International Journals

  1. Choudhary, P., Waseem, M., Kumar, S., Subbarao, N., Srivastava, S., Chakdar, H. (2023) Y12F mutation in Pseudomonas plecoglossicida S7 lipase enhances its thermal and pH stability for industrial applications: a combination of in silico and in vitro study. World J Microbiol Biotechnol. 39(3):75. doi: https://doi.org/10.1007/s11274-023-03518-2. PMID: 36637534.
  2. Tyagi, R., Paul, A., Raj, V.S., Ojha, K.K., Kumar, S.*, Panda, A.K., Chaurasia, A., Yadav, M.K. (2023) A Drug Repurposing Approach to Identify Therapeutics by Screening Pathogen Box Exploiting SARS-CoV-2 Main Protease. Chem Biodivers. e202200600. doi: https://doi.org/10.1002/cbdv.202200600. PMID: 36597267.
  3. Samal, I., Bhoi, T. K., Majhi, P. K., Murmu, S., Pradhan, A. K., Kumar, D., ... & Al Balawi, T. (2023). Combatting insects mediated biotic stress through plant associated endophytic entomopathogenic fungi in horticultural crops. https://doi.org/10.3389/fpls.2022.1098673
  4. Sharma, R., Arora, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Lal, S. B., Mishra, D. C., Farooqi, M. S., & Srivastava, S. (2023). Study on the muscle transcriptome of two diverse Indian backyard poultry breeds acclimatized to different agro-ecological conditions. Molecular biology reports, 10.1007/s11033-022-08223-1. Advance online publication. https://doi.org/10.1007/s11033-022-08223-1
  5. Sharma, S., Archak, S., Majumdar, S., Mishra, D.c., & Rai A., (2022). Comparison of Supervised Machine Learning Techniques in Classifying Vitamin Biosynthesis Genes. Journal of The Indian Society of Agricultural Statistics. 76(3) 141–146
  6. A., Bulbul, Haque, Md. A., Iquebal, M.A., Jaiswal, S., Angadi, U.B., Kumar, D., Rai, A. (2023) DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals. Frontiers in Plant Science https://doi.org/10.3389/fpls.2022.1008756