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QXP:用于基于结构的药物设计的强大、快速计算机算法。

QXP: powerful, rapid computer algorithms for structure-based drug design.

作者信息

McMartin C, Bohacek R S

机构信息

Research Department, Novartis Pharmaceuticals Corporation, Summit, NJ 07901, USA.

出版信息

J Comput Aided Mol Des. 1997 Jul;11(4):333-44. doi: 10.1023/a:1007907728892.

Abstract

New methods for docking, template fitting and building pseudo-receptors are described. Full conformational searches are carried out for flexible cyclic and acyclic molecules. QXP (quick explore) search algorithms are derived from the method of Monte Carlo perturbation with energy minimization in Cartesian space. An additional fast search step is introduced between the initial perturbation and energy minimization. The fast search produces approximate low-energy structures, which are likely to minimize to a low energy. For template fitting, QXP uses a superposition force field which automatically assigns short-range attractive forces to similar atoms in different molecules. The docking algorithms were evaluated using X-ray data for 12 protein-ligand complexes. The ligands had up to 24 rotatable bonds and ranged from highly polar to mostly nonpolar. Docking searches of the randomly disordered ligands gave rms differences between the lowest energy docked structure and the energy-minimized X-ray structure, of less than 0.76 A for 10 of the ligands. For all the ligands, the rms difference between the energy-minimized X-ray structure and the closest docked structure was less than 0.4 A, when parts of one of the molecules which are in the solvent were excluded from the rms calculation. Template fitting was tested using four ACE inhibitors. Three ACE templates have been previously published. A single run using QXP generated a series of templates which contained examples of each of the three. A pseudo-receptor, complementary to an ACE template, was built out of small molecules, such as pyrrole, cyclopentanone and propane. When individually energy minimized in the pseudo-receptor, each of the four ACE inhibitors moved with an rms of less than 0.25 A. After random perturbation, the inhibitors were docked into the pseudo-receptor. Each lowest energy docked structure matched the energy-minimized geometry with an rms of less than 0.08 A. Thus, the pseudo-receptor shows steric and chemical complementarity to all four molecules. The QXP program is reliable, easy to use and sufficiently rapid for routine application in structure-based drug design.

摘要

本文描述了对接、模板拟合和构建伪受体的新方法。对柔性环状和非环状分子进行了全构象搜索。QXP(快速探索)搜索算法源自笛卡尔空间中能量最小化的蒙特卡罗微扰方法。在初始微扰和能量最小化之间引入了一个额外的快速搜索步骤。快速搜索产生近似的低能结构,这些结构可能会最小化到低能量状态。对于模板拟合,QXP使用一种叠加力场,该力场会自动为不同分子中的相似原子分配短程吸引力。使用12种蛋白质-配体复合物的X射线数据对对接算法进行了评估。这些配体具有多达24个可旋转键,极性范围从高极性到大多为非极性。对随机无序的配体进行对接搜索时,对于10个配体,最低能量对接结构与能量最小化的X射线结构之间的均方根偏差小于0.76 Å。对于所有配体,当在均方根计算中排除其中一个分子位于溶剂中的部分时,能量最小化的X射线结构与最接近的对接结构之间的均方根偏差小于0.4 Å。使用四种血管紧张素转换酶(ACE)抑制剂对模板拟合进行了测试。之前已发表了三种ACE模板。使用QXP进行一次运行就生成了一系列模板,其中包含这三种模板中的每一种的示例。由吡咯、环戊酮和丙烷等小分子构建了一个与ACE模板互补的伪受体。当这四种ACE抑制剂在伪受体中分别进行能量最小化时,每种抑制剂的均方根移动小于0.25 Å。随机微扰后,将抑制剂对接至伪受体中。每个最低能量对接结构与能量最小化几何结构的均方根匹配小于0.08 Å。因此,伪受体对所有四个分子都显示出空间和化学互补性。QXP程序可靠、易于使用且速度足够快,可用于基于结构的药物设计中的常规应用。

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