Vinod Kumar
Senior Research Fellow

Area of Interest

  • RNA-seq analysis (Next Generation Sequencing), Metagenomics, Peptide therapeutics, Peptide-informatics, Neuro-informatics, Immuno-informatics, Cancer Immuno-therapeutics, Biomarker identification for precision medicines, Machine learning, Multi-omics data analysis, Data mining

Scholarship and Awards

  • Qualified national level JNU CEEB exam with all India in 2012

  • Qualified national level CSIR-JRF exam with all India 97th rank in 2013

  • Qualified national level CSIR-JRF exam with all India 103rd rank in 2014

Important Publications

  • 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.

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