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

Creative Commons License

Turkmen C., ÇAVAŞ L.

ACTA CHIMICA SLOVENICA, cilt.67, sa.1, ss.15-22, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 67 Sayı: 1
  • Basım Tarihi: 2020
  • Doi Numarası: 10.17344/acsi.2019.5012
  • Dergi Adı: ACTA CHIMICA SLOVENICA
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Central & Eastern European Academic Source (CEEAS), Chemical Abstracts Core, EMBASE, MEDLINE, Directory of Open Access Journals, DIALNET
  • Sayfa Sayıları: ss.15-22
  • Anahtar Kelimeler: Allergen, in silico tools, kiwellin, kiwi, bioinformatics, KIWI FRUIT, FOOD ALLERGY, PREDICTION, KIWIFRUIT, KISSPER, PEPTIDE, GREEN, VITRO, VIVO
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

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.