Boosted neural networks scoring functions for accurate ligand docking and ranking
HM Ashtawy, NR Mahapatra - Journal of Bioinformatics and …, 2018 - World Scientific
Predicting the native poses of ligands correctly is one of the most important steps towards
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
Boosted neural networks scoring functions for accurate ligand docking and ranking
HM Ashtawy, NR Mahapatra - … of bioinformatics and …, 2018 - pubmed.ncbi.nlm.nih.gov
Predicting the native poses of ligands correctly is one of the most important steps towards
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
Boosted neural networks scoring functions for accurate ligand docking and ranking.
HM Ashtawy, NR Mahapatra - Journal of Bioinformatics and …, 2018 - europepmc.org
Predicting the native poses of ligands correctly is one of the most important steps towards
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
Boosted neural networks scoring functions for accurate ligand docking and ranking.
HM Ashtawy, NR Mahapatra - Journal of Bioinformatics & …, 2018 - search.ebscohost.com
Predicting the native poses of ligands correctly is one of the most important steps towards
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …
successful structure-based drug design. Binding affinities (BAs) estimated by traditional …