Evidence map›Paper›PMID 35946221›Full record

ArticleMedical gas research

Identifying medically relevant xenon protein targets by

David A Winkler, Ira Katz, Andrew Warden, Aaron W Thornton, Géraldine Farjot

Open access · hybridAbstract read
In one paragraph

Article in Medical gas research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 at 4 institutions in 3 countries.

David A WinklerMonash Institute of Pharmaceutical Sciences, Monash University, Parkville; Latrobe Institute for Molecular Science, La Trobe University, Bundoora, Australia; School of Pharmacy, University of Nottingham, Nottingham, UK.
Ira KatzEarly Drug Development, Air Liquide Santé International, Les loges-en-Josas, France.
Andrew WardenCSIRO Land and Water, Black Mountain, Canberra, Australia.
Aaron W ThorntonCSIRO Manufacturing and Infrastructure, Clayton, Australia.
Géraldine FarjotEarly Drug Development, Air Liquide Santé International, Les loges-en-Josas, France.
Air Liquide (France) · FRCSIRO Land and Water · AUCSIRO Manufacturing · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a previous study, in silico screening of the binding of almost all proteins in the Protein Data Bank to each of the five noble gases xenon, krypton, argon, neon, and helium was reported. This massive and rich data set requires analysis to identify the gas-protein interactions that have the best binding strengths, those where the binding of the noble gas occurs at a site that can modulate the function of the protein, and where this modulation might generate clinically relevant effects. Here, we report a preliminary analysis of this data set using a rational, heuristic score based on binding strength and location. We report a partial prioritized list of xenon protein targets and describe how these data can be analyzed, using arginase and carbonic anhydrase as examples. Our aim is to make the scientific community aware of this massive, rich data set and how it can be analyzed to accelerate future discoveries of xenon-induced biological activity and, ultimately, the development of new "atomic" drugs.

Indexed as

ProteomeXenonKryptonNeonNoble GasesKryptonNeonNoble GasesProteomeXenonbinding sitescomputational dockingenzymesmedical applicationsprotein bindingstructural biologyvirtual screeningxenon

Identifiers

PMID35946221
PMCPMC9480358
OpenAlexW4206441412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.