Embedded Files
Domain : Bioinformatics
Domain : Bioinformatics
List of Publications (Journals)
List of Publications (Journals)
1. S. Saha, K. Sengupta, P. Chatterjee, S. Basu, and M. Nasipuri, “Analysis of protein targets in pathogen–host interaction in infectious diseases: a case study on Plasmodium falciparum and Homo sapiens interaction network,” Brief. Funct. Genomics, vol. 17, no. 6, pp. 441–450, Sep. 2017. (Sci impact factor:3.783) [Click here]
2. Saha S, Chatterjee P, Basu S, et al (2014) FunPred-1: Protein function prediction from a protein interaction network using neighborhood analysis. Cell Mol Biol Lett 19:. doi: 10.2478/s11658-014-0221-5. (Sci impact factor: 1.291) [Click here]
3. Saha S, Prasad A, Chatterjee P, Basu S, Nasipuri M (2018) Protein function prediction from protein–protein interaction network using gene ontology based neighborhood analysis and physico-chemical features. J Bioinform Comput Biol 16:1850025. doi: 10.1142/s0219720018500257. (Sci impact factor: 0.99) [Click here]
4. S. Saha, P. Chatterjee, S. Basu, M. Nasipuri, and D. Plewczynski, “FunPred 3.0: improved protein function prediction using protein interaction network”. PeerJ, vol. 7, p. e6830, May 2019. (Sci impact factor: 2.118) [Click here]
5. Saha S, Prasad A, Chatterjee P, Basu S, Nasipuri M (2019) Protein function prediction from dynamic protein interaction network using gene expression data. J Bioinform Comput Biol. doi: 10.1142/S0219720019500252. (Sci impact factor: 0.99) [Click here]
6. Saha S, Prasad A, Chatterjee P, Basu S, Nasipuri M (2021) Modified FPred-Apriori: improving function prediction of target proteins from essential neighbours by finding their association with relevant functional groups using Apriori algorithm. Int J Adv Intell Paradig. Vol. 19, No. 1, 2021. doi: 10.1504/IJAIP.2021.10036963.(CiteScore: 0.8) [Click here]
7. K. Sengupta, S. Saha, P. Chatterjee, M. Kundu, M. Nasipuri, S. Basu, (2019) Identification of Essential Proteins by Detecting Topological and Functional Clusters in Protein Interaction Network of Saccharomyces Cerevisiae. Int J Nat Comput Res 8:21. doi: 10.4018/IJNCR.2019010103. [Click here]
8. Saha S, Chatterjee P (2014) Protein Function Prediction from Protein Interaction Network using Physico-Chemical Properties of Amino Acids. Int J Pharm Biol Sci 4:55–65. [Click here]
9. Saha S, Chatterjee P, Nasipuri M, Basu S. 2021. Detection of spreader nodes in human-SARS-CoV protein-protein interaction network. PeerJ 9:e12117 https://doi.org/10.7717/peerj.12117. (Sci impact factor: 2.984) [Click here]
10. Saha, S., Kumar Halder, A., Sekhar Bandyopadhyay, S., Chatterjee, P., Nasipuri, M., & Basu, S. (2021). Computational Modeling of Human-nCoV Protein-Protein Interaction Network. Methods (San Diego, Calif.). doi:https://doi.org/10.1016/j.ymeth.2021.12.003 (Sci impact factor: 3.608) [Click here]
11. Saha, S., Kumar Halder, A., Bandyopadhyay, S. S., Chatterjee, P., Nasipuri, M., Bose, D., & Basu, S. (2021). Drug repurposing for COVID-19 using computational screening: Is Fostamatinib/ R406 a potential candidate?. Methods (San Diego, Calif.), S1046-2023(21)00205-X. Advance online publication. https://doi.org/10.1016/j.ymeth.2021.08.007. (Sci impact factor: 3.608) [Click here]
12. Banik, Anik, Souvik Podder, Sovan Saha, Piyali Chatterjee, Anup Kumar Halder, Mita Nasipuri, Subhadip Basu, and Dariusz Plewczynski. 2022. "Rule-Based Pruning and In Silico Identification of Essential Proteins in Yeast PPIN" Cells 11, no. 17: 2648. https://doi.org/10.3390/cells11172648. (Sci impact factor: 7.666) [Click here]
13. Sengupta K, Saha S, Halder AK, Chatterjee P, Nasipuri M, Basu S and Plewczynski D (2022) PFP-GO: Integrating protein sequence, domain and protein-protein interaction information for protein function prediction using ranked GO terms. Front. Genet. 13:969915. doi: 10.3389/fgene.2022.969915 (Sci impact factor: 4.274) [Click here]
