Predicted structures of key proteins

NYU scientists begin second phase of project to better understand disease

29-Jun-2006

A team of researchers at New York University's Center for Comparative functional genomics are embarking on the second phase of a collaborative research undertaking to predict structures of key proteins, which in turn shed light on their roles in diseases and offer pathways for cures. The inter-institutional project, which uses the IBM-backed World Community Grid, will focus on key human and malaria proteins, merging the biomedical and computation fields in carrying out the study.

"Protein folding is a big problem, there are a large number of proteins and a lot of possible shapes/fold," explained NYU scientist Bonneau, a new faculty member at NYU's Center for Comparative Functional Genomics, with a joint appointment in Biology and Computer Sciences. "In spite of the difficulty, it is an important problem, at the heart of deciphering genomes. The shear amount of compute power needed to carry out this project makes the use of grid computing essential."

It is for this reason that scientists at NYU have teamed up with IBM. The World Community Grid (wcgrid.org) aims to create the world's largest public computing grid to undertake projects that benefit humanity. IBM has developed the technical infrastructure that serves as the grid's foundation for scientific research.

The first and second phases of the NYU research are part of the Human Proteome Folding project (HPF), which combines the power the idle cycles on millions of computers (which we call the grid) to help scientists understand how human proteins fold, the shapes they take on after folding. As computers try millions of ways to fold the chains, they attempt to fold the protein in the way it actually folds in the human body (accurately predict the structure). The best shapes/3D-structures identified for each protein are returned to the scientists for further study and public release. Knowing the shapes of proteins will help researchers understand how proteins perform their functions in vivo (in the cell) and the roles of proteins in diseases. With a greater understanding of protein structure, scientists can learn more about the biological systems that underlie most human activity (biomedical, agricultural, environments). In the end, this work is enabled by the people, around the world, who have volunteered their idle cycles by downloading the grid client.

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