Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System

Autor: Shin Totoki, Kentaro Handa, Yoshihiro Uesawa, Yasunari Matsuzaka, Tetsuyoshi Shiota, Kota Kurosaki

Publikováno v: International Journal of Molecular Sciences, Vol 22, Iss 10821, p 10821 (2021)
International Journal of Molecular Sciences
Volume 22
Issue 19

In silico approaches have been studied intensively to assess the toxicological risk of various chemical compounds as alternatives to traditional in vivo animal tests. Among these approaches, quantitative structure–activity relationship (QSAR) analy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68211270236a0f8f16721bd67e4e1329
https://www.mdpi.com/1422-0067/22/19/10821