Special Issue "Advances in Computational Toxicology"
Deadline for manuscript submissions: closed (31 August 2011)
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
- structural alerts
- analog identification
- biological pathway perturbations
- systems biology
- high-throughput screening
- high-content screening