Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

Accelerating the Discovery of Anticancer Peptides through Deep Forest Architecture with Deep Graphical Representation

Cancer is one of the leading diseases threatening human life and health worldwide. Peptide-based therapies have attracted much attention in recent years. Therefore, the precise prediction of anticancer peptides (ACPs) is crucial for discovering and designing novel cancer treatments. In this study, w...

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Bibliographic Details
Main Authors: Lantian Yao, Wenshuo Li, Yuntian Zhang, Junyang Deng, Yuxuan Pang, Yixian Huang, Chia-Ru Chung, Jinhan Yu, Ying-Chih Chiang, Tzong-Yi Lee
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:International Journal of Molecular Sciences
Subjects:
anticancer peptide
drug discovery
feature extraction
deep forest
sequence analysis
Online Access:https://www.mdpi.com/1422-0067/24/5/4328

Internet

https://www.mdpi.com/1422-0067/24/5/4328

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