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

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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Bibliographic Details
Main Authors:	Xiujin Wu, Wenhua Zeng, Fan Lin
Format:	Article
Language:	English
Published:	BMC 2022-12-01
Series:	BMC Bioinformatics
Subjects:	Anticancer peptide Graph convolution network Graph collapse Graph representation learning Classification
Online Access:	https://doi.org/10.1186/s12859-022-04771-2

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