Blind Pose Prediction, Scoring, and Affinity Ranking of the CSAR 2014 Dataset - Inserm - Institut national de la santé et de la recherche médicale Accéder directement au contenu
Article Dans Une Revue Journal of Chemical Information and Modeling Année : 2016

Blind Pose Prediction, Scoring, and Affinity Ranking of the CSAR 2014 Dataset

Résumé

The 2014 CSAR Benchmark Exercise was focused on three protein targets: coagulation factor Xa, spleen tyrosine kinase, and bacterial tRNA methyltransferase. Our protocol involved a preliminary analysis of the structural information available in the Protein Data Bank for the protein targets, which allowed the identification of the most appropriate docking software and scoring functions to be used for the rescoring of several docking conformations datasets, as well as for pose prediction and affinity ranking. The two key points of this study were (i) the prior evaluation of molecular modeling tools that are most adapted for each target and (ii) the increased search efficiency during the docking process to better explore the conformational space of big and flexible ligands.
Fichier principal
Vignette du fichier
acs.jcim.5b00337.pdf (3.9 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

inserm-02193792 , version 1 (24-07-2019)

Identifiants

Citer

Virginie y Martiny, François Martz, Edithe Selwa, Bogdan Iorga. Blind Pose Prediction, Scoring, and Affinity Ranking of the CSAR 2014 Dataset. Journal of Chemical Information and Modeling, 2016, 56 (6), pp.996-1003. ⟨10.1021/acs.jcim.5b00337⟩. ⟨inserm-02193792⟩
36 Consultations
47 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More