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Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

机译:通过预测的连续二级结构鉴定经历构象变化的序列区域

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摘要

Motivation: Conformational flexibility is essential to the function of many proteins, e.g. catalytic activity. To assist efforts in determining and exploring the functional properties of a protein, it is desirable to automatically identify regions that are prone to undergo conformational changes. It was recently shown that a probabilistic predictor of continuum secondary structure is more accurate than categorical predictors for structurally ambivalent sequence regions, suggesting that such models are suited to characterize protein flexibility.
机译:动机:构象柔韧性对于许多蛋白质的功能至关重要,例如催化活性。为了协助确定和探索蛋白质的功能特性,需要自动识别易于发生构象变化的区域。最近显示,连续二级结构的概率预测子比结构结构矛盾序列区域的分类预测子更准确,表明这种模型适合表征蛋白质的柔性。

著录项

  • 来源
    《Bioinformatics》 |2006年第15期|1809-1814|共6页
  • 作者单位

    School of Information Technology and Electrical Engineering QLD 4072 The University of QueenslandAustralia;

    Institute for Molecular Bioscience QLD 4072 The University of QueenslandAustralia;

  • 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
  • 关键词

  • 入库时间 2022-08-18 01:14:34

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