首页> 外文期刊>Journal of Bioinformatics and Computational Biology >ASSESSING THE QUALITY OF THE HOMOLOGY-MODELED 3D STRUCTURES FROM ELECTROSTATIC STANDPOINT: TEST ON BACTERIAL NUCLEOSIDE MONOPHOSPHATE KINASE FAMILIES
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ASSESSING THE QUALITY OF THE HOMOLOGY-MODELED 3D STRUCTURES FROM ELECTROSTATIC STANDPOINT: TEST ON BACTERIAL NUCLEOSIDE MONOPHOSPHATE KINASE FAMILIES

机译:从静电立场评估同构模型的3D结构的质量:细菌核苷单磷酸激酶家族的试验

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In this study, we address the issue of performing meaningful pKa calculations using homology modeled three-dimensional (3D) structures and analyze the possibility of using the calculated pKa values to detect structural defects in the models. For this purpose, the 3D structure of each member of five large protein families of a bacterial nucleoside monophosphate kinases (NMPK) have been modeled by means of homology-based approach. Further, we performed pKa calculations for the each model and for the template X-ray structures. Each bacterial NMPK family used in the study comprised on average 100 members providing a pool of sequences and 3D models large enough for reliable statistical analysis. It was shown that pKa values of titratable groups, which are highly conserved within a family, tend to be conserved among the models too. We demonstrated that homology modeled structures with sequence identity larger than 35% and gap percentile smaller than 10% can beused for meaningful pKa calculations. In addition, it was found that some highly conserved titratable groups either exhibit large pKa fluctuations among the models or have pKa values shifted by several pH units with respect to the pKa calculated for the X-ray structure. We demonstrated that such case usually indicates structural errors associated with the model. Thus, we argue that pKa calculations can be used for assessing the quality of the 3D models by monitoring fluctuations of the pKa values for highly conserved titratable residues within large sets of homologous proteins.
机译:在这项研究中,我们解决了使用同源建模的三维(3D)结构执行有意义的pKa计算的问题,并分析了使用计算出的pKa值检测模型中结构缺陷的可能性。为此,已经通过基于同源性的方法对细菌核苷单磷酸激酶(NMPK)的五个大蛋白家族的每个成员的3D结构进行了建模。此外,我们对每个模型和模板X射线结构进行了pKa计算。研究中使用的每个细菌NMPK家族平均包含100个成员,提供足够大的序列库和3D模型以进行可靠的统计分析。结果表明,在一个家族中高度保守的可滴定基团的pKa值在这些模型中也趋于保守。我们证明了具有序列同一性大于35%和空位百分位数小于10%的同源性建模结构可用于有意义的pKa计算。此外,发现一些高度保守的可滴定基团在模型之间表现出较大的pKa波动,或者相对于针对X射线结构计算的pKa,pKa值偏移了多个pH单位。我们证明了这种情况通常表明与模型相关的结构错误。因此,我们认为pKa计算可用于通过监测大量同源蛋白中高度保守的可滴定残基的pKa值波动来评估3D模型的质量。

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