title: Progress and challenges in protein structure prediction.
abstract: Depending on whether similar structures are found in the PDB library, the protein structure prediction can be categorized into template-based modeling and free modeling. Although threading is an efficient tool to detect the structural analogs, the advancements in methodology development have come to a steady state. Encouraging progress is observed in structure refinement which aims at drawing template structures closer to the native; this has been mainly driven by the use of multiple structure templates and the development of hybrid knowledge-based and physics-based force fields. For free modeling, exciting examples have been witnessed in folding small proteins to atomic resolutions. However, predicting structures for proteins larger than 150 residues still remains a challenge, with bottlenecks from both force field and conformational search.
authors.affiliation: Center for Bioinformatics and Department of Molecular Biosciences, University of Kansas, 2030 Becker Drive, Lawrence, KS 66047, United States. yzhang@ku.edu
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D008958:Models, Molecular; D011487:Protein Conformation; D011506:Proteins / Q000737:chemistry*
chemical_list: D011506:Proteins