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基于 3D-QSAR 的药效团建模、虚拟筛选和分子动力学模拟鉴定脾酪氨酸激酶抑制剂。

3D-QSAR-Based Pharmacophore Modeling, Virtual Screening, and Molecular Dynamics Simulations for the Identification of Spleen Tyrosine Kinase Inhibitors.

机构信息

Department of Bio & Medical Big Data (BK4 Program), Division of Life Sciences, Research Institute of Natural Science (RINS), Gyeongsang National University (GNU), Jinju, South Korea.

Division of Applied Life Science, Plant Molecular Biology and Biotechnology Research Center (PMBBRC), Gyeongsang National University (GNU), Jinju, South Korea.

出版信息

Front Cell Infect Microbiol. 2022 Jun 30;12:909111. doi: 10.3389/fcimb.2022.909111. eCollection 2022.

Abstract

Spleen tyrosine kinase (SYK) is an essential mediator of immune cell signaling and has been anticipated as a therapeutic target for autoimmune diseases, notably rheumatoid arthritis, allergic rhinitis, asthma, and cancers. Significant attempts have been undertaken in recent years to develop SYK inhibitors; however, limited success has been achieved due to poor pharmacokinetics and adverse effects of inhibitors. The primary goal of this research was to identify potential inhibitors having high affinity, selectivity based on key molecular interactions, and good drug-like properties than the available inhibitor, fostamatinib. In this study, a 3D-QSAR model was built for SYK based on known inhibitor IC values. The best pharmacophore model was then used as a 3D query to screen a drug-like database to retrieve hits with novel chemical scaffolds. The obtained compounds were subjected to binding affinity prediction using the molecular docking approach, and the results were subsequently validated using molecular dynamics (MD) simulations. The simulated compounds were ranked according to binding free energy (ΔG), and the binding affinity was compared with fostamatinib. The binding mode analysis of selected compounds revealed that the hit compounds form hydrogen bond interactions with hinge region residue Ala451, glycine-rich loop residue Lys375, Ser379, and DFG motif Asp512. Identified hits were also observed to form a desirable interaction with Pro455 and Asn457, the rare feature observed in SYK inhibitors. Therefore, we argue that identified hit compounds ZINC98363745, ZINC98365358, ZINC98364133, and ZINC08789982 may help in drug design against SYK.

摘要

脾酪氨酸激酶(SYK)是免疫细胞信号转导的重要介质,已被视为治疗自身免疫性疾病(如类风湿关节炎、过敏性鼻炎、哮喘和癌症)的靶点。近年来,人们进行了大量的尝试,开发了 SYK 抑制剂;然而,由于抑制剂的药代动力学和不良反应较差,仅取得了有限的成功。本研究的主要目标是确定具有高亲和力、基于关键分子相互作用的选择性和良好药物样性质的潜在抑制剂,优于现有抑制剂 fostamatinib。在这项研究中,我们基于已知抑制剂的 IC 值,为 SYK 构建了一个 3D-QSAR 模型。然后,使用最佳的药效团模型作为 3D 查询,筛选具有新颖化学结构的药物样数据库,以获取命中化合物。使用分子对接方法预测获得的化合物的结合亲和力,随后使用分子动力学(MD)模拟进行验证。根据结合自由能(ΔG)对模拟化合物进行排序,并将结合亲和力与 fostamatinib 进行比较。所选化合物的结合模式分析表明,命中化合物与 hinge 区域残基 Ala451、富含甘氨酸的环残基 Lys375、Ser379 和 DFG motif Asp512 形成氢键相互作用。还观察到鉴定出的命中化合物与 Pro455 和 Asn457 形成了理想的相互作用,这是 SYK 抑制剂中罕见的特征。因此,我们认为鉴定出的命中化合物 ZINC98363745、ZINC98365358、ZINC98364133 和 ZINC08789982 可能有助于 SYK 的药物设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c710/9280624/14c123a93739/fcimb-12-909111-g001.jpg

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