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Structure–activity relationship information incorporation in health related environmental risk assessment

In the bioinformatics and environmetrics evolution, virology, molecular biology and toxicology, along with biostochastics, play the key role; the complex task is invaded by some statistical methodologic challenges. We need to identify the multitude of (often disguised) toxicants and virus working in synergism and slow progression, assess their absorption mode, as well as, in vivo biological activity and reaction, and then to formulate suitable stochastic models for statistical analysis. Lack of experimental control, difficulties with standard dose–response regression analysis, as well as limitations of usual dosimetric studies create impasses. Basically, chemical or viral structure and in vivo biological activity relationship information needs to be incorporated adequately to depict the causal cum stochastic relationship between environmental exposures (of toxins and virus) and specific health hazards. Limitations of conventional statistical analysis in health related environmental risk assessment are appraised; some Bayesian perspectives are also examined. Copyright © 2003 John Wiley & Sons, Ltd.