14. Saha, Sovan, Piyali Chatterjee, Anup Kumar Halder, Mita Nasipuri, Subhadip Basu, and Dariusz Plewczynski. 2022.. "ML-DTD: Machine Learning-Based Drug Target Discovery for the Potential Treatment of COVID-19" Vaccines 10, no. 10: 1643. https://doi.org/10.3390/vaccines10101643 (Sci impact factor: 4.961) [Click here]
15. Bandyopadhyay, Soumyendu Sekhar, Anup Kumar Halder, Sovan Saha, Piyali Chatterjee, Mita Nasipuri, and Subhadip Basu. 2023. "Assessment of GO-Based Protein Interaction Affinities in the Large-Scale Human–Coronavirus Family Interactome" Vaccines 11, no. 3: 549. https://doi.org/10.3390/vaccines11030549 (Sci impact factor: 4.961) [Click here]
16. Sovan Saha, Piyali Chatterjee, Mita Nasipuri, Subhadip Basu, Tapabrata Chakraborti, Computational drug repurposing for viral infectious diseases: a case study on monkeypox, Briefings in Functional Genomics, 2024;, elad058, https://doi.org/10.1093/bfgp/elad058 (Sci impact factor: 4.3) [Click here]
17. Saha S, Chatterjee P, Basu S, Nasipuri M. 2024. EPI-SF: essential protein identification in protein interaction networks using sequence features. PeerJ 12:e17010 https://doi.org/10.7717/peerj.17010 (Sci impact factor: 3.8) [Click here]
18. Paul, D., Saha, S., Basu, S. et al. Computational analysis of pathogen-host interactome for fast and low-risk in-silico drug repurposing in emerging viral threats like Mpox. Sci Rep 14, 18736 (2024). https://doi.org/10.1038/s41598-024-69617-8 (Sci impact factor: 3.8) [Click here]
List of Publications (International/National Conferences)
List of Publications (International/National Conferences)
1. Prasad A, Saha S, Chatterjee P, et al (2017) Protein Function Prediction from Protein Interaction Network Using Bottom-up L2L Apriori Algorithm. In: Computational Intelligence, Communications, and Business Analytics. Springer, Singapore, pp 3–16. [Click here]
2. Saha S, Chatterjee P, Basu S, et al (2012) Improving prediction of protein function from protein interaction network using intelligent neighborhood approach. In: 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS). IEEE, pp 584–587[Click here]
3. Saha S, Chatterjee P, Basu S, Nasipuri M (2017a) Gene Ontology Based Function Prediction of Human Protein Using Protein Sequence and Neighborhood Property of PPI Network. In: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications. Springer, Singapore, pp 109–118. [Click here]
4. Saha S, Chatterjee P, Basu S, Nasipuri M (2017b) Functional Group Prediction of Un-annotated Protein by Exploiting Its Neighborhood Analysis in Saccharomyces Cerevisiae Protein Interaction Network. In: Advanced Computing and Systems for Security. Springer Singapore, pp 165–177. [Click here]
5. Sengupta K, Saha S, Chatterjee P, et al (2017) Ranked Gene Ontology based Protein Function Prediction by Analysis of Protein-Protein Interactions. In: Proceedings of the 6th International Conference on FICTA. Springer Nature. [Click here]
6. Basak S.N., Biswas A.K., Saha S., Chatterjee P., Basu S., Nasipuri M. (2019) Target Protein Function Prediction by Identification of Essential Proteins in Protein-Protein Interaction Network. In: Mandal J., Mukhopadhyay S., Dutta P., Dasgupta K. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2018. Communications in Computer and Information Science, vol 1031. Springer, Singapore. [Click here]
7. S. Saha, P. Chatterjee, S. Basu and M. Nasipuri, "Multiple Functions Prediction of Yeast Saccharomyces Cerevisiae Proteins using Protein Interaction Information, Sequence Similarity and FunCat Taxonomy," 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE), Kolkata, India, 2020, pp. 170-174, doi: 10.1109/ICCE50343.2020.9290574. [Click here]
