In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Please note that all translations are automatically generated. Click here for the English version.
13.9K Views
•
00:05 min
•
August 28th, 2019
DOI :
August 28th, 2019
•Rozdziały w tym wideo
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
Powiązane Filmy
09:49
Use of a Battery of Chemical and Ecotoxicological Methods for the Assessment of the Efficacy of Wastewater Treatment Processes to Remove Estrogenic Potency
14.1K Views
08:00
Screening for Endocrine Activity in Water Using Commercially-available In Vitro Transactivation Bioassays
7.5K Views
09:01
A High-throughput Assay for the Prediction of Chemical Toxicity by Automated Phenotypic Profiling of Caenorhabditis elegans
7.2K Views
12:02
Using Tg(Vtg1:mcherry) Zebrafish Embryos to Test the Estrogenic Effects of Endocrine Disrupting Compounds
6.3K Views
16:02
Demonstration of the Sequence Alignment to Predict Across Species Susceptibility Tool for Rapid Assessment of Protein Conservation
2.6K Views
A High-Throughput Screening Approach for Evaluating the Binding Affinity of Environmental Pollutants to Nuclear Receptors
278 Views
10:29
Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
404 Views
13:22
A Chemical Screening Procedure for Glucocorticoid Signaling with a Zebrafish Larva Luciferase Reporter System
11.9K Views
14:20
High Throughput SiRNA Screening for Chloropicrin and Hydrogen Fluoride-Induced Cornea Epithelial Cell Injury
5.8K Views
06:25
Evaluating Toxicity of Chemicals using a Zebrafish Vibration Startle Response Screening System
1.4K Views
Copyright © 2025 MyJoVE Corporation. Wszelkie prawa zastrzeżone