Literature DB >> 24215344

A pharmacophore-based virtual screening approach for the discovery of Trypanosoma cruzi GAPDH inhibitors.

Fernando V Maluf1, Adriano D Andricopulo, Glaucius Oliva, Rafael Vc Guido.   

Abstract

BACKGROUND: Chagas disease is a major cause of morbidity and death for millions of people in Latin America. The drugs currently available exhibit poor efficacy and severe side effects. Therefore, there is an urgent need for new, safe and effective drugs against Chagas disease. The vital dependence on glycolysis as energy source makes the glycolytic enzymes of Trypanosoma cruzi, the causative agent of Chagas disease, attractive targets for drug design. In this work, glyceraldehyde-3-phosphate dehydrogenase from T. cruzi (TcGAPDH) was employed as molecular target for the discovery of new inhibitors as hits.
RESULTS: Integrated protein-based pharmacophore and structure-based virtual screening approaches resulted in the identification of three hits from three chemical classes with moderate inhibitory activity against TcGAPDH. The inhibitors showed IC50 values in the high micromolar range.
CONCLUSION: The new chemotypes are attractive molecules for future medicinal chemistry efforts aimed at developing new lead compounds for Chagas disease.

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Year:  2013        PMID: 24215344     DOI: 10.4155/fmc.13.166

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  3 in total

1.  Identification of novel Trypanosoma cruzi prolyl oligopeptidase inhibitors by structure-based virtual screening.

Authors:  Hugo de Almeida; Vincent Leroux; Flávia Nader Motta; Philippe Grellier; Bernard Maigret; Jaime M Santana; Izabela Marques Dourado Bastos
Journal:  J Comput Aided Mol Des       Date:  2016-10-21       Impact factor: 3.686

2.  Systematic in silico Evaluation of Leishmania spp. Proteomes for Drug Discovery.

Authors:  Crhisllane Rafaele Dos Santos Vasconcelos; Antonio Mauro Rezende
Journal:  Front Chem       Date:  2021-04-27       Impact factor: 5.221

3.  Computational Drug Repositioning for Chagas Disease Using Protein-Ligand Interaction Profiling.

Authors:  Alfredo Juárez-Saldivar; Michael Schroeder; Sebastian Salentin; V Joachim Haupt; Emma Saavedra; Citlali Vázquez; Francisco Reyes-Espinosa; Verónica Herrera-Mayorga; Juan Carlos Villalobos-Rocha; Carlos A García-Pérez; Nuria E Campillo; Gildardo Rivera
Journal:  Int J Mol Sci       Date:  2020-06-16       Impact factor: 5.923

  3 in total

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