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Chagas disease, caused by the parasite Trypanosoma cruzi, affects between 6 and 8 million people worldwide. Also known as American trypanosomiasis, because it is considered endemic only in Latin America, but has spread to other continents due to migratory movements. It is estimated that 56,000 new cases and about 12,000 deaths from complications related to Chagas disease annually. The chemotherapy available for treatment consists of only two drugs, nifurtimox and benznidazole, however these are poorly effective in the chronic phase. These drugs also have serious adverse effects and resistance from strains of the parasite. Faced with this scenario, the need to search for new drugs against T. cruzi is imminent. For the drug planning for new antiparasitic chemotherapics, the identification and characterization of metabolic pathways essential to the survival of parasites is fundamental. Therewith, the sirtuin 2 Silent Information Regulator 2 (Sir2) enzyme has an important role for T. cruzi infection, since Sir2 in the parasite is totally involved in its cell cycle. This is an NAD-dependent enzyme of class III histone deacetylases, and it shows an interesting biochemical target for the development of antichagasic. The availability of Sir2 genomic sequencing allows us to use SBDD (Structure Based Drug Design) strategies in identifying drug candidates for this disease. Among the modern techniques of SBDD used, virtual screening makes it possible to identify and select potent and selective enzyme inhibitors for the chosen target. The model of the T. cruzi Sir2 enzyme was constructed using the comparative modeling technique. A molecular dynamics simulation of 200ns was performed to ascertain the stability of the obtained model. Considering the stabilization of the model from 100ns, it was validated using cluster analysis, Root-mean-square Deviation (RMSD) and hydrogen bond frequency analyzes with Cofator (NAD) and the amino acids of the catalysis site were observed, these simulation and validation steps were performed in the DESMOND program. With the robust model, the molecular interaction fields (MIFs) were generated in the GRID program (Molecular Discovery v2.1) in order to elucidate the regions favorable to the interaction with the enzyme in relation to the physicalchemical properties of Sir2. From the MIFs favorable to Sir2 of T. cruzi it was possible to construct two pharmacophoric models, which was based on the interactions of Cofator (NAD) and the catalysis site (Nicotinamide). It was also applied as a Virtual screening filter in the UNITY program of the SYBYL X 2.0 platform, using the ZINC and GSK databases. Screening resulted in the selection of 8 inhibitor candidate compounds. Six compounds were obtained from the screening, because they were considered more promising, and were tested against T. cruzi Sri2 enzyme. After the assay it was possible to evaluate the potency of 4 compounds, the most promising compound being CDMS-01 (IC50 = 39.9 μM) that will be submitted to molecular optimization processes.

Busca por inibidores seletivos de Sirtuína 2 de &lt;i&gt;T. cruzi&lt;/i&gt; empregando técnicas de planejamento de fármacos baseadona estrutura do receptor