Understanding protein structural changes for oncogenic missense variants.

Oncogenic missense variants Protein structure prediction Structural classification

Journal

Heliyon
ISSN: 2405-8440
Titre abrégé: Heliyon
Pays: England
ID NLM: 101672560

Informations de publication

Date de publication:
Jan 2021
Historique:
received: 14 06 2020
revised: 20 08 2020
accepted: 15 01 2021
entrez: 8 2 2021
pubmed: 9 2 2021
medline: 9 2 2021
Statut: epublish

Résumé

Understanding and predicting the changes of protein structure and function upon mutation and their relationship to human health is a critical element to translate the genomic revolution into actionable interventions. Therefore, it is pertinent to explore how mutations result in structural changes leading to pathogenic proteins, but due to the protein structural knowledge gap, experimental approaches are lacking. Protein structure prediction methods, such as I-TASSER, have made it possible to predict the structure of a given amino acid sequence, thus opening a new way to explore protein structure changes upon mutations when experimental information is not available. Using known mutations from the Catalogue of Somatic Mutation in Cancer (COSMIC) and ClinVar databases, we compare predicted structure-derived properties from wild type (WT) and mutated proteins and find differences between the local and global 3D protein structures of the WT and the mutants. The studies in this relatively small sample reveal that the structural changes are quite diverse.

Identifiants

pubmed: 33553733
doi: 10.1016/j.heliyon.2021.e06013
pii: S2405-8440(21)00118-3
pmc: PMC7846930
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e06013

Subventions

Organisme : NLM NIH HHS
ID : T15 LM007124
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002538
Pays : United States

Informations de copyright

© 2021 The Authors.

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Auteurs

Rolando Hernandez (R)

Department of Biomedical Informatics and Center for Clinical and Translational Science, The University of Utah, Salt Lake City, Utah, USA.

Julio C Facelli (JC)

Department of Biomedical Informatics and Center for Clinical and Translational Science, The University of Utah, Salt Lake City, Utah, USA.

Classifications MeSH