five

Covalent DNA-Encoded Library Workflow Drives Discovery of SARS-CoV‑2 Nonstructural Protein Inhibitors

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Covalent_DNA-Encoded_Library_Workflow_Drives_Discovery_of_SARS-CoV_2_Nonstructural_Protein_Inhibitors/27888553
下载链接
链接失效反馈
官方服务:
资源简介:
The COVID-19 pandemic, exacerbated by persistent viral mutations, underscored the urgent need for diverse inhibitors targeting multiple viral proteins. In this study, we utilized covalent DNA-encoded libraries to discover innovative triazine-based covalent inhibitors for the 3-chymotrypsin-like protease (3CLpro, Nsp5) and the papain-like protease (PLpro) domains of Nsp3, as well as novel non-nucleoside covalent inhibitors for the nonstructural protein 12 (Nsp12, RdRp). Optimization through molecular docking and medicinal chemistry led to the development of LU9, a nonpeptide 3CLpro inhibitor with an IC50 of 0.34 μM, and LU10, whose crystal structure showed a distinct binding mode within the 3CLpro active site. The X-ray cocrystal structure of SARS-CoV-2 PLpro in complex with XD5 uncovered a previously unexplored binding site adjacent to the catalytic pocket. Additionally, a non-nucleoside covalent Nsp12 inhibitor XJ5 achieved a potency of 0.12 μM following comprehensive structure–activity relationship analysis and optimization. Molecular dynamics revealed a potential binding mode. These compounds offer valuable chemical probes for target validation and represent promising candidates for the development of SARS-CoV-2 antiviral therapies.
创建时间:
2024-12-11
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作