| Literature DB >> 35864333 |
Ji-Xiang He1,2,3,4,5,6, Zheng-Cong Fei7,8,9, Ling Fu3,4,5,6, Cai-Ping Tian3,4,5,6, Fu-Chu He3,4,5,6, Hao Chi10,11,12, Jing Yang13,14,15,16.
Abstract
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.Entities:
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Year: 2022 PMID: 35864333 DOI: 10.1038/s41589-022-01074-8
Source DB: PubMed Journal: Nat Chem Biol ISSN: 1552-4450 Impact factor: 16.174