Authors
B Moreira3; I C Batista2; N C Tavares2; T Armstrong1; S G Gava2; G P Torres2; M M Mourao2; F H Falcone3;
1 University of Nottingham, UK; 2 Instituto René Rachou - Fiocruz Minas, Brazil; 3 Justus-Liebig-University Giessen BFS, Institute for Parasitology, Germany
Discussion
Currently,
praziquantel (PZQ) is the only available drug that is effective against all Schistosoma
species, even considering its low efficacy against
early stages of the worm. In the search for new drugs to tackle
schistosomiasis, computer-aided drug design has proven a helpful tool to
enhance the search and initial identification of schistosomicidal compounds,
allowing fast and cost-efficient progress in drug discovery. The
combination of in silico high-throughput
screening followed by in vitro
phenotypic assays allows the assessment of enormous libraries of compounds with
the potential to inhibit biological targets. Besides, the drug discovery field
has witnessed a shift from traditional approaches of finding potent selective
inhibitors against individual targets, towards identifying promiscuous
compounds with multi-target efficacy and less toxicity (“Multi-target drugs”).
In order to explore this paradigm, we
employed molecular docking for in silico
screening of five predicted homology models of Schistosoma
mansoni kinase proteins (SmJNK, Smp38, SmERK1, SmERK2, and SmFES) against
approximately 85,000 molecules from the Managed Chemical Compounds Collection
of the University of Nottingham (UK). Based on molecular docking scores, we
selected 169 molecules, 78 of which were
single kinase-targeting compounds and 91 predicted to target all MAP kinases.
All compounds were screened in vitro against
larval and adult stages of S. mansoni. In total, 88 (52%) molecules were considered active in at least one of the
assays. This approach shows a much higher efficiency when compared to using
only traditional high-throughput in vitro
screening assays, where initial positive hits are retrieved from testing
thousands of molecules. Additionally, when we focused on compound promiscuity
over selectivity, we were able to efficiently detect 36 active compounds that
are predicted to target four SmMAP kinases at the same time. This approach
reinforces the concept of selecting multi-target inhibitors aiming for one ‘drug-many
targets’. Moreover, at least 49 active compounds presented satisfactory
druggability score when compared to PZQ, allowing further optimisation to
improve potency. In conclusion, our data support the hypothesis that compound
prioritization against many targets is a helpful alternative for drug discovery
against schistosomiasis.
Keywords: Schistosoma mansoni protein
kinases, computer-aided drug design, phenotypic screening, multi-target drugs