Applications D'Intelligence Artificielle Dans La Chimie Organique. XVII. Nouveaux Programmes Du Projet SISTEMAT

Emerenciano, Vincente de Paulo; Rodrigues, Gilberto do V.; Macari, Patricia A. T.; Vesti, Sandra A.; Borges, Joao H. G.; Gastmans, J. P.; Fromanteau, Denise L. G.

doi:https://doi.org/10.1155/1994/702697

Journal of Spectroscopy

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Volume 12 | Article ID 702697 | https://doi.org/10.1155/1994/702697

Applications D'Intelligence Artificielle Dans La Chimie Organique. XVII. Nouveaux Programmes Du Projet SISTEMAT

Vincente de Paulo Emerenciano,¹Gilberto do V. Rodrigues,¹Patricia A. T. Macari,¹Sandra A. Vesti,¹Joao H. G. Borges,¹J. P. Gastmans,²and Denise L. G. Fromanteau²

Abstract

This work describes the new improvements of the SISlEMAT project, one system for structural elucidation mainly in the field of Natural Products Chemistry. Some examples of the resolution of problems using ¹³C Nuclear Magnetic Resonance and Mass Spectroscopy are given. Programs to discover new heuristic rules for structure generation are discussed. The data base contains about 1000 ¹³C NMR spectra.

Copyright

Copyright © 1997 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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