Evidence map›Paper›PMID 39150323›Full record

ArticleJournal of chemical information and modeling2024

Mapping of the Lipid-Binding Regions of the Antifungal Protein NFAP2 by Exploiting Model Membranes.

Olivér Pavela, Tünde Juhász, Liliána Tóth, András Czajlik, Gyula Batta, László Galgóczy, Tamás Beke-Somfai

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

7 authors.

Olivér PavelaInstitute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2, Budapest, H-1117, Hungary.ORCID 0009-0008-6911-669X
Tünde JuhászInstitute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2, Budapest, H-1117, Hungary.
Liliána TóthDepartment of Biotechnology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, Szeged H-6726, Hungary.
András CzajlikDepartment of Organic Chemistry, Faculty of Science and Technology, University of Debrecen, Egyetem tér 1 Debrecen H-4032, Hungary.ORCID 0000-0002-6812-5454
Gyula BattaDepartment of Organic Chemistry, Faculty of Science and Technology, University of Debrecen, Egyetem tér 1 Debrecen H-4032, Hungary.
László GalgóczyDepartment of Biotechnology, Faculty of Science and Informatics, University of Szeged, Közép fasor 52, Szeged H-6726, Hungary.ORCID 0000-0002-6976-8910
Tamás Beke-SomfaiInstitute of Materials and Environmental Chemistry, HUN-REN Research Centre for Natural Sciences, Magyar tudósok körútja 2, Budapest, H-1117, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infections with high mortality rates represent an increasing health risk. The

Indexed as

Antifungal AgentsFungal ProteinsAmino Acid SequenceBinding SitesLipid BilayersModels, MolecularMolecular Dynamics SimulationProtein BindingAntifungal AgentsFungal ProteinsLipid Bilayers

Identifiers

PMID39150323
PMCPMC11351017

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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.