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Subhash Mohan Agarwal

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Biochemical and Biophysical Research Communications|October 19, 2005
Evolutionary rate variation in eukaryotic lineage specific human intronless proteinsSubhash Mohan Agarwal
Molecular Diversity|August 4, 2021
EGFRisopred: a machine learning-based classification model for identifying isoform-specific inhibitors against EGFR and HER2Ravi Saini, Subhash Mohan Agarwal
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 Agarwal
Journal 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 Agarwal
Biochemical and Biophysical Research Communications|April 27, 2005
Comparative analysis of human intronless proteinsSubhash Mohan Agarwal, Jyotsana Gupta
BMB Reports|June 30, 2009
Human intronless disease associated genes are slowly evolvingSubhash Mohan Agarwal, Prashant K Srivastava
Molecular Diversity|January 20, 2023
Recent advances in the area of plant-based anti-cancer drug discovery using computational approachesAgneesh Pratim Das, Subhash Mohan Agarwal
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 Agarwal
Chemical Biology & Drug Design|February 28, 2019
QSAR of clinically important EGFR mutant L858R/T790M pyridinylimidazole inhibitorsShehnaz Fatima, Divyani Pal, Subhash Mohan Agarwal
Chemical Biology & Drug Design|May 30, 2018
Insight into structural requirements of antiamoebic flavonoids: 3D-QSAR and G-QSAR studiesShehnaz Fatima, Payal Gupta, Subhash Mohan Agarwal
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
Biochemical and Biophysical Research Communications|October 19, 2005
Evolutionary rate variation in eukaryotic lineage specific human intronless proteinsSubhash Mohan Agarwal
Molecular Diversity|August 4, 2021
EGFRisopred: a machine learning-based classification model for identifying isoform-specific inhibitors against EGFR and HER2Ravi Saini, Subhash Mohan Agarwal
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 Agarwal
Journal 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 Agarwal
Biochemical and Biophysical Research Communications|April 27, 2005
Comparative analysis of human intronless proteinsSubhash Mohan Agarwal, Jyotsana Gupta
BMB Reports|June 30, 2009
Human intronless disease associated genes are slowly evolvingSubhash Mohan Agarwal, Prashant K Srivastava
Molecular Diversity|January 20, 2023
Recent advances in the area of plant-based anti-cancer drug discovery using computational approachesAgneesh Pratim Das, Subhash Mohan Agarwal
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 Agarwal
Chemical Biology & Drug Design|February 28, 2019
QSAR of clinically important EGFR mutant L858R/T790M pyridinylimidazole inhibitorsShehnaz Fatima, Divyani Pal, Subhash Mohan Agarwal
Chemical Biology & Drug Design|May 30, 2018
Insight into structural requirements of antiamoebic flavonoids: 3D-QSAR and G-QSAR studiesShehnaz Fatima, Payal Gupta, Subhash Mohan Agarwal
Pageof 3