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Journal of Computer-Aided Molecular Design
|
May 10, 2012
Surflex-Dock: Docking benchmarks and real-world application
Russell Spitzer, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
June 24, 2018
Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose
Ann E Cleves, Ajay N Jain
Journal of Chemical Information and Modeling
|
September 6, 2008
Accurate and interpretable computational modeling of chemical mutagenicity
James J Langham, Ajay N Jain
Bioinformatics (Oxford, England)
|
July 16, 2002
Deriving quantitative conclusions from microarray expression data
Adam B Olshen, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
December 13, 2007
Effects of inductive bias on computational evaluations of ligand-based modeling and on drug discovery
Ann E Cleves, Ajay N Jain
Journal of Medicinal Chemistry
|
May 12, 2006
Robust ligand-based modeling of the biological targets of known drugs
Ann E Cleves, Ajay N Jain
Journal of Chemical Information and Modeling
|
April 10, 2020
Structure- and Ligand-Based Virtual Screening on DUD-E<sup>+</sup>: Performance Dependence on Approximations to the Binding Pocket
Ann E Cleves, Ajay N Jain
Journal of Medicinal Chemistry
|
September 29, 2006
Parameter estimation for scoring protein-ligand interactions using negative training data
Tuan A Pham, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
November 28, 2014
Chemical and protein structural basis for biological crosstalk between PPARα and COX enzymes
Ann E Cleves, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
May 6, 2015
Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock
Ann E Cleves, Ajay N Jain
Page
of 7
Search research articles
Search
Showing results (11-20 of 64) with videos related to
Sort By:
Page
of 7
Journal of Computer-Aided Molecular Design
|
May 10, 2012
Surflex-Dock: Docking benchmarks and real-world application
Russell Spitzer, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
June 24, 2018
Quantitative surface field analysis: learning causal models to predict ligand binding affinity and pose
Ann E Cleves, Ajay N Jain
Journal of Chemical Information and Modeling
|
September 6, 2008
Accurate and interpretable computational modeling of chemical mutagenicity
James J Langham, Ajay N Jain
Bioinformatics (Oxford, England)
|
July 16, 2002
Deriving quantitative conclusions from microarray expression data
Adam B Olshen, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
December 13, 2007
Effects of inductive bias on computational evaluations of ligand-based modeling and on drug discovery
Ann E Cleves, Ajay N Jain
Journal of Medicinal Chemistry
|
May 12, 2006
Robust ligand-based modeling of the biological targets of known drugs
Ann E Cleves, Ajay N Jain
Journal of Chemical Information and Modeling
|
April 10, 2020
Structure- and Ligand-Based Virtual Screening on DUD-E<sup>+</sup>: Performance Dependence on Approximations to the Binding Pocket
Ann E Cleves, Ajay N Jain
Journal of Medicinal Chemistry
|
September 29, 2006
Parameter estimation for scoring protein-ligand interactions using negative training data
Tuan A Pham, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
November 28, 2014
Chemical and protein structural basis for biological crosstalk between PPARα and COX enzymes
Ann E Cleves, Ajay N Jain
Journal of Computer-Aided Molecular Design
|
May 6, 2015
Knowledge-guided docking: accurate prospective prediction of bound configurations of novel ligands using Surflex-Dock
Ann E Cleves, Ajay N Jain
Page
of 7