biblio

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Journal Article
R. Vyas, Bapat, S., Goel, P., Karthikeyan, M., Tambe, S. S., and Kulkarni, B. D., Application of genetic programming (GP) formalism for building disease predictive models from protein-protein interactions (PPI) data, IEEE-ACM Transactions on Computational Biology and Bioinformatics, vol. 15, no. 1, pp. 27-37, 2018.
R. Vyas, Bapat, S., Jain, E., Karthikeyan, M., Tambe, S., and Kulkarni, B. D., Building and analysis of protein-protein interactions related to diabetes mellitus using support vector machine, biomedical text mining and network analysis, Computational Biology and Chemistry, vol. 65, pp. 37-44, 2016.
M. Karthikeyan, Nimje, D., Pahujani, R., Tyagi, K., Bapat, S., Vyas, R., and Padmakumar, K. Pillai, Chemoinformatics approach for building molecular networks from marine organisms, Combinatorial Chemistry & High Throughput Screening, vol. 18, no. 7, pp. 673-684, 2015.
S. Bapat, Vyas, R., and Karthikeyan, M., Exploring energy profiles of protein-protein interactions (PPIs) Using DFT method, Letters in Drug Design & Discovery, vol. 16, no. 6, pp. 670-677, 2019.
P. Goel, Bapat, S., Vyas, R., Tambe, A., and Tambe, S. S., Genetic programming based quantitative structure-retention relationships for the prediction of Kovats retention indices, Journal of Chromatography A, vol. 1420, pp. 98-109, 2015.
V. Nalla, Shaikh, A., Bapat, S., Vyas, R., Karthikeyan, M., Yogeeswari, P., Sriram, D., and Muthukrishnan, M., Identification of potent chromone embedded [1,2,3]-triazoles as novel anti-tubercular agents, Royal Society Open Science, vol. 5, no. 4, p. Article Number: 171750, 2018.
N. Shaikh, Bapat, S., Karthikeyan, M., and Vyas, R., Review on computational analysis of big data in breast cancer for predicting potential biomarkers, Current Topics in Medicinal Chemistry, vol. 22, no. 21, pp. 1793-1810, 2022.
R. Vyas, Bapat, S., Jain, E., Tambe, S. S., Karthikeyan, M., and Kulkarni, B. D., Study of applications of machine learning based classification methods for virtual screening of lead molecules, Combinatorial Chemistry & High Throughput Screening, vol. 18, no. 7, pp. 658-672, 2015.
S. Bapat, Viswanadh, N., Mujahid, M., Shirazi, A. Nasrolahi, Tiwari, R., Parang, K., Karthikeyan, M., Muthukrishnan, M., and Vyas, R., Synthesis, biological evaluation and molecular modeling studies of novel chromone/Aza-chromone fused α-aminophosphonates as Src kinase inhibitors, Journal of Scientific and Industrial Research, vol. 78, no. 2, pp. 111-117, 2019.