Integration of read-across and artificial neural network-based QSAR model for systemic toxicity prediction of Mandelic acid

待确认 10 由 Owen 发布于 2026/7/3 14:35:56

DOI:10.1016/j.comtox.2026.100427
作者：Hemantkumar S. Chaudhari , Ludwik Gorczyca , Prajakta Shimpi , Tomoka Hisaki
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Mandelic acid, an alpha-hydroxy acid widely used in cosmetic and pharmaceutical products, currently lacks comprehensive systemic toxicity data. To address this gap and establish a suitable p

应助信息

等待求助人确认

求助人未确认前，本求助不能再次应助。36小时后系统将自动确认应助成功。本求助将自动关闭。

3小时前

懒洋洋

202607031728134174063.pdf

6小时前

小贝

f48ad92276ab11f1919234735aa3bc31.pdf 已驳回

6小时前

cuifang

98cbe2dc76a911f19850208810ba6e4f.pdf 已驳回

6小时前

Book学术机器人

2026/7/3 14:35:57 未找到该文献，机器人已退出，请等待人工下载

2026/7/3 14:35:56 Book学术AI机器人收到请求，开始寻找文献

2026/7/3 14:35:56 已向机器人发送请求

6小时前

Owen 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:Taylor & FrancisHigh-yield expression of periplasmic single-chain variable fragments by solid <i>Escherichia coli</i> cultures.