text: Simmerling is leading a team of researchers in the development of new algorithms and programs for accurate and efficient simulation of large biomolecular systems using state-of-the-art computers.  Their groundbreaking basic work in the field of computational chemistry and structural biology already is having a tremendous impact in biotechnology, medicinal chemistry and drug design. Using computer simulations in 2002, the team correctly predicted how a protein folds into its final shape purely from its genetic code. By forecasting what these molecules of life look like from their gene sequence, the team received worldwide attention for solving one of the most important challenges in post-genomic biology.
  The significance of Simmerlings discovery lies in the proteins shape, which dictates its function. A protein molecule acquires its shape as its long amino-acid chain folds into a compact, three-dimensional blob. While each kind of protein adopts a different fold, genome lists do not provide researchers with the structure of the folded form.
  Currently researchers use laborious experimental techniques to reveal the positions of each atom in the protein, and structures have been determined for only a small fraction of known proteins. This information allows researchers to understand the protein's function, determine why genome variations can result in disease, and serves as the basis for design of drugs that modify protein function.
  Researchers have long thought it possible to predict a proteins structure using computers to simulate how chains fold, knowing how amino acids tend to attract or repel one another. Because the folding process is extremely complex, however, no researchers had been able to successfully predict a protein structure from genetic data. That was before Simmerlings solution — he built a custom computer system using more than 100 PCs and developed software to directly simulate the changes that the protein undergoes while searching for its optimal fold.