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基于结构的O-GlcNAc转移酶抑制剂的虚拟筛选

Virtual Screening of Human O-GlcNAc Transferase Inhibitors

  • 摘要: 利用O-GlcNAc 转移酶同UDP-GlcNAc复合物的晶体结构,针对其催化位点,对ZINC库中的7134792个分子和FOG库中的4287550个分子进行三轮(HTVS、SP、XP)虚拟筛选,结果发现具有更好类药性的FOG库中包含更多对接得分更低的小分子,且具有更多新颖的化学片段.ZINC库中具有较低对接得分的分子可分为2类,分别占据UDP-GlcNAc的UDP和GlcNAc的结合位置,在此基础上设计得到的分子具有更好的对接得分.证明FOG分子库具有产生更多对接得分更低的分子,所预测和设计的小分子化合物可以成为潜在的抑制剂药物分子.

     

    Abstract: O-GlcNAc transferase (OGT) is one of essential mammalian enzymes, which catalyze the transfer of N-acetylglucosamine from UDP-N-acetylglucosamine (UDP-GlcNAc) to hydroxyl groups of serines and threonines (Ser/Thr) in proteins. Dysregulations of cellular O-GlcNAc have been implicated in diabetes, neurodegenerative disease, and cancer, which brings great interest in developing potent and speci c small-molecular OGT inhibitors. In this work, we performed virtual screening on OGT catalytic site to identify potential inhibitors. 7134792 drug-like compounds from ZINC (a free database of commercially available compounds for virtual screening) and 4287550 compounds generated by FOG (fragment optimized growth program) were screened and the top 116 compounds ranked by docking score were analyzed. By comparing the screening results, we found FOG program can generate more compounds with better docking scores than ZINC. The top ZINC compounds ranked by docking score were grouped into two classes, which held the binding positions of UDP and GlcNAc of UDPGlcNAc. Combined with individual fragments in binding pocket, de novo compounds were designed and proved to have better docking score. The screened and designed compounds may become a starting point for developing new drugs.

     

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