Jiang F, Kim S H
Graduate Goup in Biophysics, University of California, Berkeley 94720.
J Mol Biol. 1991 May 5;219(1):79-102. doi: 10.1016/0022-2836(91)90859-5.
Molecular recognition is achieved through the complementarity of molecular surface structures and energetics with, most commonly, associated minor conformational changes. This complementarity can take many forms: charge-charge interaction, hydrogen bonding, van der Waals' interaction, and the size and shape of surfaces. We describe a method that exploits these features to predict the sites of interactions between two cognate molecules given their three-dimensional structures. We have developed a "cube representation" of molecular surface and volume which enables us not only to design a simple algorithm for a six-dimensional search but also to allow implicitly the effects of the conformational changes caused by complex formation. The present molecular docking procedure may be divided into two stages. The first is the selection of a population of complexes by geometric "soft docking", in which surface structures of two interacting molecules are matched with each other, allowing minor conformational changes implicitly, on the basis of complementarity in size and shape, close packing, and the absence of steric hindrance. The second is a screening process to identify a subpopulation with many favorable energetic interactions between the buried surface areas. Once the size of the subpopulation is small, one may further screen to find the correct complex based on other criteria or constraints obtained from biochemical, genetic, and theoretical studies, including visual inspection. We have tested the present method in two ways. First is a control test in which we docked the components of a molecular complex of known crystal structure available in the Protein Data Bank (PDB). Two molecular complexes were used: (1) a ternary complex of dihydrofolate reductase, NADPH and methotrexate (3DFR in PDB) and (2) a binary complex of trypsin and trypsin inhibitor (2PTC in PDB). The components of each complex were taken apart at an arbitrary relative orientation and then docked together again. The results show that the geometric docking alone is sufficient to determine the correct docking solutions in these ideal cases, and that the cube representation of the molecules does not degrade the docking process in the search for the correct solution. The second is the more realistic experiment in which we docked the crystal structures of uncomplexed molecules and then compared the structures of docked complexes with the crystal structures of the corresponding complexes. This is to test the capability of our method in accommodating the effects of the conformational changes in the binding sites of the molecules in docking.(ABSTRACT TRUNCATED AT 400 WORDS)
分子识别是通过分子表面结构和能量的互补性来实现的,最常见的情况还伴随着微小的构象变化。这种互补性可以有多种形式:电荷-电荷相互作用、氢键、范德华相互作用以及表面的大小和形状。我们描述了一种利用这些特征来预测两个同源分子三维结构之间相互作用位点的方法。我们开发了一种分子表面和体积的“立方体表示法”,这不仅使我们能够设计一种用于六维搜索的简单算法,还能隐含地考虑由复合物形成引起的构象变化的影响。目前的分子对接程序可分为两个阶段。第一阶段是通过几何“软对接”选择一组复合物,即两个相互作用分子的表面结构相互匹配,基于大小和形状的互补性、紧密堆积以及不存在空间位阻,隐含地允许微小的构象变化。第二阶段是一个筛选过程,以识别在埋藏表面积之间具有许多有利能量相互作用的亚组。一旦亚组的规模较小,就可以根据从生化、遗传和理论研究(包括目视检查)中获得的其他标准或约束进一步筛选以找到正确的复合物。我们通过两种方式测试了目前的方法。第一种是对照测试,我们对接了蛋白质数据库(PDB)中已知晶体结构的分子复合物的组分。使用了两种分子复合物:(1)二氢叶酸还原酶、NADPH和甲氨蝶呤的三元复合物(PDB中的3DFR)以及(2)胰蛋白酶和胰蛋白酶抑制剂的二元复合物(PDB中的2PTC)。每个复合物的组分以任意相对取向拆开,然后再次对接在一起。结果表明,在这些理想情况下,仅几何对接就足以确定正确的对接解决方案,并且分子的立方体表示法在寻找正确解决方案的对接过程中不会降低效率。第二种是更实际的实验,我们对接未复合分子的晶体结构,然后将对接复合物的结构与相应复合物的晶体结构进行比较。这是为了测试我们的方法在对接过程中适应分子结合位点构象变化影响的能力。(摘要截选至400字)