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通过基于配体和结构的虚拟筛选相结合发现碳酸酐酶抑制剂

Discovery of Carbonic Anhydrase Inhibitors by a Combination of Ligand- and Structure-Based Virtual Screening.

作者信息

Prada Gori Denis N, Barrionuevo Emilia M, Alberca Lucas N, Sbaraglini María L, Llanos Manuel A, Giovannuzzi Simone, Carta Fabrizio, Marchetto Matías I, Supuran Claudiu T, Alba Soto Catalina D, Gavernet Luciana, Talevi Alan

机构信息

Laboratory of Bioactive Research and Development (LIDeB), Medicinal Chemistry, Department of Biological Sciences, Faculty of Exact Sciences, National University of La Plata, La Plata, Buenos Aires 1900, Argentina.

Neurofarba Department, Sezione di Scienze Farmaceutiche e Nutraceutiche, University of Florence, Sesto Fiorentino, Florence 50019, Italy.

出版信息

J Chem Inf Model. 2025 May 26;65(10):4980-4993. doi: 10.1021/acs.jcim.5c00279. Epub 2025 May 12.

Abstract

carbonic anhydrase (CA) has emerged as a promising therapeutic target for the treatment of Chagas disease. In this study, a sequential virtual screening strategy was employed to identify potential CA inhibitors. The workflow consisted of ligand-based virtual screening applied to diverse chemical libraries, followed by target-based molecular docking to refine the selection of compounds. Six candidates were selected for their evaluation against both the enzyme and the parasite. All of them confirmed inhibitory activity against CA, with three exhibiting s in the nanomolar or submicromolar range. Among these, Nitrofurantoin demonstrated significant inhibitory activity, with a of 93 nM against CA and EC of 14.82 μM against trypomastigotes. These findings suggest that Nitrofurantoin is a promising lead compound for further optimization and highlight the therapeutic potential of CA as a drug target in Chagas disease.

摘要

碳酸酐酶(CA)已成为治疗恰加斯病的一个有前景的治疗靶点。在本研究中,采用了一种序贯虚拟筛选策略来鉴定潜在的CA抑制剂。工作流程包括对不同化学文库进行基于配体的虚拟筛选,随后进行基于靶点的分子对接以优化化合物的选择。选择了六个候选物针对酶和寄生虫进行评估。它们均证实对CA具有抑制活性,其中三个在纳摩尔或亚微摩尔范围内表现出活性。其中,呋喃妥因表现出显著的抑制活性,对CA的IC50为93 nM,对锥鞭毛体的EC50为14.82 μM。这些发现表明呋喃妥因是进一步优化的有前景的先导化合物,并突出了CA作为恰加斯病药物靶点的治疗潜力。

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