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Updated: May 31, 2026
05:47
In Silico Modeling Method for Computational Aquatic Toxicology of Endocrine Disruptors: A Software-Based Approach Using QSAR Toolbox
Published on: August 28, 2019
Aquatic models, genomics and chemical risk management
Keith C Cheng1, David E Hinton, Carolyn J Mattingly
1Jake Gittlen Cancer Research Foundation and Division of Experimental Pathology, Penn State Hershey College of Medicine, Hershey, PA 17033, USA. kcheng76@gmail.com
Summary
Aquatic animal models, combined with bioinformatics and web resources, advance human gene function research. This approach aids environmental management and drug development by integrating anatomical context with toxicological data.
Area of Science:
- Systems Biology
- Environmental Toxicology
- Bioinformatics
Background:
- Previous meetings highlighted advances in aquatic animal models for human disease research.
- Community discussions focused on future directions for aquatic model research.
Purpose of the Study:
- To propose integrating anatomical context with bioinformatics and web-based resources for aquatic model research.
- To advance understanding of human gene function, environmental management, and drug development.
Main Methods:
- Utilizing feral and experimental fish models.
- Employing web-based annotated anatomical atlases and toxicological databases.
- Envisioning automated whole-animal imaging and computational morphometry.
Main Results:
- Data integration advances human gene function understanding.
- Aquatic models serve as sentinels for environmental contamination.
- Web-based resources facilitate data accessibility and analysis.
Conclusions:
- The integration of automated imaging, database generation, and web accessibility potentiates aquatic models' role in systems biology.
- Genomic/transcriptomic data combined with high-performance computing enhances drug development and environmental risk management.
- Aquatic models are crucial for understanding gene-environment interactions and their impact on human health.
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