Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28478
metadata.artigo.dc.title: Molecular modeling of the toxoplasma gondii adenosine kinase inhibitors
metadata.artigo.dc.creator: Mancini, Daiana Teixeira
Cunha, Elaine F. F. da
Ramalho, Teodorico C.
Freitas, Matheus P.
metadata.artigo.dc.subject: Toxoplasma gondii
Adenosine kinase
Molecular modeling
Adenossina quinase
Modelagem molecular
metadata.artigo.dc.publisher: Bentham Science
metadata.artigo.dc.date.issued: 2012
metadata.artigo.dc.identifier.citation: MANCINI, D. T. et al. Molecular modeling of the toxoplasma gondii adenosine kinase inhibitors. Chemoinformatics: Directions Toward Combating Neglected Diseases, Dubai, v. 1, p. 162-173, 2012.
metadata.artigo.dc.description.abstract: Toxoplasma gondii (T. gondii) is the most common cause of secondary central nervous system infection in immunocompromised persons such as AIDS patients. Since purine salvage is essential for T. gondii and for other parasitic protozoa, inhibition of this salvage should block parasite growth. T. gondii adenosine kinase (EC 2.7.1.20) is the major route of adenosine (purine nucleoside) metabolism in this parasite. Four-Dimensional Quantitative Structure-Activity Relationship (4D-QSAR) analysis was applied to a series of 41 inhibitors of T. gondii adenosine kinase. Optimized 4D-QSAR models were constructed by Genetic Algorithm (GA) optimization and partial least squares (PLS) fitting, and evaluated by the leave-one-out cross-validation method. Moreover, we have used docking approaches to study the binding orientations and predict binding affinities of some benzyladenosines with adenosine kinase.
metadata.artigo.dc.identifier.uri: http://www.eurekaselect.com/99345/chapter/molecular-modeling-of-the-toxoplasma-gondii-adenosine-kinase-inhibitor
http://repositorio.ufla.br/jspui/handle/1/28478
metadata.artigo.dc.language: en_US
Appears in Collections:DQI - Artigos publicados em periódicos

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