Gagnidze Khatuna, Rozenfeld Raphael, Mezei Mihaly, Zhou Ming-Ming, Devi Lakshmi A
Department of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine, One Gustave L. Levy Place, New York, NY 10029, USA.
J Med Chem. 2008 Jun 26;51(12):3378-87. doi: 10.1021/jm7015478. Epub 2008 May 29.
Endothelin-converting enzyme-2 (ECE-2), a member of M13 family of zinc metallopeptidases, has previously been shown to process a number of neuropeptides including those derived from prodynorphin, proenkephalin, proSAAS, and amyloid precursor protein. ECE-2, unlike ECE-1, exhibits restricted neuroendocrine distribution and acidic pH optimum; it is consistent with a role in the regulation of neuropeptide levels in vivo. Here, we report the generation of a three-dimensional (3D) molecular model of ECE-2 using the crystal structure of neprilysin (EC 3.4.24.11) as a template. On the basis of the predictions made from the molecular model, we mutated and tested two residues, Trp 148 and Tyr 563, in the catalytic site. The mutation of Tyr 563 was found to significantly affect the catalytic activity and inhibitor binding. The molecular model was used to virtually screen a small molecule library of 13 000 compounds. Among the top-scoring compounds three were found to inhibit ECE-2 with high affinity and exhibited specificity for ECE-2 compared to neprilysin. Thus, the model provides a new useful tool to probe the active site of ECE-2 and design additional selective inhibitors of this enzyme.
内皮素转化酶-2(ECE-2)是锌金属肽酶M13家族的成员,此前已证明它可加工多种神经肽,包括源自强啡肽原、脑啡肽原、前SAAS和淀粉样前体蛋白的神经肽。与ECE-1不同,ECE-2表现出有限的神经内分泌分布和最适酸性pH值;这与它在体内调节神经肽水平的作用是一致的。在此,我们报告以中性内肽酶(EC 3.4.24.11)的晶体结构为模板生成ECE-2的三维(3D)分子模型。基于分子模型的预测,我们对催化位点的两个残基色氨酸148和酪氨酸563进行了突变和测试。发现酪氨酸563的突变显著影响催化活性和抑制剂结合。该分子模型用于虚拟筛选一个包含13000种化合物的小分子文库。在得分最高的化合物中,发现有三种对ECE-2具有高亲和力的抑制作用,并且与中性内肽酶相比,对ECE-2表现出特异性。因此,该模型为探究ECE-2的活性位点和设计该酶的其他选择性抑制剂提供了一个新的有用工具。