title: A fast algorithm for low-resolution protein structure prediction.
abstract: We propose a new approach for the protein tertiary structure prediction based on the concept of mini-threading. The method identifies useful fragments in Protein Data Bank (PDB) with variable lengths and retrieves spatial restraints. The multidimensional scaling method and least-squares minimization are used to build coarse-grain structural models. Our method uses the information in the PDB efficiently and the prediction time is in minutes when compared to hours and days required by existing methods.
authors.affiliation: Dept. of Comput. Sci., Missouri Univ., Columbia, MO 65211, USA.
authors.forename: Rajkumar
authors.initials: R
authors.lastname: Bondugula
authors.forename: Dong
authors.initials: D
authors.lastname: Xu
authors.forename: Yi
authors.initials: Y
authors.lastname: Shang
mesh_terms: D000465:Algorithms; D019295:Computational Biology / Q000295:instrumentation / Q000379:methods*; D003198:Computer Simulation; D030562:Databases, Protein; D015233:Models, Statistical; D009010:Monte Carlo Method; D011487:Protein Conformation; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry*; D020539:Sequence Analysis, Protein; D013997:Time Factors
chemical_list: D011506:Proteins