Virtual Screening of Large Databases of Small-Molecule Drugs
Nouri Neamati is an associate professor in the USC School of Pharmacy?s Department
of Pharmacology and Pharmaceutical Sciences. His research interests include drug
design and discovery, database mining of small-molecule compounds, molecular
pharmacology, and chemoinformatics.
Neamati has established an internationally recognized program in drug design and
discovery with a major focus on antiviral and anticancer therapeutics. He and his
research team use computational chemistry to match chemical compounds to biological
processes in order to design drugs for the treatment of various diseases, including
cancer and HIV/AIDS. Using the structural information available for many existing drugs
and targets, Neamati and his team develop small-molecule compounds based on
known drugs and the size and shape of a targeted cavity within a protein of a diseased
cell. The compound must conform closely to the shape of the cavity in order to bind to it
and inhibit the function of the protein.
Neamati's team uses HPCC resources to test thousands of compounds against the
shape of single, diseased cells to determine the best fit. His team has developed a
database, containing 10 million small-molecule compounds, that is readily searchable
using two-dimensional fingerprinting algorithms. The team has also calculated up to 200
conformations for each compound to generate approximately 2 billion structures that are
fully searchable in three dimensions.
Neamati and his team are currently testing numerous compounds that could lead to
major breakthroughs in the treatment of cancer and HIV/AIDS.
Neamati's research is funded by the National Institutes of Health (NIH), Department of
Defense, American Lung Association, American Association for Cancer Research, and
the Susan G. Komen Breast Cancer Foundation. He has been awarded the NIH
Technology Transfer Award, the Stop Cancer Award, the GlaxoSmithKline Drug
Discovery and Development Award, and an Idea Award from the Department of
Defense's Congressionally Directed Ovarian and Breast Cancer Research Program.