Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28492
metadata.artigo.dc.title: Computer-assisted design of dual-target anti-HIV-1 compounds
metadata.artigo.dc.creator: Guimarães, Maria C.
Silva, Daniel G.
Mota, Estella G. da
Cunha, Elaine F. F. da
Freitas, Matheus P.
metadata.artigo.dc.subject: HIV reverse transcriptase
Anti-HIV compounds
QSAR modeling
Transcriptase reversa do HIV
Compostos anti-HIV
Modelagem QSAR
metadata.artigo.dc.publisher: Springer
metadata.artigo.dc.date.issued: Mar-2014
metadata.artigo.dc.identifier.citation: GUIMARÃES, M. C. et al. Computer-assisted design of dual-target anti-HIV-1 compounds. Medicinal Chemistry Research, Cambridge, v. 23, n. 3, p. 1548-1558, Mar. 2014.
metadata.artigo.dc.description.abstract: Anti-HIV compounds comprise inhibitors of some different biological targets, like HIV protease, integrase and reverse transcriptase enzymes, and entry and fusion proteins. These drugs are usually administered in drug cocktails (AIDS cocktails); the use of a single multi-target anti-HIV-1 compound against AIDS would avoid a more exhaustive therapeutic treatment. The QSAR modeling of reverse transcriptase inhibitors and anti-HIV-1 compounds in general is reported and, given some substructural similarity between the compounds of these two classes, novel compounds with possible double action against HIV-1 were proposed and their bioactivities estimated using the QSAR model. Docking studies were also developed to validate the QSAR predictions, as well as to understand the mode of interaction of the proposed compounds and to compute the docking scores of some derivatives (not predictable using the QSAR model) in the active site of HIV reverse transcriptase.
metadata.artigo.dc.identifier.uri: https://link.springer.com/article/10.1007/s00044-013-0765-3
http://repositorio.ufla.br/jspui/handle/1/28492
metadata.artigo.dc.language: en_US
Appears in Collections:DQI - Artigos publicados em periódicos

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