MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction-Reference-Cited by-同舟云学术

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MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction

Published:2023-09 Issue: Volume:164 Page:106904
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Teng Saisai,Yin Chenglin,Wang Yu,Chen Xiandong,Yan Zhongmin,Cui Lizhen,Wei Leyi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference68 articles.

1. Risk assessment and mitigation strategies for reactive metabolites in drug discovery and development;Thompson;Chem. Biol. Interact.,2011

2. A comprehensive review of computational techniques for the prediction of drug side effects;Sachdev;Drug Dev. Res.,2020

3. In silico approaches for predicting ADME properties of drugs;Yamashita;Drug Metabol. Pharmacokinet.,2004

4. In vitro and in vivo toxicity assessment of nanoparticles;Kumar;Int. Nano Lett.,2017

5. SEURAT: safety evaluation ultimately replacing animal testing—recommendations for future research in the field of predictive toxicology;Daston;Arch. Toxicol.,2015

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