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UT Computer Science Professor Develops New Software to Aid in Disease Treatment

Daily Texan (07/18/12) David Maly

University of Texas (UT) researchers have developed software that can determine which compounds will best treat diseases using less information than was previously required.  The software relies on the 3D quasi-atomistic model of a virus’ protein cells to identify possible cures.  The researchers, led by UT professor Chandrajit Bajaj, developed algorithms to study the necessary detail on the 3D quasi-atomistic cell model needed to determine which drugs are most likely to prevent or treat a disease.  UT researcher Qin Zhang says the software will greatly help with future drug research by enabling scientists to research viruses without using the 3D atomistic model.  Although the software has been used mostly for HIV research, other scientists have approached the UT team about using it for work on other viruses.  “Each one is where they don’t have an atomistic model to begin with, and there is not any solution available other than ours,” Bajaj says.


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