Rosselli F. P., Ferreira M. M. C., Albuquerque C. N., da Silva A. B. F., “A Structure-Activity Relationship (SAR/QSAR) Study of Analogous Compounds of Megazol with Activity Against Trypanosoma equiperdum”. Caxambu, MG, Brazil, 04-06/11/2002: XXIX Annual Meeting on Basic Research in Chagas Disease and XVIII Meeting of the Brazilian Society of Protozoology. Rev. Inst. Med. Trop. S. Paulo, 44 (Suppl. 12) 12, November 2002. Poster CT-26.
CT26 - A STRUCTURE-ACTIVITY
RELATIONSHIP (SAR/QSAR) STUDY OF
ANALOGOUS COMPOUNDS OF
MEGAZOL WITH ACTIVITY AGAINST
Trypanosoma equiperdum
Rosselli, F. P. (PG)a, Ferreira, M. M. C. (PQ)b,
Albuquerque, C. N. (PQ)c, da Silva, A. B.
F. (PQ)a
a Instituto de Química de São Carlos, Departamento
de Química e Física Molecular - USP,
Caixa Postal 780, São Carlos - SP;
b Instituto de Química - UNICAMP, Campinas - SP;
c Departamento de Tecnologia Bioquímico-Farmacêutica
(FTB), Faculdade de Ciências
frosselli@iqsc.usp.br
The protozoan Trypanosoma equiperdum is the causative
agent of the disease known as
dourine (or durin). It´s a contagious disease that
happens in horses and asses, and it takes
place mainly in Africa. It's transmitted
from host to host during the copulation, becoming
usually chronic. Acute signs are characterized by augment
(inflammantion) of genital organ.
Furthermore, it appears edematous subcutaneous plaques,
light and intermittent fever,
progressional paralysis of posterior members, emaciation
and death.
In 1995, Cristina Northfleet Albuquerque, by occasion
of her doctorate, synthesized some
analogous compounds, the megazol, chemically 1-methyl-2-(5-amino-1,3,4-thiadiazole)-5-
nitroimidazole. Her main intention has been the
Trypanosoma
cruzi and Chagas disease,
but some of her compounds were tested against T. equiperdum
too. A study of structure-
activity relationship (QSAR/SAR) tries
to settle a relationship between molecular
properties and biological activities. In this work, it
was tried to related molecular properties
(variables or descriptors) of the megazol plus
some of its analogous compounds and their
biological activities, which were
acquired from in vitro tests. The molecular
properties
(variables or descriptors), which can be didactically
shared in steric, electronic, lipophilicity
and polarizability properties, were calculated by quantum
mechanic methods (ab initio). It
was calculated about 50 molecular descriptors,
through computational package AMPAC
5.0 program. In the next
step, statistical techniques were employed
to reduce the
dimensionality of the dataset
and investigate which variable subset would
be more
effecting in classifying the compounds studied in two
groups, according to their degreee of
activity against T. equiperdum:
compounds with higher activity and with lower activity
against T. equiperdum. This
classification is obtained through pattern
recognition
techniques, such as principal component
analysis (PCA), hierarchical cluster analysis
(HCA) and Kth nearest neighbor
(KNN), available in Piroutte 2.0 program. It was also
tried to use multivariate regression method. like partial
least-squares method (PLS).
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