JoVE Logo

登录

JoVE Journal

Bioengineering

This content is Open Access.

live

Speed

×

In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox

13.4K Views

00:05 min

August 28th, 2019

August 28th, 2019

13,438 Views

0:04

Title

0:36

QSAR (Quantitative Structure-Activity Relationship) Input

1:51

Profiling

2:21

Data

3:04

Data Gap Filling

3:31

Report and Application

3:57

Results: Representative Predicted vs. Experimental Aquatic Toxicology of Endocrine Disruptors

5:09

Conclusion

副本

Quantitative structure-activity relationship (QSAR) modeling is a representative bioinformatics-assisted method in toxicological screening. This protocol demonstrates how to computationally assess the risks of endocrine disruptors (EDs) in aquatic environments. Utilizing the OECD QSAR Toolbox, the protocol implements an in silico assay for analyzing toxicity of EDs in fish.

我们使用 cookie 来增强您在我们网站上的体验。

继续使用我们的网站或单击“继续”,即表示您同意接受我们的 cookie。