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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Watshara Shoombuatong, Nutta Homdee, Nalini Schaduangrat, Pramote Chumnanpuen
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Nature Portfolio 2024-02-01
Sarja:Scientific Reports
Aiheet:
Toxin
Sodium channel
Bioinformatics
Machine learning
Feature selection
Feature representation
Linkit:https://doi.org/10.1038/s41598-024-55160-z

Internet

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

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