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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.
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, Karthikeyan, M., Nainaru, G., and Muthukrishnan, M., “Pharmacophore and docking based virtual screening of validated mycobacterium tuberculosis targets”, Combinatorial Chemistry & High Throughput Screening, vol. 18, no. 7, pp. 624-637, 2015.
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.
R. Vyas, Goel, P., Karthikeyan, M., Tambe, S. S., and Kulkarni, B. D., “Pharmacokinetic modeling of caco-2 cell permeability using genetic programming (GP) method”, Letters in Drug Design & Discovery, vol. 11, no. 9, pp. 1112-1118, 2014.