Genomics Research Center, Academia Sinica, Taipei 115, Taiwan;Institute of Biomedical Informatics, National Yang-Ming University, Taipei 11221, Taiwan; andBioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei 115, Taiwan.
Genomics Research Center, Academia Sinica, Taipei 115, Taiwan;
Proc Natl Acad Sci U S A. 2014 Jul 1;111(26):E2656-65. doi: 10.1073/pnas.1401131111. Epub 2014 Jun 17.
Natural antibodies are frequently elicited to recognize diverse protein surfaces, where the sequence features of the epitopes are frequently indistinguishable from those of nonepitope protein surfaces. It is not clearly understood how the paratopes are able to recognize sequence-wise featureless epitopes and how a natural antibody repertoire with limited variants can recognize seemingly unlimited protein antigens foreign to the host immune system. In this work, computational methods were used to predict the functional paratopes with the 3D antibody variable domain structure as input. The predicted functional paratopes were reasonably validated by the hot spot residues known from experimental alanine scanning measurements. The functional paratope (hot spot) predictions on a set of 111 antibody-antigen complex structures indicate that aromatic, mostly tyrosyl, side chains constitute the major part of the predicted functional paratopes, with short-chain hydrophilic residues forming the minor portion of the predicted functional paratopes. These aromatic side chains interact mostly with the epitope main chain atoms and side-chain carbons. The functional paratopes are surrounded by favorable polar atomistic contacts in the structural paratope-epitope interfaces; more that 80% these polar contacts are electrostatically favorable and about 40% of these polar contacts form direct hydrogen bonds across the interfaces. These results indicate that a limited repertoire of antibodies bearing paratopes with diverse structural contours enriched with aromatic side chains among short-chain hydrophilic residues can recognize all sorts of protein surfaces, because the determinants for antibody recognition are common physicochemical features ubiquitously distributed over all protein surfaces.
天然抗体经常被诱导来识别不同的蛋白质表面,其中表位的序列特征通常与非表位蛋白质表面无法区分。目前还不清楚抗体的变区是如何识别序列上无特征的表位,以及一个具有有限变体的天然抗体库如何能够识别宿主免疫系统外来的看似无限的蛋白质抗原。在这项工作中,使用计算方法来预测具有 3D 抗体可变结构域作为输入的功能性变区。通过已知的实验丙氨酸扫描测量的热点残基,对预测的功能性变区进行了合理的验证。对 111 个抗体-抗原复合物结构的一组功能性变区(热点)预测表明,芳香族,主要是酪氨酸,侧链构成了预测功能性变区的主要部分,短链亲水性残基构成了预测功能性变区的次要部分。这些芳香族侧链主要与表位主链原子和侧链碳原子相互作用。功能性变区在结构变区-表位界面中被周围有利的极性原子接触所包围;超过 80%的这些极性接触是静电有利的,大约 40%的这些极性接触在界面上形成直接氢键。这些结果表明,一个具有不同结构轮廓的抗体库,其中富含短链亲水性残基中的芳香族侧链,承载着变区,可以识别各种蛋白质表面,因为抗体识别的决定因素是普遍分布于所有蛋白质表面的常见物理化学特征。