首页> 外文会议>International Symposium on Bioinformatics Research and Applications >Relationship between Amino Acids Sequences and Protein Structures: Folding Patterns and Sequence Patterns
【24h】

Relationship between Amino Acids Sequences and Protein Structures: Folding Patterns and Sequence Patterns

机译:氨基酸序列与蛋白质结构的关系:折叠图案和序列图案

获取原文

摘要

Two crucial problems of protein folding are considered here. First, the hypothesis, that all proteins with an identical SSS, regardless of degree of sequence identity among sequences have common sequence pattern. To find conserved positions and create a sequences pattern a new algorithm of the structure-based multiple sequences alignment was developed. An essential feature of the algorithm is that the alignment is based on residues that form hydrogen bond contacts between strands in protein structures. It was shown that SSS-specific sequence patterns have very high sensitivity for identifying protein structure and can be used for SSS prediction without any prior structural information. Second, the rules by which secondary structure elements - beta strands come together into supersecondary structure (SSS) - folding patterns. Knowledge of these patterns that uncover the spatial arrangement of strands will likely prove useful in protein structure prediction.
机译:这里考虑了蛋白质折叠的两个关键问题。首先,假设,即所有具有相同SSS的蛋白质,无论序列之间的序列同一性如何具有共同的序列图案。为了寻找保守位置并创建序列模式,开发了基于结构的多个序列对齐的新算法。算法的基本特征是对准基于在蛋白质结构中的股线之间形成氢键接触的残基。结果表明,对于识别蛋白质结构,SSS特定的序列模式具有非常高的灵敏度,并且可以在没有任何先前结构信息的情况下用于SSS预测。其次,二级结构元素 - β股的规则将融合成超级结构(SSS) - 折叠模式。对揭开链的空间排列的这些模式的知识可能在蛋白质结构预测中证明是有用的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号