Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of computer-aided molecular design, 2017 - Springer
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided …, 2017 - search.proquest.com
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of computer-aided …, 2017 - pubmed.ncbi.nlm.nih.gov
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided Molecular …, 2017 - hal.science
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization.

M Kadukova, S Grudinin - Journal of Computer-Aided …, 2017 - search.ebscohost.com
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided Molecular …, 2017 - inria.hal.science
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided …, 2017 - ui.adsabs.harvard.edu
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided …, 2017 - archivesic.ccsd.cnrs.fr
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization

M Kadukova, S Grudinin - Journal of Computer-Aided Molecular Design, 2017 - elibrary.ru
Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from
structural databases using convex optimization КОРЗИНА ПОИСК НАВИГАТОР СЕССИЯ …

Convex-PL: a novel knowledge-based potential for protein-ligand interactions deduced from structural databases using convex optimization.

M Kadukova, S Grudinin - Journal of Computer-aided Molecular …, 2017 - europepmc.org
We present a novel optimization approach to train a free-shape distance-dependent protein-
ligand scoring function called Convex-PL. We do not impose any functional form of the …