Evidence map›Paper›PMID 37101899›Full record

ArticleACS bio & med chem Au2022

Collision-Induced Affinity Selection Mass Spectrometry for Identification of Ligands.

Tin Mak, Jamie Rossjohn, Dene R Littler, Miaomiao Liu, Ronald J Quinn

Abstract read
In one paragraph

Article in ACS bio & med chem Au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Target Engagement Assays in Early Drug Discovery.Journal of medicinal chemistry · 2025
    Review
  6. Article
  7. Dissecting the structural heterogeneity of proteins by native mass spectrometry.Protein science : a publication of the Protein Society · 2023
    Review
  8. Review
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

5 authors.

Tin MakGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.
Jamie RossjohnInfection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3168, Australia.
Dene R LittlerInfection and Immunity Program and Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, Victoria 3168, Australia.
Miaomiao LiuGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.ORCID https://orcid.org/0000-0003-0930-3617
Ronald J QuinnGriffith Institute for Drug Discovery, Griffith University, Brisbane, Queensland 4111, Australia.ORCID https://orcid.org/0000-0002-4022-2623

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyphenated mass spectrometry has been used to identify ligands binding to proteins. It involves mixing protein and compounds, separation of protein-ligand complexes from unbound compounds, dissociation of the protein-ligand complex, separation to remove protein, and injection of the supernatant into a mass spectrometer to observe the ligand. Here we report collision-induced affinity selection mass spectrometry (CIAS-MS), which allows separation and dissociation inside the instrument. The quadrupole was used to select the ligand-protein complex and allow unbound molecules to be exhausted to vacuum. Collision-induced dissociation (CID) dissociated the protein-ligand complex, and the ion guide and resonance frequency were used to selectively detect the ligand. A known SARS-CoV-2 Nsp9 ligand, oridonin, was successfully detected when it was mixed with Nsp9. We provide proof-of-concept data that the CIAS-MS method can be used to identify binding ligands for any purified protein.

Identifiers

PMID37101899
PMCPMC10125361

What OpenQuestion holds

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Registered trials

None linked

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.