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01
Papers
Our published articles in a chronological order.
2021
2020
2018
2017
2016
2015
2014
2021
2020
- Srivastava, P., Choudhury, A., Talwar, M., Mohanty, S., Narad, P., & Sengupta, A. (2020). VIRdb: a comprehensive database for interactive analysis of genes/proteins involved in the pathogenesis of vitiligo. PeerJ, 8, e9119.
- Bharti, S., Sengupta, A., Chugh, P., & Narad, P. (2020). PluriMetNet: A dynamic electronic model decrypting the metabolic variations in human embryonic stem cells (hESCs) at fluctuating oxygen concentrations. Journal of Biomolecular Structure and Dynamics, 1-9.
- Kumar, D., Baligar, P., Srivastav, R., Narad, P., Raj, S., Tandon, C., & Tandon, S. (2020). Stem Cell Based Preclinical Drug Development and Toxicity Prediction. Current Pharmaceutical Design.
- Narad, P., & Bansal, H. (2020). Computational identification of essential enzymes as potential drug targets in Shigella flexneri pathogenesis using metabolic pathway analysis and epitope mapping. Journal of Microbiology and Biotechnology.
- Srivastava, P., Talwar, M., Yadav, A., Choudhary, A., Mohanty, S., Bharti, S., & Sengupta, A. (2020). VIRdb 2.0: Interactive analysis of comorbidity conditions associated with vitiligo pathogenesis using co-expression network-based approach. F1000Research, 9(1055), 1055.
2018
2017
2016
- Narad, P., Kumar, A., Chakraborty, A., Patni, P., Sengupta, A., Wadhwa, G., & Upadhyaya, K. C. (2016). Transcription Factor Information System (TFIS): A Tool for Detection of Transcription Factor Binding Sites. Interdisciplinary Sciences: Computational Life Sciences, 1-14.
- Narad, P., Chaurasia, A., Wadhwa, G., & Upadhyayaa, K. C. (2016). Net2Align: An Algorithm for Pairwise Global Alignment of Biological Networks. Bioinformation, 12(12), 408-411.
2015
- Sengupta, A., Grover, M., Chakraborty, A., & Saxena, S. (2015). HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual. Plos One, 10(6).
- Mitra, J., Narad, P., Sengupta, A., Sharma, P. D., & Paul, P. K. (2015). In silico Identification of Ergosterol as a Novel Fungal Metabolite Enhancing RuBisCO Activity in Lycopersicum esculentum. Interdisciplinary Sciences: Computational Life Sciences, 1-12.
2014
- Narad, P., & Upadhyaya, K. C. (2014). Integrative Bioinformatics Approaches to Analyze Molecular Events in Pluripotency. Biology and Medicine, 2014.
- Narad, P., Jain, A., Sengupta, A.(2014); Docking studies for tuberculosis taking alanine racemase as a receptor and a novel plant source quercetin as a potential drug source, International J. of Pharma and BioSciences, Vol.5, Issue 3: B31-B39.
02
Book Chapters
- Chaurasia, A., Vats, S., Sengupta, A., Bansal, A., & Narad, P. (2021). Practical Applications of Artificial Intelligence for Disease Prognosis and Management. In Artificial Intelligence and Machine Learning in Healthcare (pp. 1–36). Springer Singapore.
- Sengupta, A., Naresh, G., Mishra, A., Parashar, D., & Narad, P. (2021). Proteome analysis using machine learning approaches and its applications to diseases. Proteomics and Systems Biology Advances in Protein Chemistry and Structural Biology, 161-216.
- Contributed a Chapter on Metabolomics in the Book on “Omics approaches, technologies and applications”, by Dr. A. Preeti and Dr. G. Misra published by Springer, ISBN -978-981-13-2924-1 (2018).
- Contributed a Chapter on Introduction to Omics in the Book on “Omics approaches, technologies and applications”, by Dr. A. Preeti and Dr. G. Misra published by Springer, ISBN -978-981-13-2924-1 (2018).
- Biology of Useful Plants and Microbes (2013), ISBN- 13: 978-8184872644.