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基于药效团模型的虚拟筛选工作流程用于发现靶向热休克蛋白90(Hsp90)的抑制剂

Pharmacophore Model-Based Virtual Screening Workflow for Discovery of Inhibitors Targeting Hsp90.

作者信息

Mafethe Ofentse, Ntseane Tlhalefo, Dongola Tendamudzimu Harmfree, Shonhai Addmore, Gumede Njabulo Joyfull, Mokoena Fortunate

机构信息

Department of Biochemistry, North-West University, Mmabatho 2735, South Africa.

Department of Biochemistry and Microbiology, University of Venda, Thohoyandou 0950, South Africa.

出版信息

ACS Omega. 2023 Sep 26;8(41):38220-38232. doi: 10.1021/acsomega.3c04494. eCollection 2023 Oct 17.

Abstract

causes the most lethal and widespread form of malaria. Eradication of malaria remains a priority due to the increasing number of cases of drug resistance. The heat shock protein 90 of (PfHsp90) is a validated drug target essential for parasite survival. Most PfHsp90 inhibitors bind at the ATP binding pocket found in its N-terminal domain, abolishing the chaperone's activities, which leads to parasite death. The challenge is that the NTD of PfHsp90 is highly conserved, and its disruption requires selective inhibitors that can act without causing off-target human Hsp90 activities. We endeavored to discover selective inhibitors of PfHsp90 using pharmacophore modeling, virtual screening protocols, induced fit docking (IFD), and cell-based and biochemical assays. The pharmacophore model (DHHRR), composed of one hydrogen bond donor, two hydrophobic groups, and two aromatic rings, was used to mine commercial databases for initial hits, which were rescored to 20 potential hits using IFD. Eight of these compounds displayed moderate to high activity toward NF54 (i.e., ICs ranging from 6.0 to 0.14 μM) and averaged >10 in terms of selectivity indices toward CHO and HepG2 cells. Additionally, four compounds inhibited PfHsp90 with greater selectivity than a known inhibitor, harmine, and bound to PfHsp90 with weak to moderate affinity. Our findings support the use of a pharmacophore model to discover diverse chemical scaffolds such as , , , and exhibiting anti- activities and serving as valuable new PfHsp90 inhibitors. Optimization of these hits may enable their development into potent leads for future antimalarial drugs.

摘要

导致最致命且传播最广泛的疟疾形式。由于耐药病例数量不断增加,根除疟疾仍然是一项优先任务。恶性疟原虫的热休克蛋白90(PfHsp90)是已验证的对寄生虫生存至关重要的药物靶点。大多数PfHsp90抑制剂结合在其N端结构域中的ATP结合口袋处,消除伴侣蛋白的活性,从而导致寄生虫死亡。挑战在于PfHsp90的N端结构域高度保守,其破坏需要能够在不引起脱靶人类Hsp90活性的情况下起作用的选择性抑制剂。我们致力于使用药效团建模、虚拟筛选方案、诱导契合对接(IFD)以及基于细胞和生化的测定来发现PfHsp90的选择性抑制剂。由一个氢键供体、两个疏水基团和两个芳香环组成的药效团模型(DHHRR)用于挖掘商业数据库以获得初始命中物,这些命中物使用IFD重新评分至20个潜在命中物。其中八种化合物对NF54显示出中度至高活性(即IC50范围为6.0至0.14μM),并且对CHO和HepG2细胞的选择性指数平均>10。此外,四种化合物比已知抑制剂哈尔明对PfHsp90具有更高的选择性,并且以弱至中等亲和力与PfHsp90结合。我们的研究结果支持使用药效团模型来发现多种化学支架,如、、和,它们具有抗疟活性并可作为有价值的新型PfHsp90抑制剂。对这些命中物的优化可能使其发展成为未来抗疟药物的有效先导物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1c56/10586269/96d13313aa3e/ao3c04494_0001.jpg

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