Progress and challenges in protein structure prediction

被引:358
作者
Zhang, Yang [1 ,2 ]
机构
[1] Univ Kansas, Ctr Bioinformat, Lawrence, KS 66047 USA
[2] Univ Kansas, Dept Mol Biosci, Lawrence, KS 66047 USA
关键词
D O I
10.1016/j.sbi.2008.02.004
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:342 / 348
页数:7
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