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

por Agarwal, Subhash M., Nandekar, Prajwal, Saini, Ravi
Publicado 2022

Meta-Analysis of 49 SNPs Covering 25,446 Cases and 41,106 Controls Identifies Polymorphisms in Hormone Regulation and DNA Repair Genes Associated with Increased Endometrial Cancer...

por Das, Agneesh Pratim, Chaudhary, Nisha, Tyagi, Shrishty, Agarwal, Subhash M.
Publicado 2023

CCDB: a curated database of genes involved in cervix cancer

por Agarwal, Subhash M., Raghav, Dhwani, Singh, Harinder, Raghava, G.P.S.
Publicado 2011

NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database

por Mangal, Manu, Sagar, Parul, Singh, Harinder, Raghava, Gajendra P. S., Agarwal, Subhash M.
Publicado 2013

QSAR based model for discriminating EGFR inhibitors and non-inhibitors using Random forest

por Singh, Harinder, Singh, Sandeep, Singla, Deepak, Agarwal, Subhash M, Raghava, Gajendra P S
Publicado 2015

QSAR-Based Models for Designing Quinazoline/Imidazothiazoles/Pyrazolopyrimidines Based Inhibitors against Wild and Mutant EGFR

por Chauhan, Jagat Singh, Dhanda, Sandeep Kumar, Singla, Deepak, Agarwal, Subhash M., Raghava, Gajendra P. S.
Publicado 2014

The Dynamics of Stress p53-Mdm2 Network Regulated by p300 and HDAC1

por Arora, Akshit, Gera, Saurav, Maheshwari, Tanuj, Raghav, Dhwani, Alam, Md. Jahoor, Singh, R. K. Brojen, Agarwal, Subhash M.
Publicado 2013