBIC Network, Trends in Nanotechnology - TNT 2009, Barcelona, Spain (September, 2009) [pdf]

8. Cristian R. Munteanu, Humberto González-Díaz, Fernanda Borges and Alexandre Lopes de Magalhães, Natural - Random Protein Classification Models Based on Star Network’s Topological Indices, International Conference of Physical Chemistry - ROMPHYSCHEM 13, Bucharest, Romania (September, 2008) [pdf]

9. Miguel M. de Sousa, Cristian Munteanu, Alexandre L. Magalhães, Mapping of Interactions Between Side-Chains of i,i+4 Amino Acid Pairs in Protein Alpha-Helices, 1st Portuguese-Spanish-British Joint Biophysical Congress, VII – Computational Biology and Bioinformatics 25 (June, 2008)

10. Miguel M. de Sousa, Cristian Munteanu, Alexandre L. Magalhães, Mapping of interactions between amino acid side-chains in protein α-helices, XXI National Meeting of the Portuguese Chemistry Society (SPQ), Porto, Portugal (June, 2008) [pdf]

11. Cristian R. Munteanu, Humberto González-Díaz, Alexandre Lopes de Magalhães, Comparison of Enzymes / Non-Enzymes Proteins Classification Models Based on 3D, Composition, Sequences and Topological Indices, German Conference on Bioinformatics (GCB), Potsdam, Germany (September, 2007) [pdf]

12. Cristian R. Munteanu and A. L. Magalhães, The Potential Physical Interactions of the Amino Acids in Protein Secondary Structures, International Conference of Physical Chemistry - ROMPHYSCHEM-12, Bucharest, Romania (September, 2006)

13. Berta Fernández, José L. Cagide Fajín, Cristian R. Munteanu, Javier López Cacheiro and Peter M. Felker, Accurate van der Waals complex rovibrational spectra,  XIIth International Congress of Quantum Chemistry, Kyoto, Japan (May, 2006)

14. Nuno A. Fonseca, Rui Camacho, A. L. Magalhães and Cristian R. Munteanu, Relevance of Short Sequences of Amino Acid Residues at the Tips of Helical Segments of Proteins, 4th REQUIMTE Meeting, Fatima, Portugal (March, 2006)

15. José L. Cagide Fajín, Berta Fernández, Javier López Cacheiro, Jan Makarewicz and Cristian R. Munteanu, Accurate intermolecular ground state potential of van der Waals complexes, International Karlsruhe Nanoscience Workshop “Computational Tools for Molecules, Clusters and Nanostructures”, Germany (January, 2005)

16. Berta Fernández, José L. Cagide Fajín, Jan Makarewicz, Cristian R. Munteanu and Javier López Cacheiro, Accurate rovibrational spectra of van der Waals complexes, 7th Congress of the World Association of Theoretically Oriented Chemists (WATOC) – Modelling Structure and Reactivity, Cape Town, South Africa (January, 2005)

17. José L. Cagide Fajín, Jan Makarewicz, Cristian R. Munteanu, Javier López, Cacheiro and Berta Fernández, Accurate theoretical evaluation of van der Waals complex rovibrational spectra,  Vibrational Spectroscopy, Molecular Structure and Dynamics Symposium Poster Session 1, European Congress on Molecular Spectroscopy, Poland (September, 2004)

18. D. Oancea, Domnina Razus, Cristian. R. Munteanu and N. I. Ionescu, The Influence of Catalytic Activity of Heated Platinum Wires on the Ignition of Fuel/Air Mixtures, 6th National Symp. On Catalysis, Bucharest, Romania (July, 2000)

19. Serban Fleschin, Vasile Magearu, Silvia Nita and Cristian R. Munteanu, Electrochemical device for the rapid detection of pesticide and fungicide in environment and molecular modelling studies of some interference substances, NATO Advanced Study Institute, Enzymes in Heteroatom Chemistry, Green Solutions for Chemical Problems, Berg en Dal near Nijmegen, Netherlands (June, 1999)