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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מידע ביבליוגרפי
Main Authors: Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, Pramote Chumnanpuen
פורמט: Article
שפה:English
יצא לאור: Nature Portfolio 2024-02-01
סדרה:Scientific Reports
נושאים:
Toxin
Sodium channel
Bioinformatics
Machine learning
Feature selection
Feature representation
גישה מקוונת:https://doi.org/10.1038/s41598-024-55160-z

אינטרנט

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

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