Elyashberg Mikhail E, Blinov Kirill A, Williams Antony J, Molodtsov Sergey G, Martin Gary E
Advanced Chemistry Development, Moscow Department, 6 Akademik Bakulev Street, Moscow 117513, Russian Federation.
J Chem Inf Model. 2006 Jul-Aug;46(4):1643-56. doi: 10.1021/ci050469j.
Expert systems for spectroscopic molecular structure elucidation have been developed since the mid-1960s. Algorithms associated with the structure generation process within these systems are deterministic; that is, they are based on graph theory and combinatorial analysis. A series of expert systems utilizing 2D NMR spectra have been described in the literature and are capable of determining the molecular structures of large organic molecules including complex natural products. Recently, an opinion was expressed in the literature that these systems would fail when elucidating structures containing more than 30 heavy atoms. A suggestion was put forward that stochastic algorithms for structure generation would be necessary to overcome this shortcoming. In this article, we describe a comprehensive investigation of the capabilities of the deterministic expert system Structure Elucidator. The results of performing the structure elucidation of 250 complex natural products with this program were studied and generalized. The conclusion is that 2D NMR deterministic expert systems are certainly capable of elucidating large structures (up to about 100 heavy atoms) and can deal with the complexities associated with both poor and contradictory spectral data.
自20世纪60年代中期以来,人们一直在开发用于光谱分子结构解析的专家系统。这些系统中与结构生成过程相关的算法是确定性的;也就是说,它们基于图论和组合分析。文献中已经描述了一系列利用二维核磁共振谱的专家系统,这些系统能够确定包括复杂天然产物在内的大型有机分子的分子结构。最近,文献中有一种观点认为,当解析含有超过30个重原子的结构时,这些系统将会失效。有人提出,为了克服这一缺点,需要采用随机算法来生成结构。在本文中,我们描述了对确定性专家系统Structure Elucidator功能的全面研究。研究并归纳了使用该程序对250种复杂天然产物进行结构解析的结果。结论是,二维核磁共振确定性专家系统肯定能够解析大型结构(多达约100个重原子),并且能够处理与较差和相互矛盾的光谱数据相关的复杂性。