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

Schistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence.
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DOI:
10.3389/fimmu.2021.642383
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发表时间:
2021
影响因子:
7.3
通讯作者:
Andrade CH
Andrade CH
中科院分区:
医学2区
文献类型:
--
作者:
Moreira-Filho JT;Silva AC;Dantas RF;Gomes BF;Souza Neto LR;Brandao-Neto J;Owens RJ;Furnham N;Neves BJ;Silva-Junior FP;Andrade CH

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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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发表时间: 2012
期刊: Database : the journal of biological databases and curation
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