Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Bioquímica Experimental de Computacional de Fármacos, Rio de Janeiro, RJ, Brasil.
Fundação Oswaldo Cruz-Fiocruz, Instituto Oswaldo Cruz, Laboratório de Bioquímica de Tripanosomatídeos, Rio de Janeiro, RJ, Brasil.
Mem Inst Oswaldo Cruz. 2022 Mar 11;117:e210402. doi: 10.1590/0074-02760210402. eCollection 2022.
Diseases caused by trypanosomatid parasites affect millions of people mainly living in developing countries. Novel drugs are highly needed since there are no vaccines and available treatment has several limitations, such as resistance, low efficacy, and high toxicity. The drug discovery process is often analogous to finding a needle in the haystack. In the last decades a so-called rational drug design paradigm, heavily dependent on computational approaches, has promised to deliver new drugs in a more cost-effective way. Paradoxically however, the mainstay of these computational methods is data-driven, meaning they need activity data for new compounds to be generated and available in databases. Therefore, high-throughput screening (HTS) of compounds still is a much-needed exercise in drug discovery to fuel other rational approaches. In trypanosomatids, due to the scarcity of validated molecular targets and biological complexity of these parasites, phenotypic screening has become an essential tool for the discovery of new bioactive compounds. In this article we discuss the perspectives of phenotypic HTS for trypanosomatid drug discovery with emphasis on the role of image-based, high-content methods. We also propose an ideal cascade of assays for the identification of new drug candidates for clinical development using leishmaniasis as an example.
由原生动物寄生虫引起的疾病主要影响生活在发展中国家的数百万人。由于没有疫苗,而且现有的治疗方法存在耐药性、疗效低和毒性高等诸多局限性,因此非常需要新的药物。药物发现过程通常类似于大海捞针。在过去几十年中,一种所谓的基于理性的药物设计范式,严重依赖于计算方法,有望以更具成本效益的方式提供新药。然而,具有讽刺意味的是,这些计算方法的主要依据是数据驱动的,这意味着它们需要新化合物的活性数据才能生成并在数据库中可用。因此,化合物的高通量筛选 (HTS) 仍然是药物发现中非常需要的一项工作,可以为其他理性方法提供动力。在原生动物中,由于验证的分子靶标稀缺和这些寄生虫的生物学复杂性,表型筛选已成为发现新的生物活性化合物的重要工具。本文讨论了基于表型的 HTS 在原生动物药物发现中的应用前景,重点介绍了基于图像的高通量方法的作用。我们还提出了一个理想的检测组合,以鉴定新的候选药物用于临床开发,以利什曼病为例。