Advances in QSAR through artificial intelligence and machine learning methods-Reference-Cited by-同舟云学术

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Advances in QSAR through artificial intelligence and machine learning methods

Published:2023 Issue: Volume: Page:101-116
ISSN:
Container-title:QSAR in Safety Evaluation and Risk Assessment
language:
Short-container-title:

Author:

Selvaraj Chandrabose,Elakkiya Elango,Prabhu Paulraj,Velmurugan Devadasan,Singh Sanjeev Kumar

Publisher

Elsevier

Reference64 articles.

1. Quantitative structure-activity relationship methods: perspectives on drug discovery and toxicology;Perkins;Environ Toxicol Chem,2003

2. QSAR modeling: where have you been? Where are you going to?;Cherkasov;J Med Chem,2014

3. Internationalization of read-across as a validated new approach method (NAM) for regulatory toxicology;Rovida;ALTEX,2020

4. The inevitable QSAR renaissance;Cramer;J Comput Aided Mol Des,2012

5. Quantitative structure-activity relationship: promising advances in drug discovery platforms;Wang;Expert Opin Drug Discov,2015

Cited by 2 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. Advanced AI Applications for Drug Discovery;Advances in Medical Technologies and Clinical Practice;2024-06-07

2. Exploring Digital Twin Technologies to Examine Transformation in Healthcare Systems;Advances in Business Information Systems and Analytics;2024-01-04

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