首页> 外文期刊>In silico biology: An international on computational biology >FASSM: Enhanced Function Association in Whole Genome Analysis Using Sequence and Structural Motifs
【24h】

FASSM: Enhanced Function Association in Whole Genome Analysis Using Sequence and Structural Motifs

机译:FASSM:使用序列和结构基序增强全基因组分析中的功能关联

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

We present an algorithm to detect remote homology, which arises through circular permutation and discontinuous domains. It is also helpful in detecting small domain proteins that are characterized by few conserved residues. The input to the algorithm is a set of multiply aligned protein sequence profiles. This method, coded as FASSM, examines the sequence conservation and positions of protein family signatures or motifs for the annotation of protein sequences and to facilitate the analysis of their domains. The overall coverage of FASSM is 93 in comparison to other validation tools like HMM and IMPALA. The method is especially useful for difficult relationships such as discontinuous domains during whole-genome surveys and is demonstrated to perform accurate family associations at sequence identities as low as 15.
机译:我们提出了一种算法来检测通过循环排列和不连续域产生的远程同源性。它还有助于检测以保守残基少为特征的小结构域蛋白。该算法的输入是一组多重比对的蛋白质序列谱。这种方法编码为 FASSM,用于检查蛋白质家族特征或基序的序列保守性和位置,以注释蛋白质序列并促进其结构域的分析。与 HMM 和 IMPALA 等其他验证工具相比,FASSM 的整体覆盖率为 93%。该方法对于全基因组调查期间的不连续结构域等困难关系特别有用,并被证明可以在低至 15% 的序列同一性下执行准确的家族关联。

著录项

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