6 research outputs found

    Potent Plasmodium falciparum gametocytocidal compounds identified by exploring the kinase inhibitor chemical space for dual active antimalarials

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    OBJECTIVES : Novel chemical tools to eliminate malaria should ideally target both the asexual parasites and transmissible gametocytes. Several imidazopyridazines (IMPs) and 2-aminopyridines (2-APs) have been described as potent antimalarial candidates targeting lipid kinases. However, these have not been extensively explored for stage-specific inhibition of gametocytes in Plasmodium falciparum parasites. Here we provide an in-depth evaluation of the gametocytocidal activity of compounds from these chemotypes and identify novel starting points for dual-acting antimalarials. METHODS : We evaluated compounds against P. falciparum gametocytes using several assay platforms for cross-validation and stringently identified hits that were further profiled for stage specificity, speed of action and ex vivo efficacy. Physicochemical feature extraction and chemogenomic fingerprinting were applied to explore the kinase inhibition susceptibility profile. RESULTS : We identified 34 compounds with submicromolar activity against late stage gametocytes, validated across several assay platforms. Of these, 12 were potent at 1000-fold selectivity towards the parasite over mammalian cells. Front-runner compounds targeted mature gametocytes within 48 h and blocked transmission to mosquitoes. The resultant chemogenomic fingerprint of parasites treated with the lead compounds revealed the importance of targeting kinases in asexual parasites and gametocytes. CONCLUSIONS : This study encompasses an in-depth evaluation of the kinase inhibitor space for gametocytocidal activity. Potent lead compounds have enticing dual activities and highlight the importance of targeting the kinase superfamily in malaria elimination strategies.The South African Medical Research Council (SAMRC) Self-initiated Research (to JN) and Strategic Health Initiatives Partnerships (MRC-SHIP) programmes to L.B., T.C., D.M. K.C. further acknowledges the SAMRC for funding of the extramural Drug Discovery and Development Research Unit at UCT. The SAMRC is acknowledged for funding of the UP ISMC (LMB) and WRIM (TLC) as Collaborating Centres for Malaria Research. The Council for Scientific and Industrial Research and the 3R Foundation (project 118–10) to D.M. We thank the Medicines for Malaria Venture and South African Technology Innovation Agency (TIA) for funding to K.C. (Project MMV09/0002). The University of Cape Town, University of Pretoria, and South African Research Chairs Initiative of the Department of Science and Technology, administered through the South African National Research Foundation are gratefully acknowledged for support to K.C. and L.B. (UID84627). JN was supported through an International Society for Infectious Diseases grant.https://academic.oup.com/jac2019-05-01hj2018Biochemistr

    Mixing Rules Based on Power Means and Generalized q-Fractions

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    Analysis of the q-Fractions Weighted Power Mean Mixture Rules

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    Flexible graphical assessment of experimental designs in R: The vdg package

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    textabstractThe R package vdg provides a flexible interface for producing various graphical summaries of the prediction variance associated with specific linear model specifications and experimental designs. These methods include variance dispersion graphs, fraction of design space plots and quantile plots which can assist in choosing between a catalogue of candidate experimental designs. Instead of restrictive optimization methods used in traditional software to explore design regions, vdg utilizes sampling methods to introduce more flexibility. The package takes advantage of R’s modern graphical abilities via ggplot2 (Wickham 2009), adds facilities for using a variety of distance methods, allows for more flexible model specifications and incorporates quantile regressions to help with model comparison
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