The majority of commercial chemicals that enter the market in the United States every year have insufficient health and safety data. For pesticides, the U.S. Environmental Protection Agency uses a variety of techniques to fill data gaps in order to evaluate chemical hazard, exposure and risk. Nonetheless, public concern over the potential threat that these chemicals pose has grown in recent years, along with the realization that traditional animal-testing methods are not pragmatic by means of speed, economics or ethics. Now, researchers at the George Washington University have developed a new computational approach to rapidly screen pesticides for safety, performance and how long they will endure in the environment. Moreover, and most importantly, the new approach will aid in the design of next-generation molecules to develop safer pesticides.
