用凸壳-比较分子场分析方法搜索几种生物活性肽的三维定量构效关系

Thy-Hou Lin, Jia-Jiunn Lin
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引用次数: 3

摘要

三维(3D)凸壳计算理论产生的一组18生物活性速激肽的结构。作为训练集处理的肽的数量是14,而作为测试集处理的肽的数量是4。计算一个结构集合中所有结构在所有船体顶点处的相同原子类型原子的频率。频率计数为非零的顶点原子被收集在一起作为一组通常暴露的基团。然后使用sybyl 6.6程序的FIT模块将这些通常暴露的原子作为一组对应,将结构集中的所有其他13个结构与一个共同模板对齐,该模板是该结构集中最有效的肽的结构。然后使用电荷为+1.0的C.3探针,通过比较分子场分析(CoMFA)模块分析每个排列的结构集。对于研究的73个结构集,相应的交叉验证r2值范围为- 0.99至0.57。sybyl 6.6包中的比较分子相似性指数分析(CoMSIA)模块也用于分析这些排列的结构集。虽然CoMSIA的结果与CoMFA的结果一致,但我们也发现,通过约束能量最小化来调整集合中结构的构象,然后使用确定的一些常见暴露基团的距离约束来进行约束分子动力学模拟,可以在一定程度上改善CoMFA的结果。这一结果进一步表明,凸壳- comfa是筛选该类分子生物活性构象的可行方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-dimensional quantitative structure–activity relationship for several bioactive peptides searched by a convex hull–comparative molecular field analysis approach

Three-dimensional (3D) convex hulls are computed for theoretically generated structures of a group of 18 bioactive tachykinin peptides. The number of peptides treated as a training set is 14, whereas that treated as a test set is four. The frequency of atoms of the same atomic type lying at the vertices of all the hulls computed for all the structures in a structural set is counted. Vertex atoms with non-zero frequency counted are collected together as a set of commonly exposed groups. These commonly exposed atoms are then treated as a set of correspondences for aligning all the other 13 structures in a structural set against a common template, which is the structure of the most potent peptide in the set using the FIT module of the sybyl 6.6 program. Each aligned structural set is then analyzed by the comparative molecular field analysis (CoMFA) module using the C.3 probe having a charge of +1.0. The corresponding cross-validated r2 values range from −0.99 to 0.57 for a number of 73 structural sets studied. The comparative molecular similarity indices analysis (CoMSIA) module within the sybyl 6.6 package is also used to analyze some of these aligned structural sets. Although the CoMSIA results are in accord with those of CoMFA, it is also found that the CoMFA results of several structural sets can be improved somewhat for conformations of the structures in the sets that are adjusted by constraint energy minimization and then constraint molecular dynamics simulation runs using distance constraints derived from some commonly exposed groups determined for them. This result further implies that the convex hull–CoMFA is a feasible approach to screen the bioactive conformations for molecules of this class.

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