{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:49:33Z","timestamp":1765547373542,"version":"build-2065373602"},"reference-count":43,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T00:00:00Z","timestamp":1737590400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Ministry of Science, Technological Development and Innovation of the Republic of Serbia","award":["451-03-66\/2024-03\/200017","451-03-66\/2024-03\/200177"],"award-info":[{"award-number":["451-03-66\/2024-03\/200017","451-03-66\/2024-03\/200177"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Life"],"abstract":"<jats:p>Mannose-specific lectins are carbohydrate-binding proteins known for their antiviral potential. This study uses a bioinformatic approach to investigate the possibility of lectins from Allium sativum (garlic) and Allium ursinum (wild garlic) as inhibitors of SARS-CoV-2 entry. The information spectrum method (ISM) identified key interaction frequencies between the SARS-CoV-2 spike protein and these lectins, explicitly targeting the receptor-binding domain (RBD) and glycosylated asparagine residues, including N234. Lectins from Allium species showed a high affinity for oligomannose-type glycans on the spike protein, potentially blocking virus entry by preventing the spike-ACE2 receptor interaction. We propose that Allium lectins are promising candidates for further experimental validation as SARS-CoV-2 inhibitors, offering potential therapeutic applications in managing viral infections.<\/jats:p>","DOI":"10.3390\/life15020162","type":"journal-article","created":{"date-parts":[[2025,1,23]],"date-time":"2025-01-23T12:24:09Z","timestamp":1737635049000},"page":"162","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Bioinformatic Selection of Mannose-Specific Lectins from Allium genus as SARS-CoV-2 Inhibitors Analysing Protein\u2013Protein Interaction"],"prefix":"10.3390","volume":"15","author":[{"given":"Stefan","family":"Isakovi\u0107","sequence":"first","affiliation":[{"name":"Independent Researcher, 11222 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7296-3223","authenticated-orcid":false,"given":"Milan","family":"Sen\u0107anski","sequence":"additional","affiliation":[{"name":"Laboratory of Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, National Institute of the Republic of Serbia, University of Belgrade, 11001 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vladimir","family":"Perovi\u0107","sequence":"additional","affiliation":[{"name":"Laboratory of Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, National Institute of the Republic of Serbia, University of Belgrade, 11001 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-7066-426X","authenticated-orcid":false,"given":"Kristina","family":"Stevanovi\u0107","sequence":"additional","affiliation":[{"name":"Laboratory of Bioinformatics and Computational Chemistry, Institute of Nuclear Sciences Vinca, National Institute of the Republic of Serbia, University of Belgrade, 11001 Belgrade, Serbia"},{"name":"Department of Computational Biochemistry and Drug Design, National Institute of Chemistry, 1000 Ljubljana, Slovenia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0604-9246","authenticated-orcid":false,"given":"Ivana","family":"Prodi\u0107","sequence":"additional","affiliation":[{"name":"Institute of Virology, Vaccines and Sera \u201cTorlak\u201d, Vojvode Stepe 458, 11042 Belgrade, Serbia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nabi-Afjadi, M., Heydari, M., Zalpoor, H., Arman, I., Sadoughi, A., Sahami, P., and Aghazadeh, S. 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