dc.contributorCarlos Henrique da Silveira
dc.contributorhttp://lattes.cnpq.br/3775476837964989
dc.contributorCarlos Henrique da Silveira
dc.contributorLucas Bleicher
dc.contributorDaniel Cristian Ferreira Soares
dc.contributorLeonardo Henrique França de Lima
dc.contributorLucianna Helene Silva dos Santos
dc.creatorWandré Nunes de Pinho Veloso
dc.date.accessioned2019-10-31T15:23:24Z
dc.date.accessioned2022-10-03T23:09:04Z
dc.date.available2019-10-31T15:23:24Z
dc.date.available2022-10-03T23:09:04Z
dc.date.created2019-10-31T15:23:24Z
dc.date.issued2019-07-26
dc.identifierhttp://hdl.handle.net/1843/30754
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3817618
dc.description.abstractThe drug discovery process consists of several steps and the use of computational tools can be an essential part, especially during the early research stages. It is possible, for example, to study large numbers of molecules from various compound libraries from physico-chemical properties or even by predicting the mode and energy of binding between two or more molecules. EasyVS is a web tool developed to simplify the previously described process from the selection of compounds libraries and virtual screening of ligands. With an intuitive interface, this tool allows users to go from the selection of a protein target with known structure, through docking parameterization to its execution and results visualization, in a few clicks. EasyVS also allows users to choose from more than 16 million molecules through filters based on molecular properties, as well as the grouping through Tanimoto’s similarity index. This tool was used, in a case study, for the virtual screening of ligands for GPCR (G protein coupled receptors) and presented satisfactory results, indicating molecules already known as ligands, separating them from decoys, as well as new potential ligands to be studied. This study proved to be relevant since GPCRs are considered the largest family of targets for approved drugs. We intend to increase the processing capacity of the server availableforEasyVSinordertoreducethecomputationtimeoftherequisitions,besides making viable new functionalities for EasyVS.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherBrasil
dc.publisherPrograma de Pós-Graduação em Bioinformatica
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectEasyVS
dc.subjectGPCR
dc.subjectligantes
dc.titleEasyvs: uma ferramenta para triagem virtual mista baseada em alvo e ligante
dc.typeTese


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