TOXMET, INC.
In Silico Predictive Metabolism and Toxicology
(under construction check back soon!)


CYPP450s
¶ Toxic and carcinogenic side effects of drug administration are often do their cytoc hrome P450 (CYP450) metabolism.
¶ Approximately 30% of drugs that fail for reasons of toxicity are due to hepatoxicity.
¶ It has been estimated that 1 in 15 hospital admissions is due to adverse drug effects, while 106,000 pateints die and 2.2 million have adverse reactions in response to prescribed drugs.
¶ Both interindividual and population subgroup variations in metabolism of drugs and xenobiotics have profound clinical consequences.
¶ Evaluation of the toxic potential of early lead compounds in drug discovery efforts is crucial for successful drug discovery.
¶ Many efficacious drug candidates fail due to toxicity effects, with only a few proceeding to development.

ToxMet's focus is the development of preclinical triage tools for predictive metabolite identification and quantitation followed by  predictive toxicity assessment.

The development of a tool that achieves these goals and is capable of rapidly predicting the metabolite and toxicity profiles of preclinical candidates from large lead compound databases will enhance the discovery of efficacious compounds lacking toxicity effects due to their Phase I Metabolism.

For additional info during the construction of this site please contact infotoxmet AT toxmet.com