Subhash Mohan Agarwal

11PUBLICATIONS
0CO-AUTHORS
Cheminformatics and quantitative structure-activity relationshipsBiologically active moleculesCancer geneticsMolecular targets
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Publications (11)

|Feb 05, 2024
Machine Learning, Molecular Docking, and Dynamics-Based Computational Identification of Potential Inhibitors against Lung Cancer.

Agneesh Pratim Das, Puniti Mathur, Subhash M Agarwal

|Jul 29, 2023
A systematic pipeline of protein structure selection for computer-aided drug discovery: A case study on T790M/L858R mutant EGFR structures.

Agneesh Pratim Das, Prajwal Nandekar, Puniti Mathur

|Jan 20, 2023
Recent advances in the area of plant-based anti-cancer drug discovery using computational approaches.

Agneesh Pratim Das, Subhash Mohan Agarwal

|Oct 04, 2022
Elucidation of Increased Cervical Cancer Risk Due to Polymorphisms in XRCC1 (R399Q and R194W), ERCC5 (D1104H), and NQO1 (P187S).

Agneesh Pratim Das, Sandeep Saini, Shrishty Tyagi

|Jun 27, 2022
Computational identification of natural product inhibitors against EGFR double mutant (T790M/L858R) by integrating ADMET, machine learning, molecular docking and a dynamics approach.

Subhash M Agarwal, Prajwal Nandekar, Ravi Saini

|Aug 04, 2021
EGFRisopred: a machine learning-based classification model for identifying isoform-specific inhibitors against EGFR and HER2.

Ravi Saini, Subhash Mohan Agarwal

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