An article entitled “Computer-assisted methods for molecular structure elucidation: realizing a spectroscopist’s dream” has been published online at the Journal of Cheminformatics (Journal of Cheminformatics 2009, 1:3). This was a review article of what’s possible with computer assisted structure elucidation and in particular focused on the ACD/Structure Elucidator software package I was involved with during my tenure at ACD/Labs.  An outline of the article is provided below.

Computer-assisted methods for molecular structure elucidation: realizing a spectroscopist’s dream

Mikhail Elyashberg, Kirill Blinov, Sergey Molodtsov, Yegor Smurnyy, Antony J Williams and Tatiana Churanova

Journal of Cheminformatics 2009, 1:3doi:10.1186/1758-2946-1-3

Published: 17 March 2009

Abstract (provisional)

Background

This article coincides with the 40 year anniversary of the first published works devoted to the creation of algorithms for computer-aided structure elucidation (CASE). The general principles on which CASE methods are based will be reviewed and the present state of the art in this field will be described using, as an example, the expert system Structure Elucidator.

Results

The developers of CASE systems have been forced to overcome many obstacles hindering the development of a software application capable of drastically reducing the time and effort required to determine the structures of newly isolated organic compounds. Large complex molecules of up to 100 or more skeletal atoms with topological peculiarity can be quickly identified using the expert system Structure Elucidator based on spectral data. Logical analysis of 2D NMR data frequently allows for the detection of the presence of COSY and HMBC correlations of “nonstandard” length. Fuzzy structure generation provides a possibility to obtain the correct solution even in those cases when an unknown number of nonstandard correlations of unknown length are present in the spectra. The relative stereochemistry of big rigid molecules containing many stereocenters can be determined using the StrucEluc system and NOESY/ROESY 2D NMR data for this purpose.

Conclusions

The StrucEluc system continues to be developed in order to expand the general applicability, provide improved workflows, usability of the system and increased reliability of the results. It is expected that expert systems similar to that described in this paper will receive increasing acceptance in the next decade and will ultimately be integrated directly to analytical instruments for the purpose of organic analysis. Work in this direction is in progress. In spite of the fact that many difficulties have already been overcome to deliver on the spectroscopist’s dream of “fully automated structure elucidation” there is still work to do. Nevertheless, as the efficiency of expert systems is enhanced the solution of increasingly complex structural problems will be achievable.

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