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Toxicity database under development at Rutgers-Camden
Date:11/15/2013

CAMDEN A RutgersCamden professor is developing a comprehensive data system that can be used as a valuable computational tool for researchers by providing them with access to chemical toxicity information.

Hao Zhu, an assistant professor of chemistry, is building the "automated profiling system" from existing bioassay data from public resources. The new chemical toxicity profiles can help scientists who are seeking information on chemicals of specific environmental or pharmaceutical interest.

"There exists a very complicated, large-scale database of information and my research is to create an organized profile of chemical compounds that brings data together from the two methods used for predictive toxicity: in vitro methodology and computational methodology," Zhu says.

Zhu's work is being funded by a three-year, $464,983 grant from the National Institutes of Health. The online database will be housed on a RutgersCamden server.

An in-vitro method for testing chemical toxicity is used by scientists to observe how toxic chemical compounds induce changes in a cell. Another method utilizes computational models to predict toxicity directly from chemical structures. Both methods are alternatives to traditional toxicity testing, which has become controversial because the method requires animal testing.

Zhu is taking existing in-vitro data and categorizing and prioritizing it for the new database.

"The in-vitro assays have generated a lot of data," Zhu says. "Knowing chemical toxicity is very important to drug development because we need to know the maximum dose that can be given to a patient so that it does not have harmful effects."

Zhu says he believes that information gained from in-vitro testing and from computational model predictions does not paint a complete picture of chemical toxicity when taken separately, but when combined together, the data can create a better, more comprehensive idea
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Contact: Ed Moorhouse
ejmoor@camden.rutgers.edu
856-225-6759
Rutgers University
Source:Eurekalert

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