Impact/Purpose:

The objective of this proposal is to create The Carolina Center for Computational Toxicology. We present a clear plan for an effective, broad and interdisciplinary effort to devise novel tools, methods and knowledge that will utilize publicly available data to assist the regulatory agencies and the greater environmental health sciences community in protecting the environment and human health.

Description:

The Center will advance the field of computational toxicology through the development of new methods and tools, as well as through collaborative efforts. In each Project, new computer-based models will be developed and published that represent the state-of-the-art. The tools produced within each project will be widely disseminated, and the emphasis will be placed on their usability by the risk assessment community and the investigative toxicologists alike. The synthesis of data from a variety of sources will move the field of computational toxicology from a hypothesis-driven science toward a predictive science.

URLs/Downloads:

2008 Progress Report

Record Details:

Record Type:PROJECT( ABSTRACT )

Start Date:04/01/2008

Completion Date:03/31/2012

Record ID: 200537

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Related Organizations:

Role :OWNER

Organization Name :UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

Organization Name :CCCT

Mailing Address :103 S Bldg Cb 9100

Citation :Chapel Hill

State :NC

Zip Code :27599

Project Information:

Approach :

The Center will apply knowledge and expertise of the individual investigators and teams to develop complex predictive modeling solutions that span from mechanistic- to discovery-based efforts. The Center will be divided into three Research Projects and an Administrative Core Unit. To balance the research needs detailed in the Funding Opportunity EPA-G2007-STAR-D1 and maximize the interactions within the Center and between the Center and the larger environmental health community, the following sub-disciplines were recognized as critical to the Center: 1) Biomedical modeling of chemical-perturbed networks (Project 1, PIs Gomez and Elston), 2) Toxico-genetic modeling (Project 2, PIs Wright and Rusyn), and 3) Chem-informatics (Project 3, PI Tropsha). Overall, we chose a bottom-up approach to predictive computational modeling of adverse effects of toxic agents. Our emphasis spans from the fine-scale predictive simulations of the protein-protein/-chemical interactions in nuclear receptor networks (Project 1), to mapping chemical-perturbed networks and devising modeling tools that can predict the pathobiology of the test compounds based on a limited set of biological data (Project 1), to building tools that will enable toxicologists to understand the role of genetic diversity between individuals in responses to toxicants (Project 2), to unbiased discovery-driven prediction of adverse chronic in vivo outcomes based on statistical modeling of chemical structures, high-throughput screening and the genetic makeup of the organism (Project 3). The Administrative Core Unit provides administrative and programming staff in support of the entire Center, is responsible for ensuring that Center objectives and goals are being met, and provides oversight for each for the Projects. A detailed Quality Management Plan ensures that the research and data management will be conducted with integrity and adhering to appropriate data interchange standards. The plans for Public Outrea

Cost :$3,400,000.00

Research Component :Computational Toxicology

Project IDs:

ID Code :R833825

Project type :Center