Evidence map›Paper›PMID 37022616›Full record

ArticleBiomolecular NMR assignments2023

Rahul Yadav, Tanveer Shaikh, Suhas Tikole, Andrew B Herr, Nicholas C Fitzkee

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomolecular NMR assignments, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 95% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Rahul YadavDepartment of Chemistry, Mississippi State University, Starkville, MS, 39762, USA.
Tanveer ShaikhDepartment of Chemistry, Mississippi State University, Starkville, MS, 39762, USA.
Suhas TikoleDepartment of Chemistry, Mississippi State University, Starkville, MS, 39762, USA.
Andrew B HerrDepartment of Pediatrics, Division of Immunobiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati School of Medicine, Cincinnati, OH, 45229, USA.
Nicholas C FitzkeeDepartment of Chemistry, Mississippi State University, Starkville, MS, 39762, USA. nfitzkee@chemistry.msstate.edu.
Mississippi State University · USCincinnati Children's Hospital Medical Center · US

Funding

Structure, Orientation, and Competitive Interactions of S. Epidermidis Biofilm Proteins on SurfacesR01AI139479 · NIAID · MISSISSIPPI STATE UNIVERSITY · PI FITZKEE, NICHOLAS C · 2018 to 2022
$1.8M
NIAID NIH HHS R01 AI139479
6 · The paper itself

Abstract

Staphylococcus epidermidis is the leading causative agent for hospital-acquired infections, especially device-related infections, due to its ability to form biofilms. The accumulation-associated protein (Aap) of S. epidermidis is primarily responsible for biofilm formation and consists of two domains, A and B. It was found that the A domain is responsible for the attachment to the abiotic/biotic surface, whereas the B domain is responsible for the accumulation of bacteria during biofilm formation. One of the parts of the A domain is the Aap lectin, which is a carbohydrate-binding domain having 222 amino acids in its structure. Here we report the near complete backbone chemical shift assignments for the lectin domain, as well as its predicted secondary structure. This data will provide a platform for future NMR studies to explore the role of lectin in biofilm formation.

Indexed as

Bacterial ProteinsStaphylococcus epidermidisBiofilmsLectinsNuclear Magnetic Resonance, BiomolecularBacterial ProteinsLectinsAapBiofilmLectinResonance assignmentSolution NMRSurface adhesion

Identifiers

PMID37022616
PMCPMC10247473
OpenAlexW4362657601

What OpenQuestion holds

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LicenceTDM
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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.