Evidence map›Paper›PMID 35675480›Full record

ArticleJournal of the American Society for Mass Spectrometry2022

Quantitative Characterization of Three Carbonic Anhydrase Inhibitors by LESA Mass Spectrometry.

Eva Illes-Toth, Christopher J Stubbs, Emma K Sisley, Jeddidiah Bellamy-Carter, Anna L Simmonds, Todd H Mize, Iain B Styles, Richard J A Goodwin, Helen J Cooper

Open access · hybridAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Eva Illes-TothSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Christopher J StubbsMechanistic and Structural Biology, Discovery Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom.
Emma K SisleySchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Jeddidiah Bellamy-CarterSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-1102-3596
Anna L SimmondsSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Todd H MizeSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.
Iain B StylesSchool of Computer Science and Centre of Membrane Proteins and Receptors (COMPARE), University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0002-6755-0299
Richard J A GoodwinImaging and Data Analytics, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Cambridge CB4 0WG, United Kingdom.
Helen J CooperSchool of Biosciences, University of Birmingham, Birmingham B15 2TT, United Kingdom.ORCID 0000-0003-4590-9384
University of Birmingham · GBAstraZeneca (United Kingdom) · GBTuring Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liquid extraction surface analysis (LESA) coupled to native mass spectrometry (MS) presents unique analytical opportunities due to its sensitivity, speed, and automation. Here, we examine whether this tool can be used to quantitatively probe protein-ligand interactions through calculation of equilibrium dissociation constants (

Indexed as

Carbonic Anhydrase InhibitorsLiquid-Liquid ExtractionAnimalsCattleLigandsMass SpectrometryProteinsSolventsCarbonic Anhydrase InhibitorsLigandsProteinsSolvents

Identifiers

PMID35675480
PMCPMC9264382
OpenAlexW4282938441

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.