Shanahan H P, Thornton J M
European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD,UK.
Bioinformatics. 2004 Sep 22;20(14):2197-204. doi: 10.1093/bioinformatics/bth218. Epub 2004 Apr 8.
The solubility of a protein is crucial for its function and is therefore an evolutionary constraint. As the solubility of a protein is related to the distribution of polar and hydrophobic residues on its solvent accessible surface, such a constraint should provide a valuable insight into the evolution of protein surfaces. We examine how the surfaces of proteins have evolved by considering how the average hydrophobicities of patches of surface residues vary across homologous proteins. We derive distributions for the average hydrophobicity/philicity of surface patches at a residue-based level-which we refer to as the residue hydrophobic density. This is computed for a set of 28 monomeric proteins and their homologues. The resulting distributions are compared with a set of randomized sequences, with the same residue content.
We find that the patches, involving typically more than 10 residues, maintain a more hydrophilic surface than one would expect from a random substitution model, indicating a cooperative behaviour for these surfaces residues in terms of this single variable.
Additional plots for all of the proteins examined in this paper can be found at: http://www.ebi.ac.uk/~shanahan/PCon/index.html
蛋白质的溶解性对其功能至关重要,因此是一种进化限制。由于蛋白质的溶解性与其溶剂可及表面上极性和疏水残基的分布有关,这种限制应该能为蛋白质表面的进化提供有价值的见解。我们通过考虑表面残基片段的平均疏水性在同源蛋白质中的变化情况,来研究蛋白质表面是如何进化的。我们在基于残基的水平上得出了表面片段平均疏水性/亲水性的分布——我们将其称为残基疏水密度。这是针对一组28种单体蛋白质及其同源物计算得出的。将所得分布与一组具有相同残基含量的随机序列进行比较。
我们发现,通常涉及10多个残基的片段维持着比随机替换模型预期更亲水的表面,这表明就这个单一变量而言,这些表面残基存在协同行为。
本文中所有研究蛋白质的其他图表可在以下网址找到:http://www.ebi.ac.uk/~shanahan/PCon/index.html