Identification of Kiwellin-like Proteins in Fruits by Using In Silico Tools

Authors

  • Ceylan Turkmen
  • Levent Cavas Dokuz Eylul University, Faculty of Science, Department of Chemistry, Tinaztepe Campus, 35160, Izmir-Turkey

DOI:

https://doi.org/10.17344/acsi.2019.5012

Keywords:

Allergen, in silico tools, kiwellin, kiwi, bioinformatics

Abstract

Identification of allergen proteins by using wet-lab technology is a time-consuming and also costly process. In recent years, thanks to the developments in the field of bioinformatics, it is now possible to estimate the allergen proteins by using in silico tools. In the present study, it is aimed to find kiwellin-like proteins from different fruits samples by using bioinformatics tools. According to the results of the study, six proteins from Corchorus olitorius, Cucumis sativus, Capsicum chinense, Carica papaya, Morus notabilis and Jatropha curcas were defined as the allergens. In conclusion, in silico tools developed under the field of bioinformatics can provide a big contribution to the estimation of unknown allergen proteins in different fruits. Based on the in silico results, physicians can suggest people who have allergenicity to kiwellin not to consume the fruits that contain kiwellin-like proteins.

Author Biography

Levent Cavas, Dokuz Eylul University, Faculty of Science, Department of Chemistry, Tinaztepe Campus, 35160, Izmir-Turkey

Dokuz Eylul University, Faculty of Science, Department of Chemistry,

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Published

20.03.2020

Issue

Section

Biochemistry and molecular biology