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Chemical Biology & Drug Design|October 15, 2020
TMLRpred: A machine learning classification model to distinguish reversible EGFR double mutant inhibitorsRavi Saini, Shehnaz Fatima, Subhash Mohan AgarwalPhytochemical Analysis : PCA|April 19, 2018
Pharmacokinetic profiling of anticancer phytocompounds using computational approachAshish Sharma, Shilpa Sharma, Mansi Gupta, et al.Journal of Receptor and Signal Transduction Research|September 12, 2018
Unraveling structural requirements of amino-pyrimidine T790M/L858R double mutant EGFR inhibitors: 2D and 3D QSAR studyShehnaz Fatima, Subhash Mohan AgarwalJournal of Receptor and Signal Transduction Research|September 21, 2019
Exploring structural features of EGFR-HER2 dual inhibitors as anti-cancer agents using G-QSAR approachShehnaz Fatima, Subhash Mohan AgarwalChemical Biology & Drug Design|May 30, 2018
Insight into structural requirements of antiamoebic flavonoids: 3D-QSAR and G-QSAR studiesShehnaz Fatima, Payal Gupta, Subhash Mohan AgarwalChemical Biology & Drug Design|February 28, 2019
QSAR of clinically important EGFR mutant L858R/T790M pyridinylimidazole inhibitorsShehnaz Fatima, Divyani Pal, Subhash Mohan AgarwalMolecular Diversity|August 4, 2021
EGFRisopred: a machine learning-based classification model for identifying isoform-specific inhibitors against EGFR and HER2Ravi Saini, Subhash Mohan AgarwalCurrent Cancer Drug Targets|April 1, 2017
Insight into Discovery of Next Generation Reversible TMLR Inhibitors Targeting EGFR Activating and Drug Resistant T790M MutantsSubhash Mohan Agarwal, Divyani Pal, Mansi Gupta, et al.Biochemical and Biophysical Research Communications|October 19, 2005
Evolutionary rate variation in eukaryotic lineage specific human intronless proteinsSubhash Mohan AgarwalBiochemical and Biophysical Research Communications|April 27, 2005
Comparative analysis of human intronless proteinsSubhash Mohan Agarwal, Jyotsana GuptaPageof 7