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通过 NMR 辅助虚拟筛选揭示 PDZ 结构域与双氯芬酸的意外相互作用。

Accidental interaction between PDZ domains and diclofenac revealed by NMR-assisted virtual screening.

机构信息

Laboratory of Structural Molecular Pharmacology, Graduate School of Pharmaceutical Sciences, Nagoya University, Furocho, Chikusa-ku, Nagoya 464-8601, Japan.

出版信息

Molecules. 2013 Aug 9;18(8):9567-81. doi: 10.3390/molecules18089567.

Abstract

In silico approaches have become indispensable for drug discovery as well as drug repositioning and adverse effect prediction. We have developed the eF-seek program to predict protein-ligand interactions based on the surface structure of proteins using a clique search algorithm. We have also developed a special protein structure prediction pipeline and accumulated predicted 3D models in the Structural Atlas of the Human Genome (SAHG) database. Using this database, genome-wide prediction of non-peptide ligands for proteins in the human genome was performed, and a subset of predicted interactions including 14 PDZ domains was then confirmed by NMR titration. Surprisingly, diclofenac, a non-steroidal anti-inflammatory drug, was found to be a non-peptide PDZ domain ligand, which bound to 5 of 15 tested PDZ domains. The critical residues for the PDZ-diclofenac interaction were also determined. Pharmacological implications of the accidental PDZ-diclofenac interaction are further discussed.

摘要

计算方法已成为药物发现、药物重定位和不良作用预测不可或缺的手段。我们开发了 eF-seek 程序,该程序使用团搜索算法基于蛋白质的表面结构预测蛋白质-配体相互作用。我们还开发了一种特殊的蛋白质结构预测管道,并在人类基因组结构图谱 (SAHG) 数据库中积累了预测的 3D 模型。使用该数据库,对人类基因组中蛋白质的非肽配体进行了全基因组预测,然后通过 NMR 滴定验证了包括 14 个 PDZ 结构域在内的部分预测相互作用。令人惊讶的是,非甾体抗炎药双氯芬酸被发现是非肽 PDZ 结构域配体,它与 15 个测试 PDZ 结构域中的 5 个结合。还确定了 PDZ-双氯芬酸相互作用的关键残基。进一步讨论了 PDZ-双氯芬酸意外相互作用的药理学意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38f4/6270271/2aaf8e14f3d3/molecules-18-09567-g001.jpg

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