<i>In-silico </i>based discovery of potential Keap1 inhibitors using the strategies of pharmacophore screening, molecular docking, and MD simulation studies

This research proposes three lead molecules as potential Keap1 inhibitors based on high throughput screening, docking, and MD simulation studies. These hit molecules can be used for further design and development of Keap1 inhibitors. This research provides the preliminary data for discovering novel Keap1 inhibitors. It opens new avenues for medicinal chemists to explore antioxidant-stimulating molecules targeting the Keap1-Nrf2 pathway.

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Publication Details

Journal
Bioimpacts
Published
2024-09-14
DOI
https://doi.org/10.34172/bi.30335
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36
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article

In-silico based discovery of potential Keap1 inhibitors using the strategies of pharmacophore screening, molecular docking, and MD simulation studies

Rohit Pal, Rajesh B. Patil, Prasad Sanjay Dhiwar, Ekta Singh et al.
1 citations
Bioimpacts
Computational Drug Discovery Methods
0.36
article

In-silico based discovery of potential Keap1 inhibitors using the strategies of pharmacophore screening, molecular docking, and MD simulation studies

Rohit Pal, Rajesh B. Patil, Prasad Sanjay Dhiwar, Ekta Singh, Gurubasavaraja Swamy Purawarga Matada
article en
1 citations

Abstract

This research proposes three lead molecules as potential Keap1 inhibitors based on high throughput screening, docking, and MD simulation studies. These hit molecules can be used for further design and development of Keap1 inhibitors. This research provides the preliminary data for discovering novel Keap1 inhibitors. It opens new avenues for medicinal chemists to explore antioxidant-stimulating molecules targeting the Keap1-Nrf2 pathway.

BioimpactsVol. 15
Aditya Birla (India) (IN), Sinhgad Dental College and Hospital (IN)
Openalex Percentile: Top 34%
Computational Drug Discovery Methods
0.36
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