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Expert Opinion on Drug Discovery
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November 28, 2019
Emerging opportunities of exploiting mycobacterial electron transport chain pathway for drug-resistant tuberculosis drug discovery
Kuldeep K Roy, Mushtaq Ahmad Wani
Molecular Diversity
|
November 11, 2021
Targeting the cytochrome bc<sub>1</sub> complex for drug development in M. tuberculosis: review
Mushtaq Ahmad Wani, Devendra Kumar Dhaked
Molecular Diversity
|
June 10, 2021
Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents
Mushtaq Ahmad Wani, Kuldeep K Roy
Journal of Molecular Graphics & Modelling
|
January 24, 2025
Computer-aided drug design approaches for the identification of potent inhibitors targeting elongation factor G of Mycobacterium tuberculosis
Mushtaq Ahmad Wani, Aritra Banerjee, Prabha Garg
Computers in Biology and Medicine
|
June 5, 2025
Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors
Mushtaq Ahmad Wani, Pooja Kumari, Amit Nargotra
Medical & Biological Engineering & Computing
|
October 11, 2021
Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides
Mushtaq Ahmad Wani, Prabha Garg, Kuldeep K Roy
Progress in Biophysics and Molecular Biology
|
April 27, 2023
An update on ATP synthase inhibitors: A unique target for drug development in M. tuberculosis
Lakshmi Mounika Kelam, Mushtaq Ahmad Wani, Devendra K Dhaked
Trends in Biochemical Sciences
|
January 9, 2024
Unlocking translational machinery for antitubercular drug development
Navneet Kumar, Mushtaq Ahmad Wani, Chaaya Iyengar Raje, et al.
ACS Medicinal Chemistry Letters
|
November 20, 2024
Predictive Modeling and Drug Repurposing for Type-II Diabetes
Nitin Wankhade, Anju Sharma, Mushtaq Ahmad Wani, et al.
International Journal of Biological Macromolecules
|
August 7, 2025
Integrating in silico and in vitro approaches for identifying potential TNF-α inhibitors
Manas Ranjan Barik, Mushtaq Ahmad Wani, Sweta, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 19) with videos related to
Sort By:
Page
of 2
Expert Opinion on Drug Discovery
|
November 28, 2019
Emerging opportunities of exploiting mycobacterial electron transport chain pathway for drug-resistant tuberculosis drug discovery
Kuldeep K Roy, Mushtaq Ahmad Wani
Molecular Diversity
|
November 11, 2021
Targeting the cytochrome bc<sub>1</sub> complex for drug development in M. tuberculosis: review
Mushtaq Ahmad Wani, Devendra Kumar Dhaked
Molecular Diversity
|
June 10, 2021
Development and validation of consensus machine learning-based models for the prediction of novel small molecules as potential anti-tubercular agents
Mushtaq Ahmad Wani, Kuldeep K Roy
Journal of Molecular Graphics & Modelling
|
January 24, 2025
Computer-aided drug design approaches for the identification of potent inhibitors targeting elongation factor G of Mycobacterium tuberculosis
Mushtaq Ahmad Wani, Aritra Banerjee, Prabha Garg
Computers in Biology and Medicine
|
June 5, 2025
Machine learning framework coupled with CADD for predicting sphingosine kinase 1 inhibitors
Mushtaq Ahmad Wani, Pooja Kumari, Amit Nargotra
Medical & Biological Engineering & Computing
|
October 11, 2021
Machine learning-enabled predictive modeling to precisely identify the antimicrobial peptides
Mushtaq Ahmad Wani, Prabha Garg, Kuldeep K Roy
Progress in Biophysics and Molecular Biology
|
April 27, 2023
An update on ATP synthase inhibitors: A unique target for drug development in M. tuberculosis
Lakshmi Mounika Kelam, Mushtaq Ahmad Wani, Devendra K Dhaked
Trends in Biochemical Sciences
|
January 9, 2024
Unlocking translational machinery for antitubercular drug development
Navneet Kumar, Mushtaq Ahmad Wani, Chaaya Iyengar Raje, et al.
ACS Medicinal Chemistry Letters
|
November 20, 2024
Predictive Modeling and Drug Repurposing for Type-II Diabetes
Nitin Wankhade, Anju Sharma, Mushtaq Ahmad Wani, et al.
International Journal of Biological Macromolecules
|
August 7, 2025
Integrating in silico and in vitro approaches for identifying potential TNF-α inhibitors
Manas Ranjan Barik, Mushtaq Ahmad Wani, Sweta, et al.
Page
of 2