Wang Xudong, Zhu Ying, Zhao Qingyi, Lu Weiwei, Xu Yechun, Hu Hangchen, Lu Xiaojie
State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, P. R. China.
University of Chinese Academy of Sciences, Beijing 100049, P. R. China.
ACS Med Chem Lett. 2024 Mar 14;15(4):555-564. doi: 10.1021/acsmedchemlett.4c00069. eCollection 2024 Apr 11.
DNA-encoded library (DEL) technology is gaining attention for its rapid construction and deconvolution capabilities. Our study explored a novel strategy using rational DELs tailored for the SARS-CoV-2 papain-like protease, which revealed new fragments. Structural changes post-DEL screening mimic traditional medicinal chemistry lead optimization. We unveiled unique aromatic structures offering an alternative optimization path. Notably, we identified superior binding fragments targeting the BL2 groove. Derivative emerged as the most promising by exhibiting IC values of 0.25 μM. Derivative , which features an aromatic fragment capped with a naphthalene moiety, showed IC values of 2.91 μM. Molecular modeling revealed hydrogen bond interactions with Lys157 residue and potential covalent interactions with nearby amino acid residues. This research underscored DEL's potential for fragment-based drug discovery against SARS-CoV-2 protease.
DNA编码文库(DEL)技术因其快速构建和解卷积能力而备受关注。我们的研究探索了一种针对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)木瓜样蛋白酶定制的合理DELs的新策略,该策略揭示了新的片段。DEL筛选后的结构变化模拟了传统药物化学的先导优化。我们发现了独特的芳香结构,提供了一条替代的优化途径。值得注意的是,我们鉴定出了靶向BL2凹槽的优异结合片段。衍生物 表现出0.25 μM的IC值,成为最有前景的化合物。具有萘基封端的芳香片段的衍生物 显示出2.91 μM的IC值。分子模拟揭示了与Lys157残基的氢键相互作用以及与附近氨基酸残基的潜在共价相互作用。这项研究强调了DEL在针对SARS-CoV-2蛋白酶的基于片段的药物发现中的潜力。