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

Abstract 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 Convol...

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Autors principals:	Xiujin Wu, Wenhua Zeng, Fan Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2022-12-01
Col·lecció:	BMC Bioinformatics
Matèries:	Anticancer peptide Graph convolution network Graph collapse Graph representation learning Classification
Accés en línia:	https://doi.org/10.1186/s12859-022-04771-2
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