| Title: | Combination of experimental and bioinformatic approaches for identification of immunologically relevant protein–peptide Interactions |
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| Authors: | ID Debeljak, Jerneja, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
ID Korošec, Peter, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
ID Šelb, Julij, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
ID Rijavec, Matija, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
ID Košnik, Mitja, Univerzitetna klinika za pljučne bolezni in alergijo Golnik (Author)
ID Lunder, Mojca (Author) |
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| Files: |  URL - Source URL, visit https://www.mdpi.com/2218-273X/13/2/310
 PDF - Presentation file, download (1,63 MB)
MD5: A9220B870B4799D1D53C0910BC63C05D
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| Language: | English |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: |  UKPBAG - University Clinic of Respiratory and Allergic Diseases Golnik
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| Abstract: | Protein–peptide interactions are an essential player in cellular processes and, thus, of great interest as potential therapeutic agents. However, identifying the protein’s interacting surface has been shown to be a challenging task. Here, we present a methodology for protein–peptide interaction identification, implementing phage panning, next-generation sequencing and bioinformatic analysis. One of the uses of this methodology is identification of allergen epitopes, especially suitable for globular inhaled and venom allergens, where their binding capability is determined by the allergen’s conformation, meaning their interaction cannot be properly studied when denatured. A Ph.D. commercial system based on the M13 phage vector was used for the panning process. Utilization of various bioinformatic tools, such as PuLSE, SAROTUP, MEME, Hammock and Pepitope, allowed us to evaluate a large amount of obtained data. Using the described methodology, we identified three peptide clusters representing potential epitopes on the major wasp venom allergen Ves v 5. |
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| Keywords: | phage panning, next-generation sequencing, bioinformatic analysis, allergen Ves v 5, epitopes |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 10.01.2023 |
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| Article acceptance date: | 01.02.2023 |
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| Publication date: | 01.01.2023 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2023 |
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| Number of pages: | str. [1]-14 |
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| Numbering: | Vol. 13, iss. 2 |
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| Source: | Biomolecules |
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| PID: | 20.500.12556/DiRROS-22832  |
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| UDC: | 577.2 |
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| ISSN on article: | 2218-273X |
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| DOI: | 10.3390/biom13020310 |
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| COBISS.SI-ID: | 141181443 |
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| Copyright: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
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| Note: | Soavtorji: Peter Korošec, Julij Šelb, Matija Rijavec, Mitja Košnik, Mojca Lunder;
Nasl. z nasl. zaslona;
Opis vira z dne 9. 2. 2023;
Št. članka: 310;
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| Publication date in DiRROS: | 02.07.2025 |
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| Views: | 403 |
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| Downloads: | 377 |
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