Realizing the promise of computational prediction in toxicology applications

Toxicant screening is only as efficient and effective as the underlying methods. Unfortunately, chemical toxicity screening is predominated by slow, laborious, and costly methods some of which raise ethical concerns. Certain methods involve animal testing, and others involve tedious in vitro work. Accurate toxicity prediction is needed to enable regulatory decision making and for accelerating the drug development process. Current standard wet laboratory methods cannot keep pace with the increasingly varied panoply of potential toxicants that both human beings and fellow wildlife are bathed in.