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利用修饰序列谱比对进行蛋白质-蛋白质复合物三维结构的基于同源性的建模。

Homology-based modeling of 3D structures of protein-protein complexes using alignments of modified sequence profiles.

作者信息

Kundrotas Petras J, Lensink Marc F, Alexov Emil

机构信息

Computational Biophysics and Bioinformatics, Department of Physics, Clemson University, Clemson, SC 29634, United States.

出版信息

Int J Biol Macromol. 2008 Aug 15;43(2):198-208. doi: 10.1016/j.ijbiomac.2008.05.004. Epub 2008 May 21.

Abstract

Customary practice in predicting 3D structures of protein-protein complexes is employment of various docking methods when the structures of separate monomers are known a priori. The alternative approach, i.e. the template-based prediction with pure sequence information as a starting point, is still considered as being inferior mostly due to presumption that the pool of available structures of protein-protein complexes, which can serve as putative templates, is not sufficiently large. Recently, however, several labs have developed databases containing thousands of 3D structures of protein-protein complexes, which enable statistically reliable testing of homology-based algorithms. In this paper we report the results on homology-based modeling of 3D structures of protein complexes using alignments of modified sequence profiles. The method, called HOMology-BAsed COmplex Prediction (HOMBACOP), has two distinctive features: (I) extra weight on aligning interfacial residues in the dynamical programming algorithm, and (II) increased gap penalties for the interfacial segments. The method was tested against our recently developed ProtCom database and against the Boston University protein-protein BENCHMARK. In both cases, models generated were compared to the models built on basis of customarily protein structure initiative (PSI)-BLAST sequence alignments. It was found that existence of homologous (by the means of PSI-BLAST) templates (44% of cases) enables both methods to produce models of good quality, with the profiles method outperforming the PSI-BLAST models (with respect to the percentage of correctly predicted residues on the complex interface and fraction of native interfacial contacts). The models were evaluated according to the CAPRI assessment criteria and about two thirds of the models were found to fall into acceptable and medium-quality categories. The same comparison of a larger set of 463 protein complexes showed again that profiles generate better models. We further demonstrate, using our ProtCom database, the suitability of the profile alignment algorithm in detecting remote homologues between query and template sequences, where the PSI-BLAST method fails.

摘要

预测蛋白质 - 蛋白质复合物三维结构的常规做法是,当已知各个单体的结构时,采用各种对接方法。另一种方法,即以纯序列信息为起点的基于模板的预测,仍被认为较差,主要原因是假定可作为假定模板的蛋白质 - 蛋白质复合物可用结构库不够大。然而,最近有几个实验室开发了包含数千个蛋白质 - 蛋白质复合物三维结构的数据库,这使得基于同源性的算法能够进行统计上可靠的测试。在本文中,我们报告了使用修饰序列谱比对进行蛋白质复合物三维结构同源性建模的结果。该方法称为基于同源性的复合物预测(HOMBACOP),有两个显著特点:(I)在动态规划算法中对界面残基比对给予额外权重,以及(II)对界面片段增加空位罚分。该方法针对我们最近开发的ProtCom数据库以及波士顿大学蛋白质 - 蛋白质基准进行了测试。在这两种情况下,将生成的模型与基于常规蛋白质结构倡议(PSI)-BLAST序列比对构建的模型进行了比较。结果发现,存在同源(通过PSI - BLAST手段)模板(44%的情况)时,两种方法都能生成高质量模型,其中谱方法优于PSI - BLAST模型(就复合物界面上正确预测残基的百分比和天然界面接触分数而言)。根据CAPRI评估标准对模型进行了评估,发现约三分之二的模型属于可接受和中等质量类别。对一组更大的463个蛋白质复合物进行的相同比较再次表明,谱能生成更好的模型。我们进一步使用我们的ProtCom数据库证明,在PSI - BLAST方法失败的情况下,谱比对算法在检测查询序列和模板序列之间的远缘同源物方面的适用性。

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