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Madhulata

Showing results (1-10 of 28) with videos related to

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Computers in Biology and Medicine|March 15, 2021
Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseasesMadhulata Kumari, Naidu Subbarao
Journal of Biomolecular Structure & Dynamics|November 23, 2019
Virtual screening to identify novel potential inhibitors for Glutamine synthetase of <i>Mycobacterium tuberculosis</i>Madhulata Kumari, Naidu Subbarao
Future Medicinal Chemistry|September 30, 2022
Development of a deep learning-based quantitative structure-activity relationship model to identify potential inhibitors against the 3C-like protease of SARS-CoV-2Madhulata Kumari, Naidu Subbarao
Indian Journal of Ophthalmology|August 22, 2018
Magnetic ocular prosthesis for shallow contracted socketRamesh Murthy, Madhulata Umesh
Future Medicinal Chemistry|May 30, 2023
Convolutional neural network-based quantitative structure-activity relationship and fingerprint analysis against inhibitors of anthrax lethal factorMadhulata Kumari, Naidu Subbarao
International Journal of Computational Biology and Drug Design|April 15, 2015
In silico prediction of anti-malarial hit molecules based on machine learning methodsMadhulata Kumari, Subhash Chandra
Journal of Biomolecular Structure & Dynamics|April 7, 2021
Identification of novel multitarget antitubercular inhibitors against mycobacterial peptidoglycan biosynthetic Mur enzymes by structure-based virtual screeningMadhulata Kumari, Naidu Subbarao
Future Medicinal Chemistry|April 8, 2022
A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitorsMadhulata Kumari, Naidu Subbarao
Journal of Biomolecular Structure & Dynamics|October 18, 2021
Exploring the interaction mechanism between potential inhibitor and multi-target Mur enzymes of mycobacterium tuberculosis using molecular docking, molecular dynamics simulation, principal component analysis, free energy landscape, dynamic cross-correlation matrices, vector movements, and binding free energy calculationMadhulata Kumari, Ruhar Singh, Naidu Subbarao
The American Journal of the Medical Sciences|August 16, 2003
An unusual case of cholecystitisMadhulata Reddy, Pavan V Reddy
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Computers in Biology and Medicine|March 15, 2021
Deep learning model for virtual screening of novel 3C-like protease enzyme inhibitors against SARS coronavirus diseasesMadhulata Kumari, Naidu Subbarao
Journal of Biomolecular Structure & Dynamics|November 23, 2019
Virtual screening to identify novel potential inhibitors for Glutamine synthetase of <i>Mycobacterium tuberculosis</i>Madhulata Kumari, Naidu Subbarao
Future Medicinal Chemistry|September 30, 2022
Development of a deep learning-based quantitative structure-activity relationship model to identify potential inhibitors against the 3C-like protease of SARS-CoV-2Madhulata Kumari, Naidu Subbarao
Indian Journal of Ophthalmology|August 22, 2018
Magnetic ocular prosthesis for shallow contracted socketRamesh Murthy, Madhulata Umesh
Future Medicinal Chemistry|May 30, 2023
Convolutional neural network-based quantitative structure-activity relationship and fingerprint analysis against inhibitors of anthrax lethal factorMadhulata Kumari, Naidu Subbarao
International Journal of Computational Biology and Drug Design|April 15, 2015
In silico prediction of anti-malarial hit molecules based on machine learning methodsMadhulata Kumari, Subhash Chandra
Journal of Biomolecular Structure & Dynamics|April 7, 2021
Identification of novel multitarget antitubercular inhibitors against mycobacterial peptidoglycan biosynthetic Mur enzymes by structure-based virtual screeningMadhulata Kumari, Naidu Subbarao
Future Medicinal Chemistry|April 8, 2022
A hybrid resampling algorithms SMOTE and ENN based deep learning models for identification of Marburg virus inhibitorsMadhulata Kumari, Naidu Subbarao
Journal of Biomolecular Structure & Dynamics|October 18, 2021
Exploring the interaction mechanism between potential inhibitor and multi-target Mur enzymes of mycobacterium tuberculosis using molecular docking, molecular dynamics simulation, principal component analysis, free energy landscape, dynamic cross-correlation matrices, vector movements, and binding free energy calculationMadhulata Kumari, Ruhar Singh, Naidu Subbarao
The American Journal of the Medical Sciences|August 16, 2003
An unusual case of cholecystitisMadhulata Reddy, Pavan V Reddy
Pageof 3