Evidence map›Paper›PMID 35864333›Full record

ArticleNature chemical biology2022

A modification-centric assessment tool for the performance of chemoproteomic probes.

Ji-Xiang He, Zheng-Cong Fei, Ling Fu, Cai-Ping Tian, Fu-Chu He, Hao Chi, Jing Yang

Abstract read
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In one paragraph

Article in Nature chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  5. Review
  6. Friends, foes and signals.Nature chemical biology · 2026
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  8. Article
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  17. Probing the secrets of probes.Nature chemical biology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ji-Xiang He *The Joint Graduate Program with National Center for Protein Sciences, Hebei University, Baoding, China.
Zheng-Cong Fei *Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Beijing, China.
Ling FuState Key Laboratory of Proteomics, Beijing, China.
Cai-Ping TianState Key Laboratory of Proteomics, Beijing, China.
Fu-Chu HeState Key Laboratory of Proteomics, Beijing, China.
Hao ChiKey Laboratory of Intelligent Information Processing of Chinese Academy of Sciences, Beijing, China. chihao@ict.ac.cn.ORCID http://orcid.org/0000-0002-7898-2599
Jing YangState Key Laboratory of Proteomics, Beijing, China. yangjing@ncpsb.org.cn.ORCID http://orcid.org/0000-0001-8486-273X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

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AldehydesProteomeAldehydesProteome

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.