GCNCPR-ACPs: a novel graph convolution network method for ACPs prediction

BACKGROUND: Anticancer peptide (ACP) inhibits and kills tumor cells. Research on ACP is of great significance for the development of new drugs, and the prediction of ACPs and non-ACPs is the new hotspot. RESULTS: We propose a new machine learning-based method named GCNCPR-ACPs (a Graph Convolutional...

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Detalles Bibliográficos
Autores principales: Wu, Xiujin, Zeng, Wenhua, Lin, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789540/
https://www.ncbi.nlm.nih.gov/pubmed/36564705
http://dx.doi.org/10.1186/s12859-022-04771-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9789540/
https://www.ncbi.nlm.nih.gov/pubmed/36564705
http://dx.doi.org/10.1186/s12859-022-04771-2

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