Virtual screening of a natural compound library at orthosteric and allosteric binding sites of the neurotensin receptor.
FTmap server
G-protein-coupled receptor
SIMULAID
allosteric sites
molecular dynamics
natural compound library
neurotensin receptor
virtual screening
Journal
Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176
Informations de publication
Date de publication:
10 2019
10 2019
Historique:
pubmed:
28
11
2018
medline:
28
7
2020
entrez:
28
11
2018
Statut:
ppublish
Résumé
Molecular dynamics (MD) simulation using the AMBER force field has been performed on the neurotensin (NT) receptor, a class A type G-protein-coupled receptor in its activated conformation co-crystallized with the non-peptide agonists. For structure-based hit molecule identification via natural chemical compound library, orthosteric sites on NT receptor have been mapped by docking using AutoDock4.0 and Vina with the known agonists and antagonists SR48692, SR142948, ML301 and ML314 of the receptor. Furthermore, clustering analysis on the MD trajectories by SIMULAID has been performed to filter receptor conformations for the allosteric binders from the Otava natural compound library. Comparative mappings of contrasting binding region patterns have been done between the crystal structure orthosteric sites as well as the binding regions in the SIMULAID-based cluster center conformations from MD trajectories with the FTmap server using the small organic molecule fragments as the probes. The distinct binding region in the cluster-based conformations in the extracellular region of the receptor has been identified for targeted docking by Otava natural chemical compound library using AutoDock4.0 and Vina docking suites to obtain putative allosteric binders. A group of compounds from the Otava library has been identified as showing high free energy in both AutoDock4.0 and Vina docking suites. Biophysical assessments on the natural compound computational hit molecules will be done to identify lead structures from the hit molecules. Communicated by Ramaswamy H. Sarma.
Identifiants
pubmed: 30479178
doi: 10.1080/07391102.2018.1552200
doi:
Substances chimiques
Biological Products
0
Receptors, Neurotensin
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM