Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence.

José TMoreira-Filho; Arthur CSilva; Rafael FDantas; Barbara FGomes; Lauro RSouza Neto; JoseBrandao-Neto; Raymond JOwens; Nicholas Furnham ORCID logo; Bruno JNeves; Floriano PSilva-Junior; +1 more... Carolina HAndrade; (2021) Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence. Frontiers in immunology, 12. 642383-. ISSN 1664-3224 DOI: 10.3389/fimmu.2021.642383
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Schistosomiasis is a parasitic disease caused by trematode worms of the genus Schistosoma and affects over 200 million people worldwide. The control and treatment of this neglected tropical disease is based on a single drug, praziquantel, which raises concerns about the development of drug resistance. This, and the lack of efficacy of praziquantel against juvenile worms, highlights the urgency for new antischistosomal therapies. In this review we focus on innovative approaches to the identification of antischistosomal drug candidates, including the use of automated assays, fragment-based screening, computer-aided and artificial intelligence-based computational methods. We highlight the current developments that may contribute to optimizing research outputs and lead to more effective drugs for this highly prevalent disease, in a more cost-effective drug discovery endeavor.



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