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Nagasuma Chandra

Showing results (11-20 of 136) with videos related to

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Journal of Structural Biology|October 24, 2007
PocketDepth: a new depth based algorithm for identification of ligand binding sites in proteinsYeturu Kalidas, Nagasuma Chandra
Expert Opinion on Drug Discovery|November 13, 2012
Network approaches to drug discoveryNagasuma Chandra, Jyothi Padiadpu
BMC Microbiology|December 25, 2008
Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistanceKarthik Raman, Nagasuma Chandra
Glycobiology|September 18, 2013
Common recognition principles across diverse sequence and structural families of sialic acid binding proteinsRaghu Bhagavat, Nagasuma Chandra
Scientific Reports|September 16, 2014
Characterizing the pocketome of Mycobacterium tuberculosis and application in rationalizing polypharmacological target selectionPraveen Anand, Nagasuma Chandra
Plos Computational Biology|February 24, 2022
SiteMotif: A graph-based algorithm for deriving structural motifs in Protein Ligand binding sitesSanthosh Sankar, Nagasuma Chandra
Current Opinion in Structural Biology|September 15, 2020
Editorial overview: Biophysical and computational methodsNagasuma Chandra, Gautam I Menon
Biochemical and Biophysical Research Communications|September 3, 2003
Determinants of histamine recognition: implications for the design of antihistaminesV Badireenath Konkimalla, Nagasuma Chandra
Current Opinion in Structural Biology|December 1, 2016
Editorial overview: Carbohydrate-protein interactions and glycosylation: integrating structural biology, informatics and systems modelling to understand glycan structure and glycan-protein interactionsHarry J Gilbert, Nagasuma Chandra
Scientific Reports|July 30, 2013
Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infectionAwanti Sambarey, Karyala Prashanthi, Nagasuma Chandra
Pageof 14

Showing results (11-20 of 136) with videos related to

Sort By:
Pageof 14
Journal of Structural Biology|October 24, 2007
PocketDepth: a new depth based algorithm for identification of ligand binding sites in proteinsYeturu Kalidas, Nagasuma Chandra
Expert Opinion on Drug Discovery|November 13, 2012
Network approaches to drug discoveryNagasuma Chandra, Jyothi Padiadpu
BMC Microbiology|December 25, 2008
Mycobacterium tuberculosis interactome analysis unravels potential pathways to drug resistanceKarthik Raman, Nagasuma Chandra
Glycobiology|September 18, 2013
Common recognition principles across diverse sequence and structural families of sialic acid binding proteinsRaghu Bhagavat, Nagasuma Chandra
Scientific Reports|September 16, 2014
Characterizing the pocketome of Mycobacterium tuberculosis and application in rationalizing polypharmacological target selectionPraveen Anand, Nagasuma Chandra
Plos Computational Biology|February 24, 2022
SiteMotif: A graph-based algorithm for deriving structural motifs in Protein Ligand binding sitesSanthosh Sankar, Nagasuma Chandra
Current Opinion in Structural Biology|September 15, 2020
Editorial overview: Biophysical and computational methodsNagasuma Chandra, Gautam I Menon
Biochemical and Biophysical Research Communications|September 3, 2003
Determinants of histamine recognition: implications for the design of antihistaminesV Badireenath Konkimalla, Nagasuma Chandra
Current Opinion in Structural Biology|December 1, 2016
Editorial overview: Carbohydrate-protein interactions and glycosylation: integrating structural biology, informatics and systems modelling to understand glycan structure and glycan-protein interactionsHarry J Gilbert, Nagasuma Chandra
Scientific Reports|July 30, 2013
Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infectionAwanti Sambarey, Karyala Prashanthi, Nagasuma Chandra
Pageof 14