Title
Are Deterministic Expert Systems for Computer-Assisted Structure Elucidation Obsolete?.
Abstract
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.
Year
DOI
Venue
2006
10.1021/ci050469j
JOURNAL OF CHEMICAL INFORMATION AND MODELING
Keywords
Field
DocType
graph theory,molecular structure,expert system,structure elucidation
Stochastic algorithms,Graph theory,Computer science,Expert system,Spectral data,Spectrum analysis,Bioinformatics,Combinatorial analysis,Organic molecules
Journal
Volume
Issue
ISSN
46
4
1549-9596
Citations 
PageRank 
References 
2
0.43
0
Authors
5
Name
Order
Citations
PageRank
Mikhail E. Elyashberg1239.02
Kirill A. Blinov22910.37
Antony J. Williams313120.30
Sergey G. Molodtsov4187.72
Gary E. Martin5177.63