Evidence map›Paper›PMID 35192061›Full record

ArticleAmino acids2022

Structural insights into the amino acid usage variations in the profilin gene family.

Bhupender Singh, Vijayalakshmi Ahanathapillai, Neeta Raj Sharma, Sadaf Jan, Ayan Roy, Atul Kumar Upadhyay

Abstract read
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In one paragraph

Article in Amino acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Perspectives of Proteomics in Respiratory Allergic Diseases.International journal of molecular sciences · 2023
    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

6 authors at 3 institutions in 3 countries.

Bhupender SinghSchool of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India. bhupender.thakur855@gmail.com.ORCID http://orcid.org/0000-0003-1654-5382
Vijayalakshmi AhanathapillaiBiomedical Engineering, School of Health Sciences, Birmingham City University, Seacole Building, 32 Westbourne Road, Birmingham, B15 3TN, UK.
Neeta Raj SharmaSchool of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India.
Sadaf JanSchool of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India.
Ayan RoySchool of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India. ayanroy.bio@gmail.com.
Atul Kumar UpadhyayDepartment of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, Punjab, 147004, India.
Lovely Professional University · INBirmingham City University · GBThapar Institute of Engineering & Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Profilin protein is present ubiquitously in all forms of life and is allied with allergic responses among atopic individuals. In addition to this, profilins from various food sources are also associated with IgE cross-reactivity and are thus classified as pan-allergens. The present study unravels the physicochemical basis of differential amino acid usage patterns observed in the profilin gene family. Correspondence analysis based on amino acid usage of allergen and non-allergen profilins revealed discrete clusters among them, signifying differential patterns of amino acid usage. The amino acids, namely methionine, proline, histidine, glutamine, glutamic acid, tryptophan and glycine were found to be more frequently utilised by the allergen profilins compared to the non-allergens. Correlation analysis revealed that physicochemical features like protein disorder, trypsin digestion and solubility differed significantly among the allergen and non-allergen profilins, thus supporting the observations from correspondence analysis. In addition, comprehensive sequence analysis revealed that the allergen profilins possess conserved motifs which may correlate with their distinct physicochemical features. An in-depth structural analysis revealed that the over-represented amino acids in allergen profilins have a propensity of being exposed on the surface, which may be attributed to their distinct allergenic characteristics. The distinguished physicochemical features observed among allergens and non-allergens can be employed as descriptors to develop machine learning-based allergenicity prediction models.

Indexed as

Amino AcidsProfilinsAllergensAmino Acid SequenceHumansImmunoglobulin EPlant ProteinsAllergensAmino AcidsImmunoglobulin EPlant ProteinsProfilinsAllergenAmino acid usageFood allergyMachine learningPhysicochemical featuresProfilin

Identifiers

PMID35192061
OpenAlexW4213278336

What OpenQuestion holds

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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.