Shaping up the protein folding funnel by local interaction: Lesson from a structure prediction study

被引:54
作者
Chikenji, G
Fujitsuka, Y
Takada, S [1 ]
机构
[1] Kobe Univ, Fac Sci, Dept Chem, Kobe, Hyogo 6578501, Japan
[2] Kobe Univ, Grad Sch Sci & Technol, Kobe, Hyogo 6578501, Japan
[3] Nagoya Univ, Grad Sch Engn, Dept Computat Sci & Engn, Nagoya, Aichi 4648603, Japan
[4] Japan Sci & Technol Agcy, Core Res Evolutionary Sci & Technol, Kobe, Hyogo 6578501, Japan
关键词
computational protein design; energy landscape; fragment assembly; Go model; SIMFOLD;
D O I
10.1073/pnas.0508195103
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Predicting protein tertiary structure by folding-like simulations is one of the most stringent tests of how much we understand the principle of protein folding. Currently, the most successful method for folding-based structure prediction is the fragment assembly (FA) method. Here, we address why the FA method is so successful and its lesson for the folding problem. To do so, using the FA method, we designed a structure prediction test of "chimera proteins." In the chimera proteins, local structural preference is specific to the target sequences, whereas nonlocal interactions are only sequence-independent compaction forces. We find that these chimera proteins can find the native folds of the intact sequences with high probability indicating dominant roles of the local interactions. We further explore roles of local structural preference by exact calculation of the HP lattice model of proteins. From these results, we suggest principles of protein folding: For small proteins, compact structures that are fully compatible with local structural preference are few, one of which is the native fold. These local biases shape up the funnel-like energy landscape.
引用
收藏
页码:3141 / 3146
页数:6
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