8. R. Sarkar et al., "CarePro: A Complete Arduino and Android-based Elderly Care Health and Security Monitoring System," 2021 International Conference on Computational Performance Evaluation (ComPE), IEEE, 2021, pp. 097-102, doi: 10.1109/ComPE53109.2021.9752318. [Click here]
9. Jha, S., Das, C., Saha, S. (2023). NCSML-HDTD: Network Centrality and Sequence-Based Machine Learning Methodology for Human Drug Targets Discovery of COVID-19. In: Sarkar, R., Pal, S., Basu, S., Plewczynski, D., Bhattacharjee, D. (eds) Proceedings of International Conference on Frontiers in Computing and Systems. COMSYS 2022. Lecture Notes in Networks and Systems, vol 690. Springer, Singapore. [Click here]
10. Chakraborty, B., Adhikari, A., Bhagat, A.K., Gautam, A., Chatterjee, P., Saha, S. (2023). Prediction of COVID-19 Drug Targets Based on Protein Sequence and Network Properties Using Machine Learning Algorithm. In: Das, N., Binong, J., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2022. Algorithms for Intelligent Systems. Springer, Singapore. [Click here]
11. Das, C., Saha, S. (2024). Identification of Human Drug Targets for COVID-19 Based on Subcellular Localization Information, Gene Expression Data, and Node2vec. In: Kole, D.K., Roy Chowdhury, S., Basu, S., Plewczynski, D., Bhattacharjee, D. (eds) Proceedings of 4th International Conference on Frontiers in Computing and Systems. COMSYS 2023. Lecture Notes in Networks and Systems, vol 974. Springer, Singapore. https://doi.org/10.1007/978-981-97-2611-0_36. [Click here]
12. Kamal, K., Das, N.S., Rakshit, S., Dutta, R., Saha, S. (2024). Maatran: Revolutionizing Maternal Care Through Remote Monitoring and Risk Prediction. In: Kole, D.K., Roy Chowdhury, S., Basu, S., Plewczynski, D., Bhattacharjee, D. (eds) Proceedings of 4th International Conference on Frontiers in Computing and Systems. COMSYS 2023. Lecture Notes in Networks and Systems, vol 975. Springer, Singapore. https://doi.org/10.1007/978-981-97-2614-1_17. [Click here]
13. Paul, D., Patua, R., Saha, S., Halder, A.K., Basu, S. (2025). GSPPI: GraphSAGE-Based Prediction of Protein-Protein Interactions Using Graphlet Features. In: Das, N., Khan, A.K., Mandal, S., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2023. Lecture Notes in Networks and Systems, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-97-8476-9_8. [Click here]
14. Chakraborty, S., Saha, S. (2025). Identification of Potential Human Drug Targets of Malaria Using Protein-Protein Interaction Network. In: Das, N., Khan, A.K., Mandal, S., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2023. Lecture Notes in Networks and Systems, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-97-8476-9_6. [Click here]
15. Kamal, K., Saha, S. (2025). Autoencoder and LSTM-Based Model for Predicting Cancer Hub Genes Using PPI Network Topology. In: Das, N., Khan, A.K., Mandal, S., Krejcar, O., Bhattacharjee, D. (eds) Proceedings of International Conference on Data, Electronics and Computing. ICDEC 2023. Lecture Notes in Networks and Systems, vol 1102. Springer, Singapore. https://doi.org/10.1007/978-981-97-8476-9_7. [Click here]
List of Publications (Books)
List of Publications (Books)
Name: Protein Function Prediction from Protein Interaction NetworkPublisher: Lambert Publication, GermanyAuthors: Sovan Saha, Piyali ChatterjeeISSN/ISBN: 978-3-65940278-4Publication Year: 2013
List of Publications (Book Chapters)
List of Publications (Book Chapters)
Book Name: Contemporary Medical Biotechnology Research for Human Health.Chapter Name: Identification of potential drug targets by detangling protein–protein interaction network.Chapter No.: 17Authors: Urmila Nair, Nabanil Chatterjee, Sovan Saha, Piyali Chatterjee, Subhadip Basu, Mita NasipuriPublisher: Elsevier, San Diego, CA. Publication Year: 2021[Click Here]
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