Enhanced interpretation of 935 hotspot and non-hotspot RAS variants using evidence-based structural bioinformatics.
Data interpretation
Functional genomics
Genomics
Protein science
RAS mutation
Structural bioinformatics
Journal
Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369
Informations de publication
Date de publication:
2022
2022
Historique:
received:
09
06
2021
revised:
05
12
2021
accepted:
05
12
2021
entrez:
3
1
2022
pubmed:
4
1
2022
medline:
4
1
2022
Statut:
epublish
Résumé
In the current study, we report computational scores for advancing genomic interpretation of disease-associated genomic variation in members of the RAS family of genes. For this purpose, we applied 31 sequence- and 3D structure-based computational scores, chosen by their breadth of biophysical properties. We parametrized our data by assembling a numerically homogenized experimentally-derived dataset, which when use in our calculations reveal that computational scores using 3D structure highly correlate with experimental measures (e.g., GAP-mediated hydrolysis R
Identifiants
pubmed: 34976316
doi: 10.1016/j.csbj.2021.12.007
pii: S2001-0370(21)00515-8
pmc: PMC8688876
doi:
Types de publication
Journal Article
Langues
eng
Pagination
117-127Informations de copyright
© 2021 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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