Literature DB >> 22014382

Binding of GSH conjugates to π-GST: a cross-docking approach.

Fabio Lannutti1, Alessandro Marrone, Nazzareno Re.   

Abstract

The high degree of flexibility characterizing the members of the GST protein family is supposed to be an evolution-resolved feature related to the detoxifying role of these enzymes. Many evidences suggest that overexpression of these enzymes may be implicated in the development of acquired resistance to antitumor agents. Among the most effective GST inhibitors, GSH conjugates have been found to be particularly promising because of their low toxicity. Here, we used a cross docking approach based on an ensemble of X-ray structures of GST bound complexes to model the effects of protein flexibility on the binding of GSH conjugates. We showed that our multitarget approach, allows to analyze the impact of protein flexibility and induced fit effects in GSH conjugate docking to GST. Moreover, the inclusion of conserved water molecules in the model allowed to include a further source of target variability and improve the performances in the docking of GSH conjugates through an enhanced description of the GSH moiety interactions. Therefore, a map of ligand-protein interactions reflecting the target variability included in the docking model was retraced and used to gain a thorough insight about the way GSH conjugates bind to GST.
Copyright © 2011 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22014382     DOI: 10.1016/j.jmgm.2011.09.006

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  Activation of the low molecular weight protein tyrosine phosphatase in keratinocytes exposed to hyperosmotic stress.

Authors:  Rodrigo A Silva; Marcelly V Palladino; Renan P Cavalheiro; Daisy Machado; Bread L G Cruz; Edgar J Paredes-Gamero; Maria C C Gomes-Marcondes; Willian F Zambuzzi; Luciana Vasques; Helena B Nader; Ana Carolina S Souza; Giselle Z Justo
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

2.  A 10-year bibliometric analysis of osteosarcoma and cure from 2010 to 2019.

Authors:  Wacili Da; Zhengbo Tao; Yan Meng; Kaicheng Wen; Siming Zhou; Keda Yang; Lin Tao
Journal:  BMC Cancer       Date:  2021-02-04       Impact factor: 4.430

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.