Effects of Single Nucleotide Polymorphisms on the Binding of Afatinib to EGFR: A Potential Patient Stratification Factor Revealed by Modeling Studies.


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:
28 01 2019
Historique:
pubmed: 28 11 2018
medline: 4 12 2019
entrez: 28 11 2018
Statut: ppublish

Résumé

The anticancer drug afatinib has been found to be more effective at inhibiting the oncogenic EGFR mutant exon 19 deletion (19del) over the oncogenic EGFR mutant L858R. The underlying mechanism has been hypothesized to result from differences in structural constraints introduced by the mutations and stabilizing interactions afforded by a buried water molecule in 19del (Kannan, S.; et al. Sci. Rep. 2017, 7, 1540). The COSMIC cancer database is mined for EGFR sequences to discover that several mutations in the form of Single nucleotide polymorphisms (SNPs) line this hydration cavity. In this work, the effects of these SNPs on the affinity of afatinib for EGFR

Identifiants

pubmed: 30481018
doi: 10.1021/acs.jcim.8b00491
doi:

Substances chimiques

Afatinib 41UD74L59M
ErbB Receptors EC 2.7.10.1

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

309-315

Auteurs

Srinivasaraghavan Kannan (S)

Bioinformatics Institute (A*STAR) , 30 Biopolis Street, 07-01 matrix , Singapore 138671 , Singapore.

Daniel Shao-Weng Tan (DS)

Division of Medical Oncology , National Cancer Centre Singapore , 11 Hospital Drive , Singapore 169610 , Singapore.
Cancer Therapeutics Research Laboratory , National Cancer Centre Singapore , 11 Hospital Drive , Singapore 169610 , Singapore.
Cancer Stem Cell Biology , Genome Institute of Singapore , 60 Biopolis Street, 02-01 , Singapore 138672 , Singapore.

Chandra Shekhar Verma (CS)

Bioinformatics Institute (A*STAR) , 30 Biopolis Street, 07-01 matrix , Singapore 138671 , Singapore.
School of Biological Sciences , Nanyang Technological University , 60 Nanyang Drive , Singapore 637551 , Singapore.
Department of Biological Sciences , National University of Singapore , 14 Science Drive 4 , Singapore 117543 , Singapore.

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Classifications MeSH