...
  • 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 >PREDICTING PROTEIN FOLDING RATE FROM AMINO ACID SEQUENCE
【24h】

PREDICTING PROTEIN FOLDING RATE FROM AMINO ACID SEQUENCE

机译：从氨基酸序列预测蛋白质折叠率

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

Predicting protein folding rate from amino acid sequence is an important challenge in computationalnand molecular biology. Over the past few years, many methods have been developed to reflect thencorrelation between the folding rates and protein structures and sequences. In this paper, we presentnan effective method, a combined neural network – genetic algorithm approach, to predict proteinnfolding rates only from amino acid sequences, without any explicit structural information. Thenoriginality of this paper is that, for the first time, it tackles the effect of sequence order. Thenproposed method provides a good correlation between the predicted and experimental folding rates.nThe correlation coefficient is 0.80 and the standard error is 2.65 for 93 proteins, the largest suchndatabases of proteins yet studied, when evaluated with leave-one-out jackknife test. The comparativenresults demonstrate that this correlation is better than most of other methods, and suggest thenimportant contribution from sequence order information to the determination of protein folding rates.
机译：从氨基酸序列预测蛋白质折叠速率是计算和分子生物学中的重要挑战。在过去的几年中，已经开发出许多方法来反映折叠率与蛋白质结构和序列之间的相关性。在本文中，我们提出了一种有效的方法，一种组合的神经网络-遗传算法方法，只能从氨基酸序列预测蛋白质的折叠速度，而没有任何明确的结构信息。本文的起源是，它首次解决了序列顺序的影响。所提出的方法在预测折叠率和实验折叠率之间提供了良好的相关性。n采用单刀折刀测试法评估的93种蛋白质的相关系数为0.80，标准误为2.65，这是迄今为止研究的最大蛋白质数据库。比较结果表明，这种相关性比大多数其他方法要好，并且表明从序列顺序信息到确定蛋白质折叠率的重要贡献。

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