Molecular dynamics, MM/PBSA and in vitro validation of a novel quinazoline-based EGFR tyrosine kinase inhibitor identified using structure-based in silico screening.


Journal

Journal of molecular graphics & modelling
ISSN: 1873-4243
Titre abrégé: J Mol Graph Model
Pays: United States
ID NLM: 9716237

Informations de publication

Date de publication:
09 2020
Historique:
received: 18 02 2020
revised: 06 05 2020
accepted: 08 05 2020
pubmed: 14 6 2020
medline: 22 6 2021
entrez: 14 6 2020
Statut: ppublish

Résumé

EGFR-TK has been a target strongly associated with the development of NSCLCs. A structure-based virtual screening campaign was launched against EGFR-TK by virtual screening a 3D library of 167 commercially available small molecules downloaded from ChemBridge Corporation. The virtual screen identified 12 virtual hit molecules, which were biologically evaluated against an EGFR-TK inhibitor-sensitive NSCLC cell line, A549. A quinazoline-based molecule 1, was most active and displayed ∼58% cytotoxicity at 20 μM single dose. The mode of cell death suggests molecule 1 induced apoptosis, which is characteristic of EGFR-TK pathway inhibition. A 50 ns MD simulation was conducted on three different systems: free EGFR-TK, molecule 1 complexed to EGFR-TK, and the positive control, lapatinib, complexed to EGFR-TK. The MD simulations showed increase in stabilisation of the EGFR-TK structure for the complexed systems, i.e., lower RMSDs and RMSFs for complexed EGFR-TK structures compared to the free EGFR-TK system. The binding affinities were estimated using MM/PBSA in the last 10 ns of the MD simulation that revealed comparable binding free energies between molecule 1 and lapatinib, ΔG

Identifiants

pubmed: 32534372
pii: S1093-3263(20)30428-9
doi: 10.1016/j.jmgm.2020.107639
pii:
doi:

Substances chimiques

ErbB Receptors EC 2.7.10.1
Protein Kinase Inhibitors 0
Quinazolines 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

107639

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Auteurs

Narittira Ornnork (N)

Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, 10210, Thailand.

Duangnapa Kiriwan (D)

Genetic Engineering Interdisciplinary Program, Graduate School, Kasetsart University, Bangkok, 10900, Thailand.

Kriengsak Lirdprapamongkol (K)

Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, 10210, Thailand.

Kiattawee Choowongkomon (K)

Department of Biochemistry, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.

Jisnuson Svasti (J)

Laboratory of Biochemistry, Chulabhorn Research Institute, Bangkok, 10210, Thailand.

Chatchakorn Eurtivong (C)

Program in Chemical Sciences, Chulabhorn Graduate Institute, Chulabhorn Royal Academy, Bangkok, 10210, Thailand. Electronic address: chatchakorn@cgi.ac.th.

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Classifications MeSH