生物正交化学
蛋白质组
计算机科学
计算生物学
稳健性(进化)
蛋白质组学
纳米技术
化学
组合化学
生物信息学
生物
生物化学
材料科学
基因
点击化学
作者
Ji-Xiang He,Zhengcong Fei,Ling Fu,Caiping Tian,Fuchu He,Hao Chi,Jing Yang
标识
DOI:10.1038/s41589-022-01074-8
摘要
Chemoproteomics has emerged as a key technology to expand the functional space in complex proteomes for probing fundamental biology and for discovering new small-molecule-based therapies. Here we report a modification-centric computational tool termed pChem to provide a streamlined pipeline for unbiased performance assessment of chemoproteomic probes. The pipeline starts with an experimental setting for isotopically coding probe-derived modifications that can be automatically recognized by pChem, with masses accurately calculated and sites precisely localized. pChem exports on-demand reports by scoring the profiling efficiency, modification homogeneity and proteome-wide residue selectivity of a tested probe. The performance and robustness of pChem were benchmarked by applying it to eighteen bioorthogonal probes. These analyses reveal that the formation of unexpected probe-derived modifications can be driven by endogenous reactive metabolites (for example, bioactive aldehydes and glutathione). pChem is a powerful and user-friendly tool that aims to facilitate the development of probes for the ever-growing field of chemoproteomics.
科研通智能强力驱动
Strongly Powered by AbleSci AI