Biomedicinal Information Research Center (BIRC), National, Institute of Advanced Industrial Science and Technology (AIST), 2-3-26 Aomi, Koto-ku, Tokyo 135-0064 (Japan); Japan Biological Informatics Consortium (JBIC), 2-3-26 Aomi, Koto-ku, Tokyo 135-0064 (Japan).
Angew Chem Int Ed Engl. 2014 Mar 3;53(10):2597-601. doi: 10.1002/anie.201310749. Epub 2014 Jan 30.
Structural information about the target-compound complex is invaluable in the early stage of drug discovery. In particular, it is important to know into which part of the initial compound additional interaction sites could be introduced to improve its affinity. Herein, we demonstrate that the affinity of a small-molecule inhibitor for its target protein could be successfully improved by the constructive introduction of the interaction mode of a competitive peptide. The strategy involved the discrimination of overlapping and non-overlapping peptide-compound pharmacophores by the use of a ligand-based NMR spectroscopic approach, INPHARMA. The obtained results enabled the design of a new compound with improved affinity for the platelet receptor glycoprotein VI (GPVI). The approach proposed herein efficiently combines the advantages of compounds and peptides for the development of higher-affinity druglike ligands.
关于目标化合物复合物的结构信息在药物发现的早期阶段是非常宝贵的。特别是,了解初始化合物的哪些部分可以引入额外的相互作用位点,以提高其亲和力是很重要的。在这里,我们证明了通过建设性地引入竞争性肽的相互作用模式,小分子抑制剂与其靶蛋白的亲和力可以成功提高。该策略涉及通过基于配体的 NMR 光谱方法 INPHARMA 来区分重叠和非重叠肽-化合物药效团。获得的结果使设计一种对血小板受体糖蛋白 VI (GPVI)具有更高亲和力的新化合物成为可能。本文提出的方法有效地结合了化合物和肽的优势,用于开发更高亲和力的类药配体。