期刊
SAR AND QSAR IN ENVIRONMENTAL RESEARCH
卷 32, 期 7, 页码 541-571出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/1062936X.2021.1932583
关键词
Macrolides; QSAR; machine learning; structural interpretation; Tetrahymena pyriformis; acute toxicity
Avermectins have been widely used as antiparasitic agents in medicine, veterinary medicine, and agriculture, but there is a lack of reliable data on their ecotoxicological characteristics. Various QSAR models and machine learning methods were used to study the acute toxicity of avermectins towards T. pyriformis, with the Transformer Convolutional Neural Network model showing the best predictive ability. Significant molecular transformations affecting the acute toxicity of organic compounds were identified through the developed QSAR model.
Avermectins have been effectively used in medicine, veterinary medicine, and agriculture as antiparasitic agents for many years. However, there are still no reliable data on the main ecotoxicological characteristics of most individual avermectins. Although many QSAR models have been proposed to describe the acute toxicity of organic compounds towards Tetrahymena pyriformis (T. pyriformis), avermectins are outside the applicability domain of these models. The influence of the molecular structures of various organic compounds on the acute toxicity towards T. pyriformis was studied using the OCHEM web platform (). A data set of 1792 toxicants was used to create models. The QSAR (Quantitative Structure-Activity Relationship) models were developed using the molecular descriptors Dragon, ISIDA, CDK, PyDescriptor, alvaDesc, and SIRMS and machine learning methods, such as Least Squares Support Vector Machine and Transformer Convolutional Neural Network. The HYBOT descriptors and Random Forest were used for a comparative QSAR investigation. Since the best predictive ability was demonstrated by the Transformer Convolutional Neural Network model, it was used to predict the toxicity of individual avermectins towards T. pyriformis. During a structural interpretation of the developed QSAR model, we determined the significant molecular transformations that increase and decrease the acute toxicity of organic compounds.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据