title: Ab initio protein structure prediction.
abstract: Steady progress has been made in the field of ab initio protein folding. A variety of methods now allow the prediction of low-resolution structures of small proteins or protein fragments up to approximately 100 amino acid residues in length. Such low-resolution structures may be sufficient for the functional annotation of protein sequences on a genome-wide scale. Although no consistently reliable algorithm is currently available, the essential challenges to developing a general theory or approach to protein structure prediction are better understood. The energy landscapes resulting from the structure prediction algorithms are only partially funneled to the native state of the protein. This review focuses on two areas of recent advances in ab initio structure prediction-improvements in the energy functions and strategies to search the caldera region of the energy landscapes.
authors.affiliation: Center for Biophysics and Computational Biology, University of Illinois, 600 South Mathews Avenue, Urbana, Illinois 61801, USA.
authors.forename: Corey
authors.initials: C
authors.lastname: Hardin
authors.forename: Taras V
authors.initials: TV
authors.lastname: Pogorelov
authors.forename: Zaida
authors.initials: Z
authors.lastname: Luthey-Schulten
mesh_terms: D002627:Chemistry, Physical / Q000379:methods; D008958:Models, Molecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins