Modern approaches to accelerate discovery of new antischistosomal drugs

Bruno Junior Neves, Eugene Muratov, Renato Beilner Machado, Carolina Horta Andrade, Pedro Vitor Lemos Cravo

Research output: Contribution to journalReview articlepeer-review

11 Citations (Scopus)

Abstract

Introduction: The almost exclusive use of only praziquantel for the treatment of schistosomiasis has raised concerns about the possible emergence of drug-resistant schistosomes. Consequently, there is an urgent need for new antischistosomal drugs. The identification of leads and the generation of high quality data are crucial steps in the early stages of schistosome drug discovery projects. Areas covered: Herein, the authors focus on the current developments in antischistosomal lead discovery, specifically referring to the use of automated in vitro target-based and whole-organism screens and virtual screening of chemical databases. They highlight the strengths and pitfalls of each of the above-mentioned approaches, and suggest possible roadmaps towards the integration of several strategies, which may contribute for optimizing research outputs and led to more successful and cost-effective drug discovery endeavors. Expert opinion: Increasing partnerships and access to funding for drug discovery have strengthened the battle against schistosomiasis in recent years. However, the authors believe this battle also includes innovative strategies to overcome scientific challenges. In this context, significant advances of in vitro screening as well as computer-aided drug discovery have contributed to increase the success rate and reduce the costs of drug discovery campaigns. Although some of these approaches were already used in current antischistosomal lead discovery pipelines, the integration of these strategies in a solid workflow should allow the production of new treatments for schistosomiasis in the near future.
Original languageEnglish
Pages (from-to)557-567
Number of pages11
JournalExpert Opinion On Drug Discovery
Volume11
Issue number6
DOIs
Publication statusPublished - 2 Jun 2016

Keywords

  • automated assays
  • computer-aided molecular design
  • data quality
  • drug discovery
  • perspectives
  • Schistosomiasis
  • virtual screening

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