TOXIFY: a deep learning approach to classify animal venom proteins

In the era of Next-Generation Sequencing and shotgun proteomics, the sequences of animal toxigenic proteins are being generated at rates exceeding the pace of traditional means for empirical toxicity verification. To facilitate the automation of toxin identification from protein sequences, we traine...

Descripción completa

Detalles Bibliográficos
Autores principales: Cole, T. Jeffrey, Brewer, Michael S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2019
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601600/
https://www.ncbi.nlm.nih.gov/pubmed/31293833
http://dx.doi.org/10.7717/peerj.7200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6601600/
https://www.ncbi.nlm.nih.gov/pubmed/31293833
http://dx.doi.org/10.7717/peerj.7200

Ejemplares similares