Cargando…
Computational pipeline to probe NaV1.7 gain-of-function variants in neuropathic painful syndromes
Applications of machine learning and graph theory techniques to neuroscience have witnessed an increased interest in the last decade due to the large data availability and unprecedented technology developments. Their employment to investigate the effect of mutational changes in genes encoding for pr...
Autores principales: | Toffano, Alberto A., Chiarot, Giacomo, Zamuner, Stefano, Marchi, Margherita, Salvi, Erika, Waxman, Stephen G., Faber, Catharina G., Lauria, Giuseppe, Giacometti, Achille, Simeoni, Marta |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578092/ https://www.ncbi.nlm.nih.gov/pubmed/33087732 http://dx.doi.org/10.1038/s41598-020-74591-y |
Ejemplares similares
-
Hydropathicity-based prediction of pain-causing NaV1.7 variants
por: Xenakis, Makros N., et al.
Publicado: (2021) -
Network topology of NaV1.7 mutations in sodium channel-related painful disorders
por: Kapetis, Dimos, et al.
Publicado: (2017) -
Correlation of Nav1.8 and Nav1.9 sodium channel expression with neuropathic pain in human subjects with lingual nerve neuromas
por: Bird, Emma V, et al.
Publicado: (2013) -
A painful neuropathy-associated Nav1.7 mutant leads to time-dependent degeneration of small-diameter axons associated with intracellular Ca(2+) dysregulation and decrease in ATP levels
por: Rolyan, Harshvardhan, et al.
Publicado: (2016) -
Archival skin biopsy specimens as a tool for miRNA-based diagnosis: Technical and post-analytical considerations
por: Andelic, Mirna, et al.
Publicado: (2023)