Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

Abstract The voltage-gated sodium (Nav) channel is a crucial molecular component responsible for initiating and propagating action potentials. While the α subunit, forming the channel pore, plays a central role in this function, the complete physiological function of Nav channels relies on crucial i...

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Bibliographische Detailangaben
Hauptverfasser: Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, Pramote Chumnanpuen
Format: Artikel
Sprache:English
Veröffentlicht: Nature Portfolio 2024-02-01
Schriftenreihe:Scientific Reports
Schlagworte:
Toxin
Sodium channel
Bioinformatics
Machine learning
Feature selection
Feature representation
Online Zugang:https://doi.org/10.1038/s41598-024-55160-z

Online

https://doi.org/10.1038/s41598-024-55160-z

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