Fachbereich Chemie and Zukunftskolleg, Universität Konstanz, Konstanz, Germany.
J Chem Inf Model. 2010 Sep 27;50(9):1669-81. doi: 10.1021/ci1000218.
The flexible superimposition of biologically active ligands is a crucial step in ligand-based drug design. Here we present pharmACOphore, a new approach for pairwise as well as multiple flexible alignment of ligands based on ant colony optimization (ACO; Dorigo, M.; Stützle, T. Ant Colony Optimization; MIT Press: Cambridge, MA, USA, 2004). An empirical scoring function is used, which describes ligand similarity by minimizing the distance of pharmacophoric features. The scoring function was parametrized on pairwise alignments of ligand sets for four proteins from diverse protein families (cyclooxygenase-2, cyclin-dependent kinase 2, factor Xa and peroxisome proliferator-activated receptor γ). The derived parameters were assessed with respect to pose prediction performance on the independent FlexS data set ( Lemmen, C.; Lengauer, T.; Klebe, G. J. Med. Chem. 1998, 41, 4502 - 4520) in exhausting pairwise alignments. Additionally, multiple flexible alignment experiments were carried out for the pharmacologically relevant targets trypsin and poly (ADP-ribose) polymerase (PARP). The results obtained show that the new procedure provides a robust and efficient way for the pairwise as well as multiple flexible alignment of small molecules.
生物活性配体的灵活叠加是基于配体的药物设计中的关键步骤。在这里,我们提出了 pharmACOphore,这是一种新的方法,可以基于蚁群优化(ACO;Dorigo,M.;Stützle,T. Ant Colony Optimization;MIT Press:Cambridge,MA,USA,2004)对配体进行成对和多个灵活的排列。使用经验评分函数,通过最小化药效团特征的距离来描述配体的相似性。评分函数是针对来自不同蛋白质家族的四个蛋白质(环氧化酶-2、细胞周期蛋白依赖性激酶 2、因子 Xa 和过氧化物酶体增殖物激活受体 γ)的配体集的成对排列进行参数化的。针对独立的 FlexS 数据集(Lemmen,C.;Lengauer,T.;Klebe,G. J. Med. Chem. 1998,41,4502-4520)中的构象预测性能评估了推导的参数,这些数据集进行了 exhaustive 成对排列。此外,还针对药理学相关靶标胰蛋白酶和多聚(ADP-核糖)聚合酶(PARP)进行了多次灵活的对齐实验。获得的结果表明,新方法为小分子的成对和多个灵活的排列提供了一种稳健且高效的方法。