Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - Bioinformatics, 2009 - academic.oup.com
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation.

I Wallach, RH Lilien - Bioinformatics, 2009 - search.ebscohost.com
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - Bioinformatics (Oxford, England), 2009 - pubmed.ncbi.nlm.nih.gov
Motivation The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

[PDF][PDF] Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - 2009 - Citeseer
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

[PDF][PDF] Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - 2009 - pdfs.semanticscholar.org
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation.

I Wallach, RH Lilien - Bioinformatics (Oxford, England), 2009 - europepmc.org
Results Our algorithm demonstrates the ability to accurately cluster similar sub-cavities and
to predict binding patterns across a diverse set of protein-ligand complexes. When applied …

Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - Bioinformatics, 2009 - dl.acm.org
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

[PDF][PDF] Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - 2009 - scienceopen.com
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

[HTML][HTML] Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - Bioinformatics, 2009 - ncbi.nlm.nih.gov
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …

[PDF][PDF] Prediction of sub-cavity binding preferences using an adaptive physicochemical structure representation

I Wallach, RH Lilien - 2009 - Citeseer
Motivation: The ability to predict binding profiles for an arbitrary protein can significantly
improve the areas of drug discovery, lead optimization and protein function prediction. At …