首页> 美国卫生研究院文献>Bioinformation >HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition
【2h】

HORIBALFRE program: Higher Order Residue Interactions Based ALgorithm for Fold REcognition

机译:HORIBALFRE程序:基于高阶残基相互作用的折叠识别算法

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Understanding the functional and structural implication of a protein encoded in novel genes using function association or fold recognition approaches remains to be a challenging task in the current era of genomes, metagenomes and personal genomes. In an attempt to enhance potential-based fold-recognition methods in recognizing remote homology between proteins, we propose a new approach “Higher Order Residue Interaction Based ALgorithm for Fold REcognition (HORIBALFRE)”. Higher order residue interactions refer to a class of interactions in protein structures mediated by Cα or Cβ atoms within a pre-defined distance cut-off. Higher order residue interactions (pairwise, triplet and quadruplet interactions) play a vital role in attaining the stable conformation of a protein structure. In HORIBALFRE, we incorporated the potential contributions from two body (pairwise) interactions, three body (triplet interactions) and four-body (quadruple interaction) interactions, to implement a new fold recognition algorithm. Core of HORIBALFRE algorithm includes the potentials generated from a library of protein structure derived from manually curated CAMPASS database of structure based sequence alignment. We used Fischer's dataset, with 68 templates and 56 target sequences, derived from SCOP database and performed one-against-all sequence alignment using TCoffee. Various potentials were derived using custom scripts and these potentials were incorporated in the HORIBALFRE algorithm. In this manuscript, we report outline of a novel fold recognition algorithm and initial results. Our results show that inclusion of quadruplet class of higher order residue interaction improves fold recognition.
机译:在当今的基因组,元基因组和个人基因组时代,使用功能关联或折叠识别方法来理解新基因中编码的蛋白质的功能和结构含义仍然是一项艰巨的任务。为了增强识别蛋白质之间远程同源性的基于势能的折叠识别方法,我们提出了一种新方法“基于高阶残基相互作用的折叠识别算法(HORIBALFRE)”。高阶残基相互作用是指在预定的距离界限内,由Cα或Cβ原子介导的蛋白质结构中的一类相互作用。高阶残基相互作用(成对,三联体和四联体相互作用)在获得蛋白质结构的稳定构象方面起着至关重要的作用。在HORIBALFRE中,我们结合了两个身体(成对)交互,三个身体(三胞胎交互)和四个身体(四重交互)交互的潜在贡献,以实现新的折叠识别算法。 HORIBALFRE算法的核心包括从蛋白质结构文库中产生的电势,该文库来自基于结构的序列比对的人工管理的CAMPASS数据库。我们使用了来自SCOP数据库的,具有68个模板和56个目标序列的Fischer数据集,并使用TCoffee对所有序列进行了一对一的比对。使用自定义脚本可导出各种电势,并将这些电势合并到HORIBALFRE算法中。在这份手稿中,我们报告了一种新颖的折叠识别算法的概述和初步结果。我们的结果表明,包含四联体类的高阶残基相互作用可提高折叠识别度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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