Harris Stephanie E, Orpen A Guy, Bruno Ian J, Taylor Robin
School of Chemistry, University of Bristol, Bristol BS8 1TS, UK.
J Chem Inf Model. 2005 Nov-Dec;45(6):1727-48. doi: 10.1021/ci0500785.
Metal-ligand (M-L) bond lengths for a range of ligands (carboxylates, chlorides, pyridines, water, tertiary phosphines, and alkenes) and a variety of metals have been retrieved from the Cambridge Structural Database, CSD. Analysis of the factors which affect M-L bond lengths (for example, ligand coordination mode, oxidation state, metal coordination number and geometry, spin and Jahn-Teller effects, and ligand trans to M-L bond) shows that it is generally possible to subdivide the M-L data sets systematically to obtain better defined, unimodal, bond length distributions with means and sample standard deviations (SSDs) which reflect the nature of the bond in question. Typically, the SSDs for the M-L data sets can be reduced to 0.04-0.05 A by these methods. This work is an extension to tables of bond lengths in organometallic compounds and coordination complexes published in 1989. The importance of the factors which affect M-L bond lengths for particular metal-ligand groups are discussed. From the case studies reported, an algorithm is proposed by which compilation of a library of molecular geometry for metal complexes may be automated. The points that need to be considered to produce such a molecular library from the data stored in the CSD are discussed. The development of such a library would allow users to retrieve chemically well-defined geometric data rapidly and accurately. This should be of use, for example, to crystallographers and molecular modelers.
一系列配体(羧酸盐、氯化物、吡啶、水、叔膦和烯烃)与多种金属的金属-配体(M-L)键长已从剑桥结构数据库(CSD)中检索出来。对影响M-L键长的因素(例如,配体配位模式、氧化态、金属配位数和几何构型、自旋和 Jahn-Teller 效应以及与 M-L 键处于反位的配体)进行分析表明,通常可以对 M-L 数据集进行系统细分,以获得定义更明确、单峰的键长分布,其均值和样本标准差(SSD)能够反映相关键的性质。通常,通过这些方法,M-L 数据集的 SSD 可以降至 0.04 - 0.05 Å。这项工作是对 1989 年发表的有机金属化合物和配位络合物键长表的扩展。讨论了影响特定金属-配体基团 M-L 键长的因素的重要性。根据所报道的案例研究,提出了一种算法,通过该算法可以实现金属配合物分子几何结构库的自动化编译。讨论了从 CSD 中存储的数据生成这样一个分子库需要考虑的要点。这样一个库的开发将允许用户快速准确地检索化学定义明确的几何数据。例如,这对晶体学家和分子建模师应该会有帮助。