Discovery of a Potent and Selective Coactivator Associated Arginine Methyltransferase 1 (CARM1) Inhibitor by Virtual Screening
作者:Renato Ferreira de Freitas、Mohammad S. Eram、David Smil、Magdalena M. Szewczyk、Steven Kennedy、Peter J. Brown、Vijayaratnam Santhakumar、Dalia Barsyte-Lovejoy、Cheryl H. Arrowsmith、Masoud Vedadi、Matthieu Schapira
DOI:10.1021/acs.jmedchem.6b00668
日期:2016.7.28
identify PRMT inhibitors has been to screen large to medium-size chemical libraries. Attempts to develop PRMT inhibitors using receptor-based computational methods have met limited success. Here, using virtual screening approaches, we identify 11 CARM1 (PRMT4) inhibitors with ligand efficiencies ranging from 0.28 to 0.84. CARM1 selective hits were further validated by orthogonal methods. Two structure-based
蛋白质精氨酸甲基转移酶(PRMT)代表了肿瘤学和其他疾病领域的新兴靶标类别。到目前为止,鉴定PRMT抑制剂的最成功策略是筛选大中型化学文库。使用基于受体的计算方法开发PRMT抑制剂的尝试取得了有限的成功。在这里,使用虚拟筛选方法,我们识别出11种CARM1(PRMT4)抑制剂,其配体效率为0.28至0.84。通过正交方法进一步验证了CARM1选择性命中。两轮基于结构的优化产生了27种(SGC2085),一种具有IC 50的CARM1抑制剂50 nm的选择性和超过其他PRMT的数百倍的选择性。这些结果表明虚拟筛选策略可以成功地应用于Rossmann折叠蛋白甲基转移酶。