Integrating Traditional Machine Learning and Deep Learning for Precision Screening of Anticancer Peptides: A Novel Approach for Efficient Drug Discovery-Reference-Cited by-同舟云学术

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Integrating Traditional Machine Learning and Deep Learning for Precision Screening of Anticancer Peptides: A Novel Approach for Efficient Drug Discovery

Published:2024-04-01 Issue:14 Volume:9 Page:16820-16831
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Xu Meiqi¹^ORCID,Pang Jiefu²,Ye Yangyang¹,Zhang Ziyi¹

Affiliation:

1. Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of Medicine, Hangzhou City University, Hangzhou 310015, Zhejiang, China

2. School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China

Funder

Zhejiang University Research and Incubation Fund

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c01374

Reference28 articles.

1. Cancer statistics, 2023

2. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

3. Targeting calcium signaling in cancer therapy

4. Introduction to Cancer Chemotherapeutics

5. Anticancer potential of natural peptides from terrestrial and marine environments: A review

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