Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseases
Keywords
Cited by (0)
Madhulata Kumari is a research associate in the School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, India. She holds Ph.D. in Information Technology by the Kumaun University, Nainital, Uttarakhand, India. Her main area of research interest is the data mining, machine learning, deep learning, molecular docking, Molecular dynamic simulation, pharmacophore modelling, 3D-QSAR modelling, lead optimization and in silico ADMET prediction and drug design. Her work has been published in various peer-reviewed journals.
Naidu Subbarao is an Associate Professor in the School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, India. He received his MSc and PhD from IIT Kanpur. His research interests molecular modelling, molecular docking, Molecular dynamic simulation, pharmacophore modelling, 3D-QSAR modelling, development of drug target databases of Plasmodium falciparum and Mycobacterium tuberculosis, computational biology, cooperativity in macromolecules, protein-protein interactions, and structure based drug designing. His work has been published in various peer-reviewed journals.