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Internet Electronic Journal of Molecular Design - IEJMD, ISSN 1538-6414, CODEN IEJMAT
ABSTRACT - Internet Electron. J. Mol. Des. December 2004, Volume 3, Number 12, 759-770

Use of an Expert System in Lignan Skeleton Prediction from 1H NMR Data
Mara B. Costantin, Marcelo J. P. Ferreira, Gilberto V. Rodrigues, and Vicente P. Emerenciano
Internet Electron. J. Mol. Des. 2004, 3, 759-770

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Abstract:
The identification of natural products is a task that demands skilled spectroscopists in this area. The number of isolated substances has been enhanced significantly in the last years. Therefore, trying to reduce the time spent during the identification this process, we developed a program able to predict the carbon skeleton for a compound from 1H NMR data. For that, the natural product class selected in this study was the lignans, products showing some complex structures. The H1MACH program was developed to assist the process of skeleton prediction of organic compounds from the 1H NMR chemical shift data. Thus, a database containing 760 1H NMR spectra data was established. From the data, the program can predict the most probable skeleton type for a new compound under analysis and show several structures that have a high similarity index with the supplied data. The program was evaluated with 30 lignan structures not stored yet in the database. The results show that the program was able to predict, in 70% of the studied cases, the correct skeleton of the compound. Analyzing with more details the results, one can verify that in 90% of the tests, the correct skeleton was predicted among the three first skeletons by the program. Regarding the obtained results, it can be concluded that the tests carried out with the program H1MACH showed good results, once that the signal multiplicity was not included in the database. The procedure here described can be applied for other classes of compounds. This new tool will increase the power of spectral data interpretation of the expert system SISTEMAT.

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