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Master's Dissertation
DOI
https://doi.org/10.11606/D.75.2014.tde-03072014-163248
Document
Author
Full name
Aldineia Pereira da Silva
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2014
Supervisor
Committee
Silva, Albérico Borges Ferreira da (President)
Malpass, Ana Claudia Granato
Silva, Juarez Lopes Ferreira da
Title in Portuguese
Estudo da relação estrutura-atividade de compostos biologicamente ativos derivados do aripiprazol
Keywords in Portuguese
ANN
aripiprazol
esquizofrenia
PLS
QSAR
Abstract in Portuguese
A esquizofrenia é uma doença que, de acordo com a Organização Mundial de Saúde, acomete cerca de 1% da população mundial. Tendo em vista a sua alta incidência e, portanto, sua relevância, o presente trabalho objetivou estudar uma classe de compostos derivados do aripiprazol, substância ativa que estimula os receptores dopaminérgicos e serotoninérgicos, receptores esses de suma importância para o entendimento da fisiopatologia da esquizofrenia. Para isso, o estudo de QSAR foi realizado através dos métodos PLS e ANN, gerando dois modelos para tentar entender a relação entre a estrutura química e a atividade biológica. Os dois modelos gerados, PLS e ANN, foram satisfatórios, explicando 82,52% e 72,90% respectivamente, da variabilidade da atividade biológica. No entanto, como o modelo obtido através do método PLS foi considerado melhor, conclui-se que as variáveis selecionadas possuem comportamento linear frente à atividade biológica.
Title in English
Study of structure-activity relationships of biological active compounds derivatives of aripiprazole
Keywords in English
ANN
aripiprazole
PLS
QSAR
schizophrenia
Abstract in English
The Schizophrenia is a disease that affects about 1% of world population, according to the World Health Organization. Looking into its high incidence and therefore its relevance, the goal of this study was to investigate a class of compounds derived from aripiprazole, the active substance that stimulates dopamine and serotonin receptors, those essential for understanding the pathophysiology of schizophrenia. For the investigation to go on, the QSAR study was performed through PLS and ANN methods, generating two models in order to understand the relationship between chemical structure and biological activity. Both model results, PLS and ANN, were considered satisfactory, explaining 82.52% and 72.90%, respectively, of the variability of the biological activity. However, since the model obtained by the PLS method showed more satisfactory results, it can be concluded that the selected variables have a linear behavior concerning the biological activity.
 
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Publishing Date
2014-12-01
 
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