Hydropathicity-based prediction of pain-causing NaV1.7 variants

Hydropathicity-based prediction of pain-causing NaV1.7 variants

Abstract Background Mutation-induced variations in the functional architecture of the NaV1.7 channel protein are causally related to a broad spectrum of human pain disorders. Predicting in silico the phenotype of NaV1.7 variant is of major clinical importance; it can aid in reducing costs of in vitr...

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Bibliographic Details
Main Authors: Makros N. Xenakis, Dimos Kapetis, Yang Yang, Monique M. Gerrits, Jordi Heijman, Stephen G. Waxman, Giuseppe Lauria, Catharina G. Faber, Ronald L. Westra, Patrick J. Lindsey, Hubert J. Smeets
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Bioinformatics
Subjects:
NaV1.7
Missense mutations
Pain
Atomic hydropathicity
Computational modeling
Cumulative hydropathic topology
Online Access:https://doi.org/10.1186/s12859-021-04119-2

Internet

https://doi.org/10.1186/s12859-021-04119-2

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