De Novo Prediction of Binders and Nonbinders for T4 Lysozyme by gREST Simulations.
Journal
Journal of chemical information and modeling
ISSN: 1549-960X
Titre abrégé: J Chem Inf Model
Pays: United States
ID NLM: 101230060
Informations de publication
Date de publication:
23 09 2019
23 09 2019
Historique:
pubmed:
8
8
2019
medline:
17
9
2020
entrez:
8
8
2019
Statut:
ppublish
Résumé
Molecular recognition underpins all specific protein-ligand interactions and is essential for biomolecular functions. The prediction of canonical binding poses and distinguishing binders from nonbinders are much sought after goals. Here, we apply the generalized replica exchange with solute tempering method, gREST, combined with a flat-bottom potential to evaluate binder and nonbinder interactions with a T4 lysozyme Leu99Ala mutant. The buried hydrophobic cavity and possibility of coupled conformational changes in this protein make binding predictions difficult. The present gREST simulations, enabling enhanced flexibilities of the ligand and protein residues near the binding site, sample bindings in multiple poses, and correct portrayal of X-ray structures. The free-energy profiles of binders (benzene, ethylbenzene, and
Identifiants
pubmed: 31390205
doi: 10.1021/acs.jcim.9b00416
doi:
Substances chimiques
Benzene Derivatives
0
Muramidase
EC 3.2.1.17
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM