Evidence map›Paper›PMID 36011375›Full record

ArticleGenes2022

Analysis of Protein Sequence Identity, Binding Sites, and 3D Structures Identifies Eight Pollen Species and Ten Fruit Species with High Risk of Cross-Reactive Allergies.

Wei Zhou, Kaylah Bias, Dylan Lenczewski-Jowers, Jiliah Henderson, Victor Cupp, Anthony Ananga, Joel Winyo Ochieng, Violeta Tsolova

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. 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
0.6field-weighted citation impact, top 35% 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, 4 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

8 authors at 2 institutions in 2 countries.

Wei ZhouFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Kaylah BiasFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Dylan Lenczewski-JowersFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Jiliah HendersonFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Victor CuppFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Anthony AnangaFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Joel Winyo OchiengAgricultural Biotechnology Programme, University of Nairobi, P.O. Box 29053, Nairobi 00625, Kenya.ORCID 0000-0003-4186-1010
Violeta TsolovaFood Science Program, College of Agriculture and Food Sciences, Florida A&M University, 1740 S. Martin Luther King Jr. Blvd. Room 305-A Perry Paige South, Tallahassee, FL 32307, USA.
Florida Agricultural and Mechanical University · USUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fruit allergens are proteins from fruits or pollen that cause allergy in humans, an increasing food safety concern worldwide. With the globalization of food trade and changing lifestyles and dietary habits, characterization and identification of these allergens are urgently needed to inform public awareness, diagnosis and treatment of allergies, drug design, as well as food standards and regulations. This study conducted a phylogenetic reconstruction and protein clustering among 60 fruit and pollen allergens from 19 species, and analyzed the clusters, in silico, for cross-reactivity (IgE), 3D protein structure prediction, transmembrane and signal peptides, and conserved domains and motifs. Herein, we wanted to predict the likelihood of their interaction with antibodies, as well as cross-reactivity between the many allergens derived from the same protein families, as the potential for cross-reactivity complicates the management of fruit allergies. Phylogenetic analysis classified the allergens into four clusters. The first cluster (

Indexed as

Food HypersensitivityFruitAllergensBinding SitesHumansImmunoglobulin EPhylogenyPollenProtein Sorting SignalsAllergensImmunoglobulin EProtein Sorting Signals3D structureconserved domainscross-reactivedrug designfruit allergen

Identifiers

PMID36011375
PMCPMC9408803
OpenAlexW4292264694

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.