Center for Drug Discovery and Translational Research, Beth Israel Deaconess Medical Center, Harvard Medical School, 330 Brookline Avenue, Boston, MA 02215, USA; Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Av. do Café, s/n, Ribeirão Preto, SP 14040-903, Brazil.
Computational Laboratory of Pharmaceutical Chemistry, School of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo, Av. do Café, s/n, Ribeirão Preto, SP 14040-903, Brazil.
Int J Biol Macromol. 2024 Oct;277(Pt 3):134290. doi: 10.1016/j.ijbiomac.2024.134290. Epub 2024 Jul 29.
There is an urgent need to develop new, safer, and more effective drugs against Chagas disease (CD) as well as related kinetoplastid diseases. Targeting and inhibiting the Trypanosoma cruzi proteasome has emerged as a promising therapeutic approach in this context. To expand the chemical space for this class of inhibitors, we performed virtual screening campaigns with emphasis on shape-based similarity and ADMET prioritization. We describe the ideation and application of robustly validated shape queries for these campaigns, which furnished 44 compounds for biological evaluation. Five hit compounds demonstrated in vitro antitrypanosomal activity by potential inhibition of T. cruzi proteasome and notable chemical diversities, particularly, LCQFTC11. Structural insights were achieved by homology modeling, sequence/structure alignment, proteasome-species comparison, docking, molecular dynamics, and MMGBSA binding affinity estimations. These methods confirmed key interactions as well as the stability of LCQFTC11 at the β4/β5 subunits' binding site of the T. cruzi proteasome, consistent with known inhibitors. Our results warrant future assay confirmation of our hit as a T. cruzi proteasome inhibitor. Importantly, we also shed light into dynamic details for a proteasome inhibition mechanism that shall be further investigated. We expect to contribute to the development of viable CD drug candidates through such a relevant approach.
目前迫切需要开发新的、更安全、更有效的抗恰加斯病(CD)药物以及相关的动基体目虫病药物。在这种情况下,靶向和抑制克氏锥虫蛋白酶体已成为一种很有前途的治疗方法。为了扩大这类抑制剂的化学空间,我们进行了虚拟筛选活动,重点是基于形状的相似性和 ADMET 优先级。我们描述了这些活动中稳健验证的形状查询的构思和应用,这些查询提供了 44 种化合物进行生物学评估。五种命中化合物通过潜在抑制克氏锥虫蛋白酶体和显著的化学多样性(特别是 LCQFTC11)显示出体外抗变形虫活性。结构见解通过同源建模、序列/结构比对、蛋白酶体物种比较、对接、分子动力学和 MMGBSA 结合亲和力估算来实现。这些方法证实了关键的相互作用以及 LCQFTC11 在克氏锥虫蛋白酶体β4/β5 亚基结合位点的稳定性,与已知抑制剂一致。我们的结果证明了我们的命中化合物作为克氏锥虫蛋白酶体抑制剂的未来检测的合理性。重要的是,我们还揭示了蛋白酶体抑制机制的动态细节,这将进一步进行研究。我们期望通过这种相关方法为开发可行的 CD 药物候选物做出贡献。