Lemmen C, Lengauer T
German National Research Center for Information Technology (GMD), Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, Germany.
J Comput Aided Mol Des. 1997 Jul;11(4):357-68. doi: 10.1023/a:1007959729800.
We present an efficient algorithm for the structural alignment of medium-sized organic molecules. The algorithm has been developed for applications in 3D QSAR and in receptor modeling. The method assumes one of the molecules, the reference ligand, to be presented in the conformation that it adopts inside the receptor pocket. The second molecule, the test ligand, is considered to be flexible, and is assumed to be given in an arbitrary low-energy conformation. Ligand flexibility is modeled by decomposing the test ligand into molecular fragments, such that ring systems are completely contained in a single fragment. Conformations of fragments and torsional angles of single bonds are taken from a small finite set, which depends on the fragment and bond, respectively. The algorithm superimposes a distinguished base fragment of the test ligand onto a suitable region of the reference ligand and then attaches the remaining fragments of the test ligand in a step-by-step fashion. During this process, a scoring function is optimized that encompasses bonding terms and terms accounting for steric overlap as well as for similarity of chemical properties of both ligands. The algorithm has been implemented in the FLEXS system. To validate the quality of the produced results, we have selected a number of examples for which the mutual superposition of two ligands is experimentally given by the comparison of the binding geometries known from the crystal structures of their corresponding protein-ligand complexes. On more than two-thirds of the test examples the algorithm produces rms deviations of the predicted versus the observed conformation of the test ligand below 1.5 A. The run time of the algorithm on a single problem instance is a few minutes on a common-day workstation. The overall goal of this research is to drastically reduce run times, while limiting the inaccuracies of the model and the computation to a tolerable level.
我们提出了一种用于中型有机分子结构比对的高效算法。该算法是为三维定量构效关系(3D QSAR)和受体建模应用而开发的。该方法假设其中一个分子,即参考配体,以其在受体口袋内所采用的构象呈现。第二个分子,即测试配体,被认为是柔性的,并假设以任意低能量构象给出。通过将测试配体分解为分子片段来模拟配体柔性,使得环系统完全包含在单个片段中。片段的构象和单键的扭转角分别取自一个小的有限集合,该集合取决于片段和键。该算法将测试配体的一个独特的基础片段叠加到参考配体的合适区域上,然后逐步连接测试配体的其余片段。在此过程中,优化一个评分函数,该函数包括键合项以及考虑空间重叠和两个配体化学性质相似性的项。该算法已在FLEXS系统中实现。为了验证所产生结果的质量,我们选择了一些示例,通过比较其相应蛋白质 - 配体复合物晶体结构中已知的结合几何结构,实验给出了两个配体的相互叠加情况。在超过三分之二的测试示例中,该算法产生的测试配体预测构象与观察构象的均方根偏差低于1.5埃。在普通工作日的工作站上,该算法处理单个问题实例的运行时间为几分钟。本研究的总体目标是大幅减少运行时间,同时将模型和计算的不准确性限制在可容忍的水平。