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The National Center for Computational Toxicology (NCCT) is a part of EPA's Office of Research and Development (ORD). Located in Research Triangle Park, North Carolina, NCCT coordinates and implements EPA's research in the field of computational toxicology. NCCT scientists serve as scientific reviewers and advisors by providing technical assistance to other Laboratories and Centers within ORD, to EPA Program Offices and Regions, and to the states. Additionally, NCCT serves as a source of training in computational toxicology by offering seminars, mini-courses, symposia, and staff details.

NCCT is committed to collaborating with other governmental and private organizations to leverage external resources whose complementary expertise can help EPA accelerate progress in high priority research areas. NCCT works closely with the STAR-funded Center for Environmental Bioinformatic Research to provide tools and training to broader scientific audiences and sponsors external research in the field of computational toxicology conducted in support of EPA's mission.

Read more about the science of Computational ToxicologyRead more about the science of Computational Toxicology

bullet image EPA Post-doc Program is Currently Taking Applications

EPA's National Center for Computational Toxicology (NCCT) seeks qualified individuals to fill positions in our post-doctoral program. Read More.

bullet image NCCT is happy to announce that Drs. David Reif and John Wambaugh have joined our staff as bioinformatics and computational systems scientists.

David Reif earned his B.S. (Biology) from the College of William & Mary, and both his M.S. (Statistics) and Ph.D. (Human Genetics) from Vanderbilt University. In his new position, David will be focusing on NCCT’s bioinformatics projects. John Wambaugh earned his B.S. (Physics) from the University of Michigan, and a M.S. in physics from Georgia Institute of Technology. He is a graduate of Duke University, where he received a M.S. in computer science in 2005 and a Ph.D. in physics in 2006. In his new position John will be joining NCCT’s Virtual Tissues Team. Read More

bullet image Announcing the First ToxCast Data Analysis Summit

The NCCT is hosting a workshop to explore methods for analyzing the ToxCast data set. Researchers who are interested in accessing the data, analyzing it and presenting results are invited to attend. Read More.

bullet image Next Opening Period for Fellowship Program will be January 12, 2009.

This Fellowship program is intended to help translate the technologies and approaches being developed within the NCCT to other parts of the Agency. This is a great opportunity for interaction, collaboration and facilitation of Computational Toxicology. Read More

bullet image New and Improved DSSTox Structure Browser for Chemical Analog Searching

The DSSTox Structure Browser v2.0 includes a number of new features to facilitate flexible text (Chemical Name, CAS) and chemical structure searching through 11 published DSSTox Data Files, currently spanning over 6000 chemical structures. New to the Browser are External link-outs based on chemical structure to public resources that include: PubChem, ChemSpider, Lazar In Silico Toxicology, and soon-to-be-activated, ACToR. More Information on DSSTox Structure Browser Update v2.0.

bullet image ToxCast™ Research Program Update

The first phase of ToxCast™ has generated over 10 in vitro datasets, including ~500 assays run on 320 chemicals. These in vitro data are being used to derive predictive signatures for the in vivo toxicities captured in ToxRefDB. The ToxCast™ homepage provides links to datasets, manuscripts, and opportunities for partnering with this exciting research program. Read more

bullet image Computational Toxicology Implementation Plan

Implementation Plan

ORD's Computational Toxicology Research Program Implementation Plan lays out the rationale and short to medium term objectives of the research program in computational toxicology.

The plan discusses the three main components of the program, and details the research issue and relevance, experimental approach, progress to date and milestones over the next three years for each.
Read the Full Implementation Plan (PDF, 100 pp., 930 kb, About PDF)

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