Virtual screening of a natural compound library at orthosteric and allosteric binding sites of the neurotensin receptor.


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
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

Pagination

4494-4506

Auteurs

M Rejwan Ali (M)

Department of Physics, St John's University , Queens , NY , USA.

Mostafa Sadoqi (M)

Department of Physics, St John's University , Queens , NY , USA.
Department of Pharmaceutical Sciences, St John's University , Queens , NY , USA.

Allal Boutajangout (A)

Department of Neurology and Neuroscience & Physiology and Psychiatry, New York University Langone Medical Center , New York , NY , USA.

Mihaly Mezei (M)

Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai , New York , NY , USA.

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Classifications MeSH