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Structural insights into the amino acid usage variations in the profilin gene family.
Singh, Bhupender; Ahanathapillai, Vijayalakshmi; Sharma, Neeta Raj; Jan, Sadaf; Roy, Ayan; Upadhyay, Atul Kumar.
Afiliação
  • Singh B; School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India. bhupender.thakur855@gmail.com.
  • Ahanathapillai V; Biomedical Engineering, School of Health Sciences, Birmingham City University, Seacole Building, 32 Westbourne Road, Birmingham, B15 3TN, UK.
  • Sharma NR; School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India.
  • Jan S; School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India.
  • Roy A; School of Bioengineering and Biosciences, Lovely Professional University, Jalandhar, Punjab, 144001, India. ayanroy.bio@gmail.com.
  • Upadhyay AK; Center for Infection and Immunity, Columbia University, New York, 10032, USA. ayanroy.bio@gmail.com.
Amino Acids ; 54(3): 411-419, 2022 Mar.
Article em En | MEDLINE | ID: mdl-35192061
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Profilinas / Aminoácidos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Profilinas / Aminoácidos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article