Bruni A. T., Ferreira M. M. C., “Omeprazole a nd Analogue Compounds: A Case Study”. Bournemouth, United Kingdom, 08-13/09/2002: 14th European Symposium on Quantitative Structure-Activity Relationships: Designing Drugs - Problems and Solutions (Euro QSAR 2002), Final Programme Book, Poster No. 051. Section: Session 3 - Modelling the Chemistry.
Poster No: 051
Omeprazole and Analogue Compounds: A Case Study
Aline Thaís Bruni and Márcia Miguel Castro Ferreira
Instituto de Química, Universidade Estadual de
Campinas, Campinas, SP BRAZIL 13083-970
marcia@iqm.unicamp.br
Omeprazole is a substituted benzimidazole and it presents
an optically active center with the
sulfur of the sulfoxide group being the chiral center.
It is a pro-drug which can be easily
converted into its respective sulfenamide at low pH.
Figure 1 shows the decomposition
reaction of omeprazole (1) to sulfenamide (4). Omeprazole
has also some rotational freedom.
Figure 1. Omeprazole decomposition reaction in acid medium.
In this work, omeprazole and analogue compounds have
been studied against Heliobacter
pylori action. Heliobacter pylori usually lives in the
stomach and requires urease enzyme to
colonize mucus layer.1
It plays and important role in peptic ulcer disease, and the bacterium
eradication decreases the ulcer recurrence.2,3
These facts motivate a search to find new
treatments. Besides, some complementary studies about
omeprazole behavior were
performed. Conformational aspects, racemization barriers
and decomposition reaction (Fig. 1)
were taken in account. Initially, conformational analysis
was performed for all compounds.
Quantum chemistry coupled to chemometric methods PCA4
were used to find all minimum
energy structures for each drug. The PM3 semi-empirical
method implemented in Gaussian
98 package was used to perform conformational analysis
and to find the racemization barriers
values. The descriptors and the total energy involved
in the decomposition reaction were
calculated by using the ab initio method at Hartree-Fock
level (6-31G**), implemented in
Spartan Pro package. The PLS regression method was used
to build the QSAR models.
1. B. J. Marshall, Am. J. Gastroenterol., 89 S116 (1994).
2. Y. Glupczynski, A. Burette, Am. J. Gastroenterol.,
87 1716 (1992).
3. N. Chiba, B. V. Rao, J. W. Rademaker, R. H. Hunt,
Am. J. Gastroenterol., 87 1716 (1992).
4. A. T. Bruni, B. P. Leite, M. M. C. Ferreira, J. Comp.
Chem., 23 222 (2002).