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Protein secondary structure: entropy, correlations and prediction

机译:蛋白质二级结构:熵,相关性和预测

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摘要

Motivation: Is protein secondary structure primarily determined by local interactions between residues closely spaced along the amino acid backbone or by non-local tertiary interactions? To answer this question, we measure the entropy densities of primary and secondary structure sequences, and the local inter-sequence mutual information density. Results: We find that the important inter-sequence interactions are short ranged, that correlations between neighboring amino acids are essentially uninformative and that only one-fourth of the total information needed to determine the secondary structure is available from local inter-sequence correlations. These observations support the view that the majority of most proteins fold via a cooperative process where secondary and tertiary structure form concurrently. Moreover, existing single-sequence secondary structure prediction algorithms are almost optimal, and we should not expect a dramatic improvement in prediction accuracy.
机译:动机:蛋白质二级结构是主要由沿氨基酸骨架紧密间隔的残基之间的局部相互作用还是由非局部的三级相互作用决定的?为了回答这个问题,我们测量了一级和二级结构序列的熵密度,以及局部序列间的互信息密度。结果:我们发现重要的序列间相互作用是近距离的,相邻氨基酸之间的相关性基本上是无信息的,并且确定二级结构所需的全部信息中只有四分之一可从局部序列间相关性获得。这些观察结果支持大多数蛋白质通过合作过程折叠的观点,其中二级和三级结构同时形成。而且,现有的单序列二级结构预测算法几乎是最优的,我们不应该期望预测精度有显着提高。

著录项

  • 来源
    《Bioinformatics》 |2004年第10期|p. 1603-1611|共9页
  • 作者单位

    Department of Plant and Microbial Biology, University of California, 111 Koshland Hall No. 3102, Berkeley, CA 94720-3102, USA;

    Department of Plant and Microbial Biology, University of California, 111 Koshland Hall No. 3102, Berkeley, CA 94720-3102, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物科学;
  • 关键词

  • 入库时间 2022-08-17 23:50:22

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