...
  • 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 >THE USE OF FUNCTIONAL DOMAINS TO IMPROVE TRANSMEMBRANE PROTEIN TOPOLOGY PREDICTION
【24h】

THE USE OF FUNCTIONAL DOMAINS TO IMPROVE TRANSMEMBRANE PROTEIN TOPOLOGY PREDICTION

机译：使用功能域改善跨膜蛋白拓扑学预测

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

Transmembrane proteins affect vital cellular functions and pathogenesis, and are a focus of drug design. It is difficult to obtain diffraction quality crystals to study transmembrane protein structure. Computational tools for transmembrane protein topology prediction fill in the gap between the abundance of transmembrane proteins and the scarcity of known membrane protein structures. Their prediction accuracy is still inadequate: TMHMM, the current state-of-the-art method, has less than 52% accuracy in topology prediction on one set of transmembrane proteins of known topology. Based on the observation that there are functional domains that occur preferentially internal or external to the membrane, we have extended the model of TMHMM to incorporate functional domains, using a probabilistic approach originally developed for computational gene finding. Our extension is better than TMHMM in predicting the topology of transmembrane proteins. As prediction of functional domain improves, our system's prediction accuracy will likely improve as well.
机译：跨膜蛋白影响重要的细胞功能和发病机理，并且是药物设计的重点。研究跨膜蛋白结构很难获得具有衍射质量的晶体。用于跨膜蛋白拓扑结构预测的计算工具填补了跨膜蛋白的丰度与已知膜蛋白结构的稀缺性之间的空白。它们的预测准确性仍然不足：当前的最新方法TMHMM在一组已知拓扑的跨膜蛋白的拓扑预测中的准确性不到52％。基于观察到有功能域优先出现在膜的内部或外部，我们使用最初为计算基因发现而开发的概率方法，将TMHMM模型扩展为包含功能域。我们的扩展在预测跨膜蛋白的拓扑结构方面优于TMHMM。随着功能域预测的提高，我们系统的预测准确性也可能会提高。

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