Jerry N. Blancato

TL;DR: A comprehensive review of computational toxicology can be found in this paper, focusing on applying these tools across many scales, including vastly increasing the numbers of chemicals and the types of biological interactions that can be evaluated.

TL;DR: This review surveys the state of the art in many areas of computational toxicology and points to several hurdles that will be important to overcome as the field moves forward.

TL;DR: The total amount of TRI metabolized was considered in the most recent EPA Health Assessment Document for Trichloroethylene to be the effective dose (EFD) producing tumors in the liver and there is evidence that formation of reactive intermediate(s) and TRI hepatotoxicity are directly proportional to the overall extent of TRI metabolism.

TL;DR: A program is needed to require the development of physicochemical and biological data to support risk assessment methodologies involving QSAR and PBPK/PD models.

TL;DR: In this paper, several of the major research activities being sponsored by Environmental Protection Agency's National Center for Computational Toxicology are highlighted and potential links between research in computational toxicology and human exposure science are identified.