20.500.12556/DiRROS-22832 Combination of experimental and bioinformatic approaches for identification of immunologically relevant protein–peptide Interactions 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. phage panning next-generation sequencing bioinformatic analysis allergen Ves v 5 epitopes true false true MDPI AG Biomolecules Angleški jezik Ni določen © 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/). Neznano 2025-07-02 08:03:18 2025-07-02 08:03:19 2025-10-24 03:52:16 0000-00-00 00:00:00 2023 0 0 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; str. [1]-14 iss. 2 Vol. 13 2023 0000-00-00 Zaloznikova Objavljeno apc 2023-01-10 2023-02-01 2023-01-01 577.2 2218-273X 10.3390/biom13020310 141181443 https://www.mdpi.com/2218-273X/13/2/310 1 416e579c-570a-11f0-8080-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=33201 RAZ_Debeljak_Jerneja_2023.pdf RAZ_Debeljak_Jerneja_2023.pdf 1 A9220B870B4799D1D53C0910BC63C05D f64393856d24de8503101cfa170eb9f84f8a7f635c7fd2f3f1b51adab96e4472 1389844c-570b-11f0-8080-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=33202 Univerzitetna klinika za pljučne bolezni in alergijo Golnik 0 0 0