Assistant Professor
School of Sciences and Humanities
Vellore Institute of Technology, Vellore
1
Football, Computers, GPU
Computational Drug Discovery, Molecular Dynamics, Machine Learning, Genomic data analysis (Microarray, RNA-Seq)
Mail: t.muthukumar@sru.edu.in
Ph.D in Bioinformatics from Vellore Institute of Technology, Vellore, TN, India
M. Tech in Biotechnology from Kamaraj College of Engineering and Technology, Virudhunagar,TN, India
B.Tech in Biotechnology from Adhiyamaan College of Engineering, Hosur, TN, India
Assistant Professor at Bannari Amman Institute of Technology, Sathyamangalam, TN, India, from 2023-04-01 to 2024-01-12.
UG
Muthu Kumar, T., Shanthi. V., Ramanathan, K. (2023). Sequential virtual screening collaborated with machine-learning strategies for the discovery of precise medicine against non-small cell lung cancer, Journal of Biomolecular Structure and Dynamics. Doi: 10.1080/07391102.2023.2194994. IF: 5.235 (Q2)
Dhakshinamoorthy Dhayanitha, Muthu Kumar T, Karuppasamy Ramanathan (2023). Development of machine learning models for post-operative recurrence prediction in lung cancer patients. Research Journal of Biotechnology. Scopus Indexed.
Muthu Kumar, T., Suriya, U., Rungrotmongkol, T., Ramanathan, K. (2022). In Silico Screening of Available Drugs Targeting Non-Small Cell Lung Cancer Targets: A Drug Repurposing Approach. Pharmaceutics, 14(1), 59. IF: 6.525 (Q1)
Muthu Kumar, T., Ramanathan, K. (2022). Revealing the Potency of Natural Compounds as Dual Kinase Blockers by Structure-Based Modeling and Extensive MD Simulation Strategy. Journal of Computational Biophysics and Chemistry, 21(05), 515-528. IF: 2.44 (Q4)
Muthu Kumar, T., Shanthi, V., Ramanathan, K. (2022). Computational biophysics approach towards the discovery of multi-kinase blockers for the management of MAPK pathway dysregulation. Molecular Diversity, 1-18. https://doi.org/10.1007/s11030-022-10545-y IF: 3.364 (Q3)
Muthu Kumar, T., Ramanathan, K. (2022). Forecasting determinants of recurrence in lung cancer patients exploiting various machine learning models. Journal of Biopharmaceutical Statistics, https://doi.org/10.1080/10543406.2022.2148162 IF: 1.503 (Q3)
Kumar, T.M., Ramanathan, K. (2021). MAPK: A promising signaling pathway in targeted therapy for the treatment of NSCLC. Research journal of biotechnology, 16(7), 231 – 239. (Q4)
Muthu Kumar, T., Rohini, K., Nivya James, S. V., & Ramanathan, K. (2021). Discovery of potent Covid?19 main protease inhibitors using integrated drug?repurposing strategy. Biotechnology and Applied Biochemistry, 68(4), 712-725. IF. 2.724 (Q3)
Nivetha, R., Bhuvaragavan, S., Muthu Kumar, T., Ramanathan, K., & Janarthanan, S. (2021). Inhibition of multiple SARS-CoV-2 proteins by an antiviral biomolecule, seselin from Aegle marmelos deciphered using molecular docking analysis. Journal of Biomolecular structure and dynamics, Doi: 10.1080/07391102.2021.1955009. IF: 5.235 (Q2)
Muthu Kumar, T., Ramanathan, K. (2021). Drug repurposing combined with MM/PBSA based validation strategies towards MEK inhibitors screening. Journal of Biomolecular structure and Dynamics, 1-12. Doi: 10.1080/07391102.2021.1970629. IF: 5.235 (Q2)
Muthu Kumar, T., Shin, W.-H., Ramanathan, K. (2021). Exploring safe and potent bioactives for the treatment of non-small cell lung cancer. 3-Biotech, 11(5), 241. IF: 2.893 (Q3)
Tamilmani, S., Muthukumar, T., Saravanan, S., Karventhan, B., Saravanan, K., Ramesh Babu, N.G., Ragunathan, G. (2017) Biodegradation of Nicotine Obtained from Tobacco Powder using Pseudomonos aeruginosa Sp. IJERM, 4(1), 101-104.
