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Master's Dissertation
DOI
https://doi.org/10.11606/D.9.2012.tde-10032013-232818
Document
Author
Full name
Bárbara Athayde Vaz Galvão da Silva
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2011
Supervisor
Committee
Ferreira, Elizabeth Igne (President)
Santos Filho, Osvaldo Andrade
Sant'Anna, Carlos Maurício Rabello de
Title in Portuguese
Aplicação de metodologias do CADD (Computer-Aided Drug Design) a um conjunto de pirrolidina carboxamidas: mapeamento do farmacóforo e planejamento de novos protótipos tuberculostáticos potenciais
Keywords in Portuguese
Enoil-acp redutase
Modelagem molecular
Pirrolidina carboxamidas
Tuberculose
Abstract in Portuguese
A situação da tuberculose (TB) foi alterada de forma significativa pela síndrome de imunodeficiência adquirida (SIDA ou AIDS) e pelo aparecimento de novas cepas do Mycobacterium tuberculosis resistentes ao tratamento quimioterápico, que justificariam a pesquisa de novos agentes antimicobacterianos. Alvos interessantes têm emergido para o planejamento racional de novos fármacos contra a TB, particularmente, considerando processos metabólicos específicos que ocorrem durante a biossíntese da parede celular micobacteriana e que envolvem a síntese de ácidos graxos (FAS-II, fatty acid synthase). O sistema FAS-II constitui diferença bioquímica importante entre mamíferos e micobatérias. A enzima enoil-acp (acyl carrier protein, proteína acil-carregadora) redutase (ENR) é alvo determinante no sistema FAS-II, responsável pela etapa de alongamento dos ácidos micólicos, que são os principais componentes da parede celular do M. tuberculosis. O presente projeto tem como objetivo a aplicação de metodologias do planejamento de fármacos auxiliado por computador, CADD (Computer-Aided Drug Design), em um conjunto de derivados pirrolidina carboxamidas descritos como inibidores potenciais da ENR do M. tuberculosis (InhA) com intuito de mapear o farmacóforo, investigar a orientação dos ligantes no sítio ativo e os tipos de interações que se estabelecem com os resíduos de aminoácidos do sítio de interação. Inicialmente, investigaram-se as relações quantitativas entre estrutura química e atividade biológica (QSAR, quantitative structure-activity relationships) com aplicação de abordagem multivariada. O melhor modelo QSAR indicou que propriedades estruturais, termodinâmicas e eletrônicas devem ser consideradas no processo de planejamento e proposição de novos protótipos potencialmente tuberculostáticos.
Title in English
Computer-Aided drug design methodologies applied to a set of pyrrolidine carboxamides: pharmacophore mapping and planning of new prototypes potential tuberculostatic
Keywords in English
Enoyl-acp reductase
Pyrrolidine carboxamides
Tuberculosis
Abstract in English
The incidence of tuberculosis (TB) disease has significantly changed considering the acquired immunodeficiency syndrome (AIDS) co-infection as well as the emergence of new Mycobacterium tuberculosis strains resistant to the currently chemotherapy. These facts support the search for novel antimycobacterial agents. Interesting targets have been elucidated and could be used for the rational design of new drugs against TB, primarily those related to specific biochemical metabolic pathways that occur during the cell wall biosynthesis, specially involved in the fatty acid synthase (FAS) system. The FAS-II system is an important biochemical difference between mammals and mycobacteria. The enoyl-ACP reductase (ENR) is the key enzyme in the FAS-II system, responsible for the elongation step of mycolic acids, which are the major components in the M. tuberculosis cell wall. This research project aims the application of computer-aided drug design (CADD) methodologies to a set of pyrrolidine carboxamide derivatives, which were previously reported as potential M. tuberculosis ENR (InhA) inhibitors, for mapping the pharmacophore, investigating the ligands' orientation at the active site and also the interaction types regarding the amino acid residues in the active site. Initially, the quantitative structure-activity relationships (QSAR) were performed applying a multivariate approach. The best QSAR model indicated the structural, thermodynamic, and electronic properties must be taken into account in the design of novel leads as potential antituberculosis agents.
 
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dissertbarbaravaz.pdf (7.52 Mbytes)
Publishing Date
2013-04-08
 
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