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基于距离和基序约束的蛋白质三级结构预测方法

Towards protein tertiary fold prediction using distance and motif constraints.

作者信息

Taylor W R

机构信息

Laboratory of Mathematical Biology, National Institute for Medical Research, Mill Hill, London, UK.

出版信息

Protein Eng. 1991 Dec;4(8):853-70. doi: 10.1093/protein/4.8.853.

Abstract

Based on a simplified model of the all-alpha class of protein, all packing arrangements of alpha-helices were generated and assessed by both general and specific structural rules. The method was applied to myoglobin and parvalbumin, which were both ranked in the top 4% of folds under the general packing constraints. Incorporation of the restrictions implied by the EF-hand motifs of parvalbumin were sufficient to select the correct fold as one of two (equal scoring) possibilities. Myoglobin scored well under the general packing constraints and the addition of a single distance constraint, implied by haem binding, was sufficient to select the correct fold as one of several candidates. Incorporation of a score for complementary hydrophobic packing between helices further selected myoglobin as a unique fold but did not improve the ranking of parvalbumin. For both proteins, the alpha-helices were predicted from multiply aligned sequences using pattern-matching methods and no specific aspect of the known X-ray structures influenced this or the prediction of the correct folds. Although the method is currently of limited generality, its further applications and extension to a more detailed structural level are discussed.

摘要

基于蛋白质全α类的简化模型,通过一般和特定的结构规则生成并评估了α螺旋的所有堆积排列。该方法应用于肌红蛋白和小清蛋白,在一般堆积限制下,它们的折叠均位列前4%。纳入小清蛋白EF手基序所隐含的限制条件足以从两种(得分相同)可能性中选择正确的折叠。在一般堆积限制下,肌红蛋白得分良好,添加一个由血红素结合所隐含的单一距离限制条件足以从多个候选折叠中选择正确的折叠。纳入螺旋间互补疏水堆积的得分进一步将肌红蛋白选为独特的折叠,但未提升小清蛋白的排名。对于这两种蛋白质,使用模式匹配方法从多重比对序列中预测α螺旋,已知X射线结构的任何特定方面均未影响此预测或正确折叠的预测。尽管该方法目前通用性有限,但仍讨论了其进一步的应用以及向更详细结构水平的扩展。

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