TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides

The accurate identification of anticancer peptides (ACPs) and antimicrobial peptides (AMPs) remains a computational challenge. We propose a tri-fusion neural network termed TriNet for the accurate prediction of both ACPs and AMPs. The framework first defines three kinds of features to capture the pe...

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Detalles Bibliográficos
Autores principales: Zhou, Wanyun, Liu, Yufei, Li, Yingxin, Kong, Siqi, Wang, Weilin, Ding, Boyun, Han, Jiyun, Mou, Chaozhou, Gao, Xin, Liu, Juntao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028424/
https://www.ncbi.nlm.nih.gov/pubmed/36960450
http://dx.doi.org/10.1016/j.patter.2023.100702

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10028424/
https://www.ncbi.nlm.nih.gov/pubmed/36960450
http://dx.doi.org/10.1016/j.patter.2023.100702

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