Book Chapters

2023

1. Ahmad, S., Sheikh, K., Bano, N., Rafeeq, M. M., Mohammed, M. R. S., Yadav, M. K., & Raza, K. (2024). Beispielhafte Implikationen von naturinspirierten Berechnungsmethoden auf Therapeutika und computergestützte Arzneimittelentwicklung. In Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik (pp. 325-341). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-7808-3_15 

2. Sheikh, K., Sayeed, S., Asif, A., Siddiqui, M. F., Rafeeq, M. M., Sahu, A., & Ahmad, S. (2024). Bedeutende Innovationen in naturinspirierten intelligenten Computertechniken zur Identifizierung von Biomarkern und potenziellen therapeutischen Mitteln. In Von der Natur inspirierte intelligente Datenverarbeitungstechniken in der Bioinformatik (pp. 273-303). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-7808-3_13 

2023

3. Ahmad, S., Aslam, D., Ansari, A., Bhat, AM., Raza, K., (2024). Deep learning in computer-aided drug design: a case study. Elsevier-Deep Learning Applications in Translational Bioinformatics. https://doi.org/10.1016/B978-0-443-22299-3.00012-8.

4. Ahmad, S., Kishan, A., Chitkara, P., Asiri, S.A., Eswaran, M., Mehta, S., Alam, M., (2023). Natural Product-Based Drug Designing for Treatment of Human Parasitic Diseases. Springer- Natural Product based Drug Discovery against Human Parasites. https://doi.org/10.1007/978-981-19-9605-4_3 

5. Yadav, M.K., Bhutani, K., Ahmad, S., Raza, K., Singh, A., Kumar, S., (2023). Application of machine learning-based approaches in stem cell research. Elsevier- Computational Biology for Stem Cell Research. http://dx.doi.org/10.1016/B978-0-443-13222-3.00007-1 

6. Ahmad, S., Raza, K., (2023). 5-Nitroindazole against Lung Cancer: A multitargeted in-silico molecular docking and Molecular Dynamics simulation study.  In the 3rd International Electronic Conference on Cancers: New Targets for Cancer Therapies (IECC 2023) (Session: Overcoming Therapeutic Resistance), organised by MDPI-Sciforum and Published in MDPI-Medical Sciences Forum journal (ISSN 2673-9992) https://sciforum.net/paper/view/14216 (PhD thesis Work). 

7. Ahmad, S., Raza, K., (2023). Multialgorithms-based docking reveals Imidazolidinyl urea as a multitargeted inhibitor for Lung Cancer. In the 2nd International Electronic Conference on Biomedicines (Session: Immune System, Tumor Immunology and Autoimmune Diseases), organised by MDPI-Sciforum and Published in MDPI-Medical Sciences Forum journal (ISSN 2673-9992). https://doi.org/10.3390/ECB2023-14138 (PhD thesis Work). 

8. Ahmad, S., Dahiya, V., Vibhuti, A., Pandey, R.P., Tripathi, M.K., Yadav, M.K. (2023). Therapeutic Protein-Based Vaccines. Springer- Protein-based Therapeutics. https://doi.org/10.1007/978-981-19-8249-1_13.

9. Ahmad, S., Khan, F., N.,  Ramlal, A., Begum, S., Qazi, S., Raza, K. (2023). Nanoinformatics and Nanomodeling: Recent developments in computational nanodrug design and delivery systems. Elsevier- Emerging Nanotechnologies for Medical Applications. https://doi.org/10.1016/B978-0-323-91182-5.00001-2.

2022

10. Ahmad, S., Sheikh, K., Bano, N., Rafeeq, M., M., Yadav, M., K., Mohammad, M., R., S., Raza, K. (2022). Illustrious Implications of NIC Methods in Therapeutics and Computer-Aided Drug Design. Springer- Nature-Inspired Intelligent Computing Techniques in Bioinformatics. https://doi.org/10.1007/978-981-19-6379-7_15.

11. Sheikh, K., Sayeed, S., Asif, A., Siddiqui, M., F., Rafeeq, M., Sahu, A., Ahmad, S. (2022). Consequential Innovations in NIC Techniques for Biomarkers and Potential Therapeutics Identification. Springer- Nature-Inspired Intelligent Computing Techniques in Bioinformatics. https://doi.org/10.1007/978-981-19-6379-7_13.

12. Tripathi, M. K., Ahmad, S., Tyagi, R., Dahiya, V., & Yadav, M. K. (2022). Fundamentals of molecular modeling in drug design. Elsevier- Computer Aided Drug Design: From Ligand-Based Methods to Structure-Based Approaches. https://doi.org/10.1016/B978-0-323-90608-1.00001-0

13. Karwasra R., Khanna K., Singh S., Ahmad S., Verma S. (2022) The Incipient Role of Computational Intelligence in Oncology: Drug Designing, Discovery, and Development. Springer- Computational Intelligence in Oncology. https://doi.org/10.1007/978-981-16-9221-5_21

2021

14. Khan, F.N., Khanam, A.A., Ramlal, A. and Ahmad, S., 2021. A review on predictive systems and data models for covid-19. In Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis (pp. 123-164), Springer. https://doi.org/10.1007/978-981-15-8534-0_7

15. Ahmad, S., Chitkara, P., Khan, F.N., Kishan, A., Alok, V., Ramlal, A. and Mehta, S., 2021. Mobile Technology Solution for COVID-19: Surveillance and Prevention. Springer- Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis. https://doi.org/10.1007/978-981-15-8534-0_5

16. Ramlal, A., Ahmad, S., Kumar, L., Khan, F.N., Chongtham, R., 2021. From molecules to patients: The clinical applications of biological databases and electronic health record. Elsevier- Translational Bioinformatics in Healthcare and Medicine. https://doi.org/10.1016/B978-0-323-89824-9.00009-4

17. Khan, F.N., Ahmad, S. and Raza, K., 2021. Clinical Applications of Next-generation sequence analysis in Acute Myelogenous Leukemia (AML). T & F- Translational Bioinformatics Applications in Healthcare. https://dx.doi.org/10.1201/9781003146988-4

18. Bharti, J., Mehta, S., Ahmad, S., Singh, B., Padhy, A.K., Srivastava, N. and Pandey, V., 2021. Mitogen-activated protein kinase, plants, and heat stress. Springer- Harsh Environment and Plant Resilience. https://doi.org/10.1007/978-3-030-65912-7_13

19. Balasubramanian, B., Ahmad, S., Alok, V., Khan, F.N., Anand, K., Mehta, S., Easwaran, M., Meyyazhagan, A. and Saravanan, M., 2021. Exosomes as an emerging nanoplatform for functional therapeutics. Elsevier- Handbook on Nanobiomaterials for Therapeutics and Diagnostic Applications. https://doi.org/10.1016/B978-0-12-821013-0.00002-7