NIGMS Funds Protein Prediction Tool Development

By Matthew Dublin

University of Missouri researchers are using a $1.18 million grant courtesy of the National Institute of General Medical Sciences to improve their protein prediction software system called MULTICOM. The software is a multi-level combination approach to improve the various steps in protein structure prediction. In contrast to those methods which look for the best templates, alignments and models, MULTICOM combines complementary and alternative templates, alignments and models to achieve on average better accuracy.

"Proteins are fundamental molecules that are involved in many basic and important functions," says Jianlin Cheng, assistant professor of computer science in the MU College of Engineering. "The structure of a protein determines the function. When a protein folds abnormally, dysfunctions occur, which lead to diseases, such as Parkinson's disease, Alzheimer's and cancer. By converting protein sequences into predictable structures, scientists can view how a structure folds and thus predict how drugs will affect the protein. This information is useful when designing drugs and cures."

Cheng aims to use this grant to develop fast and cheap computational technology to accurately predict protein structure from protein sequence.