title: Fold prediction of helical proteins using torsion angle dynamics and predicted restraints.
abstract: We describe a procedure for predicting the tertiary folds of alpha-helical proteins from their primary sequences. The central component of the procedure is a method for predicting interhelical contacts that is based on a helix-packing model. Instead of predicting the individual contacts, our method attempts to identify the entire patch of contacts that involve residues regularly spaced in the sequences. We use this component to glue together two powerful existing methods: a secondary structure prediction program, whose output serves as the input to the contact prediction algorithm, and the tortion angle dynamics program, which uses the predicted tertiary contacts and secondary structural states to assemble three-dimensional structures. In the final step, the procedure uses the initial set of simulated structures to refine the predicted contacts for a new round of structure calculation. When tested against 24 small to medium-sized proteins representing a wide range of helical folds, the completely automated procedure is able to generate native-like models within a limited number of trials consistently.
authors.affiliation: Department of Chemistry and E. O. Lawrence Berkeley National Laboratory, University of California, Berkeley, CA 94720, USA.
authors.forename: Chao
authors.initials: C
authors.lastname: Zhang
authors.forename: Jingtong
authors.initials: J
authors.lastname: Hou
authors.forename: Sung-Hou
authors.initials: SH
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D007700:Kinetics; D008958:Models, Molecular; D017510:Protein Folding; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D012984:Software
chemical_list: D011506:Proteins