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Nonetheless, contemporary progress in computational biology and immunoinformatics has introduced innovative methodologies that can substantially support and accelerate vaccine design against this pathogen. In the present work, an\n                    <jats:italic>in silico<\/jats:italic>\n                    strategy was employed to develop a multi-epitope vaccine targeting\n                    <jats:italic>H. pylori<\/jats:italic>\n                    . The FlaA, UreB and PSA D15 proteins were chosen as primary antigens due to their strong immunogenic potential, critical roles in bacterial physiology, and comparatively low sequence variability among strains. Using advanced bioinformatics and immunoinformatics pipelines, potential epitopes for both B-cell and T-cell were identified and assembled through rational protein engineering approaches to generate the final vaccine construct. Before computational validation, the safety of the selected epitopes was predicted through toxicity, allergenticity, and non-homology to human analyses, which resulted on positive results. Furthermore, the construct\u2019s physicochemical parameters were under acceptable values, as for the population coverage. This construct was subsequently analysed through molecular docking simulations to evaluate its interaction with host immune receptors. The obtained results demonstrated that the designed molecule could accomplish stable interactions with high affinity with the immune components, supporting its potential as a viable candidate for experimental validation and subsequent development.\n                  <\/jats:p>","DOI":"10.1515\/jib-2025-0062","type":"journal-article","created":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T10:57:18Z","timestamp":1792148238000},"source":"Crossref","is-referenced-by-count":0,"title":["<i>In silico<\/i>\n                    approach to\u00a0\n                    <i>Helicobacter pylori<\/i>\n                    vaccine design"],"prefix":"10.1515","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-0473-6544","authenticated-orcid":false,"given":"Sim\u00f3n","family":"Mari\u00f1o-Perea","sequence":"first","affiliation":[{"name":"Bioinformatics, Intelligent Systems and Educational Technology (BISITE) Research Group , Universidad de Salamanca , Salamanca , Spain"},{"name":"AIR Institute - Deep Tech Lab , Salamanca , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4254-5944","authenticated-orcid":false,"given":"\u00c1ngel","family":"Canal-Alonso","sequence":"additional","affiliation":[{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de Salamanca (IBSAL) , Salamanca , Spain"},{"name":"Microelectronics Lab, James Watt School of Engineering , University of Glasgow , Glasgow , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5109-3583","authenticated-orcid":false,"given":"Pablo","family":"Chamoso","sequence":"additional","affiliation":[{"name":"Instituto de Investigaci\u00f3n Biom\u00e9dica de Salamanca (IBSAL) , Salamanca , Spain"},{"name":"AIR Institute - Deep Tech Lab , Salamanca , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4813-4043","authenticated-orcid":false,"given":"Yeray","family":"Mezquita","sequence":"additional","affiliation":[{"name":"AIR Institute - Deep Tech Lab , Salamanca , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3500-4100","authenticated-orcid":false,"given":"Susel","family":"G\u00f3ngora","sequence":"additional","affiliation":[{"name":"AIR Institute - Deep Tech Lab , Salamanca , Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"374","published-online":{"date-parts":[[2026,10,19]]},"reference":[{"key":"2026101610571124408_j_jib-2025-0062_ref_001","doi-asserted-by":"crossref","unstructured":"Suerbaum, S, Michetti, P. 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