A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity-Reference-Cited by-同舟云学术

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A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity

Published:2024-06 Issue: Volume:226 Page:164-175
ISSN:1046-2023
Container-title:Methods
language:en
Short-container-title:Methods

Author:

Saravanan Konda Mani,Wan Jiang-Fan,Dai Liujiang,Zhang Jiajun,Zhang John Z.H.,Zhang Haiping

Funder

National Natural Science Foundation of China

Shenzhen Key Laboratory Formation Project

Publisher

Elsevier BV

Reference48 articles.

1. Paving the way for small-molecule drug discovery;Ma;Am. J. Transl. Res.,2021

2. Principles of early drug discovery;Hughes;Br. J. Pharmacol.,2011

3. Why 90% of clinical drug development fails and how to improve it?;Sun;Acta Pharm. Sin. B,2022

4. The evolving role of investigative toxicology in the pharmaceutical industry;Pognan;Nat. Rev. Drug Discov.,2023

5. Today’s challenges to de-risk and predict drug safety in human “mind-the-gap”;Weaver;Toxicol. Sci.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial intelligence and Computer-Aided Drug Discovery: Methods Development and Application;Methods;2024-09

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