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A new approach to computer-aided molecular structure elucidation: the expert system Structure Elucidator

โœ Scribed by M.E Elyashberg; K.A Blinov; E.R Martirosian


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
376 KB
Volume
34
Category
Article
ISSN
1381-141X

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โœฆ Synopsis


This article concerns a new expert system for elucidating structures of organic compounds from their spectra, where two 13 ลฝ principally different molecular generators are used. The system is based on a database of C NMR spectra 135,000 .

13

ลฝ . structures , a library of molecular fragments and their C NMR subspectra more than 400,000 and a library of spectrum-to-structure correlations for both NMR and IR spectra. At the first stage, the system tries to automatically determine the structure of the unknown compound using fragments taken from the library of 13 C NMR spectra. The structures are generated by joining fragments that have common atoms. Knowledge of the molecular mass and the molecular formula is not needed for this stage. In case of failure the program automatically determines the molecular formula from the ลฝ . molecular mass different formulas can have the same mass and then forms the sets of fragments. The structures are generated with the help of another generator designed for constructing structures from non-overlapping fragments. The libraries of spectrum-to-structure correlations are used for determination of the molecular formula as well as for spectral filtration of fragments and structures. The most preferable structure is selected by predicting 13 C and 1 H NMR spectra. Some examples of problem solution are cited.


๐Ÿ“œ SIMILAR VOLUMES


Automated structure elucidation โ€” the be
โœ Mikhail E. Elyashberg; Kirill A. Blinov; Eduard R. Martirosian; Sergey G. Molodt ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Journal of Heterocyclic Chemistry ๐ŸŒ English โš– 297 KB

## Abstract Characteristic features of a new expert system __StrucEluc__ are described. The system is intended for the structure elucidation of complex organic molecules using a variety of spectroscopic data including 2D NMR. We review here the results of challenging this system with over 100 struc