Department of Chemistry, Faculty of Science, Erciyes University, 38039, Kayseri, Turkey.
J Mol Model. 2019 Jul 24;25(8):247. doi: 10.1007/s00894-019-4120-6.
We used a new descriptor called the Klopman index in our software of the "molecular comparative electron topology" (MCET) method to reduce the uncertainty resulting from the descriptors used in QSAR studies. The 3D pharmacophore model (3D-PhaM), which can demonstrate three-dimensional interaction between the ligand -receptor (L-R), is only possible with local reactive descriptors (LRD). The Klopman index, containing both Coulombic and frontier orbital and interactions of atoms of the ligand, is a good LRD. Molecular conformers having the best matching atoms with the template conformer can be selected as one of the most suitable spatial structures for interaction with the receptor, and the LRD values of the atoms in this conformer serve to determine 3D-PhaM. The 3D-PhaM of the N-benzyl benzamide derivatives, such as the melanogenesis inhibitor, was determined by ligand-based MCET and confirmed by the structure-based FlexX docking method. For compounds of the training set (42) and the external cross validation test set (6), the Q (0.862) and R (0.913) of the statistical parameters were calculated, respectively, and were checked by r (0.85) of the stringent validation.
我们在“分子比较电子拓扑学”(MCET)方法的软件中使用了一个新的描述符,称为 Klopman 指数,以减少 QSAR 研究中使用的描述符所带来的不确定性。3D 药效团模型(3D-PhaM)可以展示配体-受体(L-R)之间的三维相互作用,只能使用局部反应性描述符(LRD)。Klopman 指数包含了配体原子的库仑和前沿轨道以及相互作用,是一个很好的 LRD。具有与模板构象最佳匹配原子的分子构象可以被选为最适合与受体相互作用的空间结构之一,并且该构象中原子的 LRD 值用于确定 3D-PhaM。基于配体的 MCET 确定了 N-苄基苯甲酰胺衍生物(如黑色素生成抑制剂)的 3D-PhaM,并通过基于结构的 FlexX 对接方法进行了验证。对于训练集(42 个)和外部交叉验证测试集(6 个)的化合物,分别计算了统计参数 Q(0.862)和 R(0.913),并通过严格验证的 r(0.85)进行了检查。