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Antimicrobial peptides (AMPs) offer a promising avenue for the development of new treatments targeting\n                    <jats:italic>C. acnes<\/jats:italic>\n                    . In this study, to design peptides with the specific inhibitory activity against\n                    <jats:italic>C. acnes<\/jats:italic>\n                    , we employed a deep learning pipeline with generators and classifiers, using transfer learning and pretrained protein embeddings, trained on publicly available data. To enhance the training data specific to\n                    <jats:italic>C. acnes<\/jats:italic>\n                    inhibition, we constructed a phylogenetic tree. A panel of 42 novel generated linear peptides was then synthesized and experimentally evaluated for their antimicrobial selectivity and activity. Five of them demonstrated their high potency and selectivity against\n                    <jats:italic>C. acnes<\/jats:italic>\n                    with MIC of 2\u20134\u00a0\u00b5g\/mL. Our findings highlight the potential of these designed peptides as promising candidates for anti-acne therapeutics and demonstrate the power of computational approaches for the rational design of targeted antimicrobial peptides.\n                  <\/jats:p>","DOI":"10.1038\/s41598-024-55205-3","type":"journal-article","created":{"date-parts":[[2024,2,24]],"date-time":"2024-02-24T06:02:20Z","timestamp":1708754540000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning"],"prefix":"10.1038","volume":"14","author":[{"given":"Qichang","family":"Dong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shaohua","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Miao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heng","family":"Luo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zuquan","family":"Weng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lun","family":"Yu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,24]]},"reference":[{"key":"55205_CR1","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/bs.mie.2021.11.003","volume":"663","author":"A Cesaro","year":"2022","unstructured":"Cesaro, A., Torres, M. 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