通过分子表面的面中心表示进行分子识别

Shuo Liang Lin , Ruth Nussinov
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引用次数: 33

摘要

虽然现在经常开发对接方法,但对分子表面表示的仔细检查在很大程度上被忽视了,这是他们必须采用的。这里有两个重要的方面需要解决:表面表示如何量化表面互补性,以及是否使用最小表示。虽然互补性是分子识别中公认的概念,但其量化计算并不简单,需要验证。最小表示很重要,因为对接搜索的构象空间的范围和/或维度随着表面表示的大小而迅速增长,这使得它在大分子、不完美的界面和结合中发生的构象变化时尤其昂贵。对于对接方法来说,确定它采用准确、简明的分子表面表示是至关重要的。在这里,我们采用Lin等人1开发的分子表面的面中心表示来研究分子界面的互补性。我们研究各种各样的配合物:蛋白质/小配体,寡聚链-链界面,蛋白酶/蛋白质抑制剂,抗体/抗原,NMR结构,以及由未结合的,单独解决的结构构建的配合物。互补性是在不同的还原水平上进行检查的,因此粗糙度,表面表示,从描述亚原子细节到非常稀疏的,只捕获表面上的突出特征。我们的分子识别模拟表明,在所有情况下,都获得了高质量的界面互补性。我们表明,该表示在监测互补性方面是强大的,无论是在整体上,还是在保持一小部分面中心的选定子集中,并且能够以高保真度和效率支持分子对接。此外,我们还证明了分子结构中外显氢的存在可能不利于对接,并且不同类别的蛋白质复合物和可能具有轻微不同程度的界面互补性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular recognition via face center representation of a molecular surface

While docking methodologies are now frequently being developed, a careful examination of the molecular surface representation, which necessarily is employed by them, is largely overlooked. There are two important aspects here that need to be addressed: how the surface representation quantifies surface complementarity, and whether a minimal representation is employed. Although complementarity is an accepted concept regarding molecular recognition, its quantification for computation is not trivial, and requires verification. A minimal representation is important because docking searches a conformational space whose extent and/ or dimensionality grows quickly with the size of surface representation, making it especially costly with big molecules, imperfect interfaces, and changes of conformation that occur in binding. It is essential for a docking methodology to establish that it employs an accurate, concise molecular surface representation.

Here we employ the face center representation of molecular surface, developed by Lin et al.,1 to investigate the complementarity of molecular interface. We study a wide variety of complexes: protein/small ligand, oligomeric chain-chain interfaces, proteinase/protein inhibitors, antibody/antigen, NMR structures, and complexes built from unbound, separately solved structures. The complementarity is examined at different levels of reduction, and hence roughness, of the surface representation, from one that describes subatomic details to a very sparse one that captures only the prominent features on the surface. Our simulation of molecular recognition indicates that in all cases, quality interface complementarity is obtained. We show that the representation is powerful in monitoring the complementarity either in its entirety, or in selected subsets that maintain a fraction of the face centers, and is capable of supporting molecular docking at high fidelity and efficiency. Furthermore, we also demonstrate that the presence of explicit hydrogens in molecular structures may not benefit docking, and that the different classes of protein complexes and may hold slightly different degrees of interface complementarity.

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