Ferreira Leonardo L G, Andricopulo Adriano D
Laboratory of Medicinal and Computational Chemistry, Center for Research and Innovation in Biodiversity and Drug Discovery, São Carlos Institute of Physics, University of São Paulo, São Carlos, Brazil.
Front Pharmacol. 2018 Nov 1;9:1278. doi: 10.3389/fphar.2018.01278. eCollection 2018.
Leishmaniasis is a fatal neglected tropical disease (NTD) that is caused by more than 20 species of parasites. The disease kills approximately 20,000 people each year and more than 1 billion are susceptible to infection. Although counting on a few compounds, the therapeutic arsenal faces some drawbacks such as drug resistance, toxicity issues, high treatment costs, and accessibility problems, which highlight the need for novel treatment options. Worldwide efforts have been made to that aim and, as well as in other therapeutic areas, chemoinformatics have contributed significantly to leishmaniasis drug discovery. Breakthrough advances in the comprehension of the parasites' molecular biology have enabled the design of high-affinity ligands for a number of macromolecular targets. In addition, the use of chemoinformatics has allowed highly accurate predictions of biological activity and physicochemical and pharmacokinetics properties of novel antileishmanial compounds. This review puts into perspective the current context of leishmaniasis drug discovery and focuses on the use of chemoinformatics to develop better therapies for this life-threatening condition.
利什曼病是一种由20多种寄生虫引起的致命性被忽视热带病(NTD)。该疾病每年导致约20000人死亡,超过10亿人易受感染。尽管有几种化合物可用,但治疗药物库存在一些缺点,如耐药性、毒性问题、高治疗成本和可及性问题,这凸显了对新型治疗方案的需求。为实现这一目标,全球都在努力,并且与其他治疗领域一样,化学信息学对利什曼病药物研发做出了重大贡献。对寄生虫分子生物学理解的突破性进展使得能够为多种大分子靶点设计高亲和力配体。此外,化学信息学的应用使得能够对新型抗利什曼化合物的生物活性、物理化学和药代动力学性质进行高度准确的预测。本综述阐述了利什曼病药物研发的当前背景,并着重介绍了利用化学信息学为这种危及生命的疾病开发更好疗法的情况。