Estudos in silico com alcaloides oriundos de produtos naturais

• Ano de defesa: 2016
• Autor(a) principal: Lorenzo, Vitor Prates
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraíba; Brasil; Farmacologia; Programa de Pós-Graduação em Produtos Naturais e Sintéticos Bioativos; UFPB
• Palavras-chave em Português: Química medicinal; Alcaloides; Modelagem molecular; Docking; Modelo baseado no ligante; Modelo baseado na estrutura; Descritores moleculares; Multi-target.; Medicinal chemistry; Alkaloids; Molecular modeling; Ligand-based; Structure-based; Molecular descriptors; CIENCIAS BIOLOGICAS::FARMACOLOGIA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/9516

The use of plants for medicinal purposes is one of the oldest forms of medical practice of mankind, emphasizing the alkaloids because they present rich structural and pharmacological properties extensive variety. The drug design is aided by computer based strategies based on linkers or target. When developing new compounds, the structure-based techniques, such as docking, can be applied to study of certain receptor and its corresponding ligand, evaluating bindingprotein interactions. Whereas in the ligand-based methods, a database of known ligands is used, looking for ways to evaluate parameters (molecular descriptors) that can assist in the development of compounds with higher power. This study aimed to perform in silico studies to investigate drug-target interactions with alkaloids derived from natural products and their analogues with relevant pharmacological activity. Different molecular descriptors and methodologies were used in the studies developed. In chapter 2, the interaction of alkaloid bisindolic caulerpine (CLP) was evaluated with the enzyme involved in Alzheimer's disease (AD) monoamine oxidase B (MAO-B), and a database with 109 analogs. It was possible to observe a chemical parameter of inhibition of PLC analogues where the replacement of the radicals must be asymmetric with different polarity. The studies based on the linker and the structure associated with the classification drug-like chemical skeleton suggest that the PLC has potential use in the treatment of AD. In chapter 3, 8 alkaloids isolated Cissampelos sympodialis and 101 derivatives, had their inhibitory potential against enzyme (BACE, GSK-3β and MAO-A) involved in degenerative diseases assessed by in silico methods. consensual analysis showed affinity alkaloids bisbenzilisoquinolinics by BACE, incluindos the roraimine natural alkaloids and simpodialine-β-N-oxide, supporting interest in investigating this skeleton as an antagonist of this enzyme. In Chapter 4 we evaluated the multi-target potential of 148 aphorphinics alkaloids Annonaceae against Leishmania donovani. Six were selected enzymes of this neglected disease for theoretical study, which was associated with experimental four alkaloids available data and integrating the bank, which had pIC50 value inferior to 5.26. The xyloguyelline alkaloid was named as a potential multi-agent target, demonstrating activity against 5 of 6 enzymes evaluated, likely to activity of over 60%. fragment descriptors were used to create model-based binder in a parallel approach with molecular docking to predict the cytotoxic and against topoisomerase II activity azaphenantrene alkaloids in chapter 5. The cytotoxic activity of this skeleton alkaloids are well described in the literature, molecules having activity against several tumor cell lines. The IMB 6 analog and 23 IMB showed interesting activity and selectivity, with MolDock energy similar to liriodenine composed characterized by potent anti-tumor action, but with high toxicity. Important structural information is provided by spectroscopy nuclear magnetic resonance (NMR), and Chapter 6 aimed to discuss the importance of this technique for generating molecular descriptors. Studies that applied successfully in drug design NMR descriptors assisted by computer are described and several QSAR and QSPR having as support data chemical shifts.