{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T14:46:56Z","timestamp":1792680416186,"version":"4.5.0"},"reference-count":61,"publisher":"Oxford University Press (OUP)","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100003141","name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003141","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>To evaluate the antifungal activity, selectivity, stability, and cellular responses associated with a machine learning (ML)-identified cationic antimicrobial peptide against\u00a0Candida.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and results<\/jats:title>\n                    <jats:p>Using an ML-guided identification strategy, four candidate peptides were selected and synthesized for broad antimicrobial screening against Gram-negative and Gram-positive bacteria, as well as\u00a0Candida albicans. Peptide 2 (P2) showed the most favorable activity profile and was selected for further characterization. Given the clinical relevance of Candida infections, subsequent characterization focused on the antifungal activity of P2. P2 was then tested against two C. albicans reference strains (SC5314 and ATCC 10231) and two non-albicans Candida clinical isolates (C. glabrata BG2 and C. parapsilosis Cp29). P2 inhibited both C. albicans strains and C. parapsilosis Cp29 at 62.5\u00a0\u00b5M, whereas C. glabrata BG2 was less susceptible (MIC, 250\u00a0\u00b5M). Hemolysis reached 12% at 500\u00a0\u00b5M, while no significant reduction in 293T-cell viability was observed up to 50\u00a0\u00b5M; marked cytotoxicity occurred at 500\u00a0\u00b5M. P2 retained antibacterial activity after exposure to 100\u00b0C for 15\u00a0min. Post-exposure viable-cell recovery showed strain-dependent effects, while flow cytometry revealed strain-dependent changes in CellROX Orange- and SYTOX Blue-positive populations, consistent with oxidative stress and compromised membrane integrity following P2 exposure.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>P2 displayed antifungal activity against C. albicans and non-albicans Candida strains, with strain-dependent susceptibility and cellular responses. Its low hemolytic activity, limited cytotoxicity at lower concentrations, and retained antibacterial activity after heat exposure support further characterization of P2 as an antifungal peptide candidate.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/jambio\/lxag256","type":"journal-article","created":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T11:44:43Z","timestamp":1792496683000},"source":"Crossref","is-referenced-by-count":0,"title":["Machine learning-guided identification and experimental characterization of a cationic antifungal peptide active against\n                    <i>Candida<\/i>"],"prefix":"10.1093","volume":"137","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2842-7300","authenticated-orcid":false,"given":"Elizabeth","family":"Ponce-Rivas","sequence":"first","affiliation":[{"name":"Departamento de Biotecnolog\u00eda Marina, Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada , Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada, Baja California, CP 22860 ,","place":["M\u00e9xico"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura Ang\u00e9lica Ibeth","family":"Alvarez\u00a0Lee","sequence":"additional","affiliation":[{"name":"Departamento de Biotecnolog\u00eda Marina, Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada , Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada, Baja California, CP 22860 ,","place":["M\u00e9xico"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7633-8129","authenticated-orcid":false,"given":"Pierrick G J","family":"Fournier","sequence":"additional","affiliation":[{"name":"Departamento de Innovaci\u00f3n Biom\u00e9dica, Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada , Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada, Baja California, CP 22860 ,","place":["M\u00e9xico"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria Dolores","family":"Camacho-L\u00f3pez","sequence":"additional","affiliation":[{"name":"Departamento de Biotecnolog\u00eda Marina, Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada , Carretera Ensenada-Tijuana 3918, Zona Playitas, Ensenada, Baja California, CP 22860 ,","place":["M\u00e9xico"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alejandro","family":"S\u00e1nchez","sequence":"additional","affiliation":[{"name":"Facultad de Ciencias, Universidad Aut\u00f3noma de Baja California , Carretera Ensenada-Tijuana No. 3917, Frac. 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