Kumar, V., Agrawal, P., Kumar, R., Bhalla, S., Usmani, S. S., Varshney, G. C., & Raghava, G. (2018). Prediction of Cell-Penetrating Potential of Modified Peptides Containing Natural and Chemically Modified Residues. Frontiers in microbiology, 9, 725
Kumar, V., Kumar, R., Agrawal, P., Patiyal, S., & Raghava, G. (2020). A Method for Predicting Hemolytic Potency of Chemically Modified Peptides from Its Structure. Frontiers in pharmacology, 11, 54
Kumar, R., Lathwal, A., Kumar, V.,, Patiyal, S., Raghav, P. K., & Raghava, G. (2020). CancerEnD: A database of cancer-associated enhancers. Genomics, 112(5), 3696–3702
Kumar, R., Patiyal, S., Kumar, V., Nagpal, G., & Raghava, G. (2019). In Silico Analysis of Gene Expression Change Associated with Copy Number of Enhancers in Pancreatic Adenocarcinoma. International journal of molecular sciences, 20(14), 3582
Kumar, R., Nagpal, G.,Kumar, V., Usmani, S. S., Agrawal, P., & Raghava, G. (2019). HumCFS: a database of fragile sites in human chromosomes. BMC genomics, 19(Suppl 9), 985
Raghav, P. K., Kumar, R., Kumar, V., & Raghava, G. (2019). Docking-based approach for identification of mutations that disrupt binding between Bcl-2 and Bax proteins: Inducing apoptosis in cancer cells. Molecular genetics & genomic medicine, 7(11), e910.
Usmani, S. S., Kumar, R., Kumar, V., Singh, S., & Raghava, G. (2018). AntiTbPdb: a knowledgebase of anti-tubercular peptides. Database: the journal of biological databases and curation, 2018, bay025.
Usmani, S. S., Kumar, R., Bhalla, S., Kumar, V., & Raghava, G. (2018). In Silico Tools and Databases for Designing Peptide-Based Vaccine and Drugs. Advances in protein chemistry and structural biology, 112, 221–263.
Patiyal, S., Agrawal, P., Kumar, V., Dhall, A., Kumar, R., Mishra, G., & Raghava, G. (2020). NAGbinder: An approach for identifying N-acetylglucosamine interacting residues of a protein from its primary sequence. Protein science: a publication of the Protein Society, 29(1), 201–210.
Agrawal, P., Patiyal, S., Kumar, R., Kumar, V., Singh, H., Raghav, P. K., & Raghava, G. (2019). ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank. Database: the journal of biological databases and curation, 2019, bay142.
Dwivedi, V. D., Arya, A., Yadav, P., Kumar, R., Kumar, V., & Raghava, G. (2020). DenvInD: dengue virus inhibitors database for clinical and molecular research. Briefings in bioinformatics, bbaa098.