Structure-based prediction of Ras-effector binding affinities and design of "branchegetic" interface mutations.
AlphaFold
FoldX
Ras
branch pruning
edgetics
effectors
enedgetics
homology modeling
hub
networks
Journal
Structure (London, England : 1993)
ISSN: 1878-4186
Titre abrégé: Structure
Pays: United States
ID NLM: 101087697
Informations de publication
Date de publication:
06 Jul 2023
06 Jul 2023
Historique:
received:
17
11
2022
revised:
28
02
2023
accepted:
14
04
2023
medline:
10
7
2023
pubmed:
12
5
2023
entrez:
11
5
2023
Statut:
ppublish
Résumé
Ras is a central cellular hub protein controlling multiple cell fates. How Ras interacts with a variety of potential effector proteins is relatively unexplored, with only some key effectors characterized in great detail. Here, we have used homology modeling based on X-ray and AlphaFold2 templates to build structural models for 54 Ras-effector complexes. These models were used to estimate binding affinities using a supervised learning regressor. Furthermore, we systematically introduced Ras "branch-pruning" (or branchegetic) mutations to identify 200 interface mutations that affect the binding energy with at least one of the model structures. The impacts of these branchegetic mutants were integrated into a mathematical model to assess the potential for rewiring interactions at the Ras hub on a systems level. These findings have provided a quantitative understanding of Ras-effector interfaces and their impact on systems properties of a key cellular hub.
Identifiants
pubmed: 37167973
pii: S0969-2126(23)00130-2
doi: 10.1016/j.str.2023.04.007
pii:
doi:
Substances chimiques
ras Proteins
EC 3.6.5.2
Proteins
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
870-883.e5Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests.