Wallqvist A, Covell D G
Frederick Cancer Research and Development Center, National Cancer Institute, Science Applications International Corporation, Maryland 21702, USA.
Proteins. 1996 Aug;25(4):403-19. doi: 10.1002/prot.1.
We present a docking scheme that utilizes both a surface complementarity screen as well as an energetic criterion based on surface area burial. Twenty rigid enzyme/inhibitor complexes with known coordinate sets are arbitrarily separated and reassembled to an average all-atom rms (root mean square) deviation of 1.0 A from the native complexes. Docking is accomplished by a hierarchical search of geometrically compatible triplets of surface normals on each molecule. A pruned tree of possible bound configurations is built up using successive consideration of larger and larger triplets. The best scoring configurations are then passed through a free-energy screen where the lowest energy member is selected as the predicted native state. The free energy approximation is derived from observations of surface burial by atom pairs across the interface of known enzyme/inhibitor complexes. The occurrence of specific atom-atom surface burial, for a set of complexes with well-defined secondary structure both in the bound and unbound states, is parameterized to mimic the free energy of binding. The docking procedure guides the inhibitor into its native state using orientation and distance-dependent functions that reproduce the ideal model of free energies with an average rms deviation of 0.9 kcal/mol. For all systems studied, this docking procedure identifies a single, unique minimum energy configuration that is highly compatible with the native state.
我们提出了一种对接方案,该方案既利用了表面互补筛选,也利用了基于表面积埋藏的能量标准。将20个具有已知坐标集的刚性酶/抑制剂复合物任意分离,然后重新组装,使其与天然复合物的平均全原子均方根(rms,即根均方)偏差为1.0 Å。对接通过对每个分子上表面法线的几何兼容三元组进行分层搜索来完成。通过连续考虑越来越大的三元组,构建出可能的结合构型的剪枝树。然后将得分最高的构型通过自由能筛选,选择能量最低的成员作为预测的天然状态。自由能近似值来自对已知酶/抑制剂复合物界面上原子对表面埋藏情况的观察。对于一组在结合态和未结合态均具有明确二级结构的复合物,特定原子-原子表面埋藏的发生率被参数化,以模拟结合自由能。对接程序使用方向和距离相关函数将抑制剂引导至其天然状态,这些函数重现了自由能的理想模型,平均均方根偏差为0.9 kcal/mol。对于所有研究的系统,该对接程序都能识别出与天然状态高度兼容的单一、独特的最低能量构型。