Virtual and experimental screening of phenylfuranchalcones as potential anti-Leishmania candidates

J Mol Graph Model. 2019 Sep:91:164-171. doi: 10.1016/j.jmgm.2019.06.015. Epub 2019 Jun 19.

Abstract

Discovery of novel or repurposed chemical treatments for leishmaniasis is a priority given the limited number of therapeutic alternatives available. One way to accelerate the finding is by implementing virtual screening methodologies using structural information, with subsequent experimental validations. Here we tested a library of 48 phenylfuranchalcones as anti-Leishmania agents that can be associated to the potential inhibition of a protein target within the parasite. For that purpose, a list of 43 protein structures from different Leishmania species was prepared to dock the virtual compound library. The protein with the best predicted scores was used as reference to select a subset of previously synthesized compounds for in vitro validation of their cytotoxicity and anti-Leishmania activity. We found a set of active compounds (EC50 < 25 μM) that were compared with the computational results using Spearman correlations. The analysis allowed us to propose the inhibition of a phosphodiesterase enzyme as the potential mechanism of action.

Keywords: Chalcones; Drug discovery; Leishmania; Molecular docking; Virtual screening.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antiprotozoal Agents / analysis*
  • Antiprotozoal Agents / chemistry
  • Antiprotozoal Agents / pharmacology*
  • Chalcones / analysis*
  • Chalcones / chemistry
  • Chalcones / pharmacology*
  • Drug Evaluation, Preclinical*
  • Humans
  • Leishmania / drug effects*
  • Molecular Docking Simulation
  • Phosphoric Diester Hydrolases / chemistry
  • Phosphoric Diester Hydrolases / metabolism
  • Protein Binding / drug effects
  • U937 Cells

Substances

  • Antiprotozoal Agents
  • Chalcones
  • Phosphoric Diester Hydrolases