Identification and prioritization of novel anti- Wolbachia chemotypes from screening a 10,000-compound diversity library

通过筛选 10,000 种化合物多样性库来识别和优先排序新型抗沃尔巴克氏体化学型

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作者:Kelly L Johnston, Darren A N Cook, Neil G Berry, W David Hong, Rachel H Clare, Megan Goddard, Louise Ford, Gemma L Nixon, Paul M O'Neill, Stephen A Ward, Mark J Taylor

Abstract

Lymphatic filariasis and onchocerciasis are two important neglected tropical diseases (NTDs) that cause severe disability. Control efforts are hindered by the lack of a safe macrofilaricidal drug. Targeting the Wolbachia bacterial endosymbionts in these parasites with doxycycline leads to a macrofilaricidal outcome, but protracted treatment regimens and contraindications restrict its widespread implementation. The Anti-Wolbachia consortium aims to develop improved anti-Wolbachia drugs to overcome these barriers. We describe the first screening of a large, diverse compound library against Wolbachia. This whole-organism screen, streamlined to reduce bottlenecks, produced a hit rate of 0.5%. Chemoinformatic analysis of the top 50 hits led to the identification of six structurally diverse chemotypes, the disclosure of which could offer interesting avenues of investigation to other researchers active in this field. An example of hit-to-lead optimization is described to further demonstrate the potential of developing these high-quality hit series as safe, efficacious, and selective anti-Wolbachia macrofilaricides.

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