...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Bioinformatics and Computational Biology >ALIGNING MULTIPLE PROTEIN STRUCTURES BY DETERMINISTIC ANNEALING
【24h】

ALIGNING MULTIPLE PROTEIN STRUCTURES BY DETERMINISTIC ANNEALING

机译：通过确定性退火处理多种蛋白质结构

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Protein structure alignment plays a key role in protein structure prediction and fold family classification. An efficient method for multiple protein structure alignment in a mathematical manner is presented, based on deterministic annealing technique. The alignment problem is mapped onto a nonlinear continuous optimization problem (NCOP) with common consensus chain, matching assignment matrices and atomic coordinates as variables. At each step in the annealing procedure, the NCOP is decomposed into as many subproblems as the number of protein chains, each of which is actually an independent pairwise structure alignment between a protein chain and the consensus chain and hence can be efRciently solved by the parallel computation technique. The proposed method is robust with respect to choice of iteration parameters for a wide range of proteins, and performs well in both multiple and pairwise structure alignment cases, compared with existing alignment methods.
机译：蛋白质结构比对在蛋白质结构预测和折叠家族分类中起关键作用。基于确定性退火技术，提出了一种以数学方式进行多种蛋白质结构比对的有效方法。将对齐问题映射到具有共同共识链，匹配分配矩阵和原子坐标作为变量的非线性连续优化问题（NCOP）。在退火过程的每个步骤中，NCOP都会分解为与蛋白质链数一样多的子问题，每个子问题实际上都是蛋白质链和共有链之间的独立的成对结构对齐，因此可以通过并行操作有效地解决计算技术。相对于现有的比对方法，所提出的方法在选择多种蛋白质的迭代参数方面具有鲁棒性，并且在多重和成对结构比对情况下均表现良好。

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