Exploring Protein Supersecondary Structure Through Changes in Protein Folding, Stability, and Flexibility.
DUET
DynaMut
Graph-based signatures
Machine learning
Missense mutations
Normal mode analysis
Protein stability and folding
Journal
Methods in molecular biology (Clifton, N.J.)
ISSN: 1940-6029
Titre abrégé: Methods Mol Biol
Pays: United States
ID NLM: 9214969
Informations de publication
Date de publication:
2019
2019
Historique:
entrez:
5
4
2019
pubmed:
5
4
2019
medline:
25
7
2019
Statut:
ppublish
Résumé
The ability to predict how mutations affect protein structure, folding, and flexibility can elucidate the molecular mechanisms leading to disruption of supersecondary structures, the emergence of phenotypes, as well guiding rational protein engineering. The advent of fast and accurate computational tools has enabled us to comprehensively explore the landscape of mutation effects on protein structures, prioritizing mutations for rational experimental validation.Here we describe the use of two complementary web-based in silico methods, DUET and DynaMut, developed to infer the effects of mutations on folding, stability, and flexibility and how they can be used to explore and interpret these effects on protein supersecondary structures.
Identifiants
pubmed: 30945219
doi: 10.1007/978-1-4939-9161-7_9
doi:
Substances chimiques
Proteins
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng