Advances in Computational Toxicology
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Toxicology".
Deadline for manuscript submissions: closed (31 August 2011) | Viewed by 46446
Special Issue Editor
Interests: structure-toxicity relationships; translational biomarkers; computational systems toxicology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational toxicology is an expanding research area that is becoming a multi-disciplinary fusion of bioinformatics and computational sciences with molecular biology and chemistry. The goal is to create more predictive power in the field of toxicology as it applies to both environmental and therapeutic issues. The field relies on the application of computer technology and mathematical / computational methods to analyze, model, and predict potential toxicological effects from chemical structures, exposure characteristics, and networks of biological pathways affected by chemicals. The field is progressing rapidly due to increased availability of larger and better curated public databases and open-source predictive tools. Newer technologies for large scale data acquisition and the prediction of biological effects using systems biology methodology are expected to expand the scale and complexity of inquiry to a point where data gaps can be filled with predicted values with a high level of confidence.
Prof. Dr. Dale Johnson
Guest Editor
Keywords
- structural alerts
- analog identification
- categorization
- SAR
- QSAR
- biological pathway perturbations
- systems biology
- bioaccumulation
- persistence
- high-throughput screening
- high-content screening
- toxicogenomics
- metabolomics
- biomonitoring