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利用信息论预测反平行和平行β折叠中的链配对

Prediction of strand pairing in antiparallel and parallel beta-sheets using information theory.

作者信息

Steward Robert E, Thornton Janet M

机构信息

EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.

出版信息

Proteins. 2002 Aug 1;48(2):178-91. doi: 10.1002/prot.10152.

Abstract

An information theory approach was developed to predict the alignment of interacting antiparallel and parallel beta-strands. Information scores were derived for the preference of a residue on a beta-strand to be opposite a sequence of residues on an adjacent beta-strand. These scores were used to predict the interstrand register of interacting beta-strands from 10 alternative offset positions either side of the experimentally observed beta-sheet register. The amino acid sequence of an internal beta-strand can be correctly aligned with two beta-strands in a fixed position either side of the strand in 45% of antiparallel and 48% of parallel arrangements. For comparison, when another beta-strand from a nonhomologous protein substitutes the internal beta-strand, the same register is predicted for only 24 and 36% of antiparallel and parallel arrangements. As expected, alignment of a single fixed strand with just a second beta-strand sequence was more difficult, and gave a correct register in 31 and 37% of antiparallel and parallel beta-pairs, respectively. These scores are 10% higher than for two randomly selected beta-strand sequences. In general, prediction accuracy was not improved by information tables that distinguished hydrogen-bonding patterns or beta-strand order. These results will contribute to predicting the arrangement of beta-strands in beta-pleated sheets and protein topology.

摘要

一种信息论方法被开发出来用于预测相互作用的反平行和平行β链的排列。推导了β链上一个残基相对于相邻β链上一系列残基的偏好的信息得分。这些得分被用于从实验观察到的β折叠排列两侧的10个替代偏移位置预测相互作用β链的链间对齐方式。在45%的反平行排列和48%的平行排列中,内部β链的氨基酸序列可以与该链两侧固定位置的两条β链正确对齐。相比之下,当来自非同源蛋白质的另一条β链替代内部β链时,在反平行和平行排列中,只有24%和36%能预测到相同的对齐方式。正如预期的那样,仅将一条固定链与第二条β链序列对齐更困难,在反平行和平行β链对中,分别只有31%和37%能给出正确的对齐方式。这些得分比两个随机选择的β链序列高10%。一般来说,区分氢键模式或β链顺序的信息表并不能提高预测准确性。这些结果将有助于预测β折叠中β链的排列以及蛋白质拓扑结构。

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