{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T17:26:30Z","timestamp":1786987590086,"version":"build-2736575974"},"reference-count":19,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Peptide Science"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>\n                    Excess reactive oxygen species generated by ultraviolet exposure cause photoaging by degrading collagen and inhibiting its synthesis. This study presents a comprehensive strategy connecting the biological stress responses of \u03b3\u2010irradiated microorganisms to the discovery of novel anti\u2010photoaging peptides. We profiled the radiation\u2010regulated transcriptomes of\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>Deinococcus radiodurans<\/jats:italic>\n                    <\/jats:styled-content>\n                    and\n                    <jats:styled-content style=\"fixed-case\">\n                      <jats:italic>Cryptococcus neoformans<\/jats:italic>\n                    <\/jats:styled-content>\n                    , focusing on DNA repair and oxidative stress responses. From these datasets, peptide libraries were generated in silico, filtered for biochemical properties, and prioritized using a seven\u2010classifier machine\u2010learning algorithm. Structural validity was established using Rosetta FlexPepDocking against the KEAP1\u2013NRF2 pocket, which identified 48 docking\u2010positive sequences. We then synthesized the top 21 peptides and subjected them to in\u00a0vitro validation. Seven of these candidate peptides inhibited collagenase activity at 200\u2009\u03bcM. Among them, four peptides dose\u2010dependently increased the procollagen type I C\u2010peptide level in ultraviolet B\u2010induced fibroblasts. Furthermore, these peptides significantly elevated COL1A1 mRNA levels while simultaneously reducing MMP1 and MMP9 transcript and protein levels. In summary, this study provides an integrated strategy that combines omics, machine learning, and docking to discover promising peptide candidates, which were validated through in\u00a0vitro assessments. This approach offers promising anti\u2010photoaging candidates that can be applied to other oxidative stress pathways and biological resources.\n                  <\/jats:p>","DOI":"10.1002\/psc.70115","type":"journal-article","created":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:37:52Z","timestamp":1782967072000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrative Identification of Anti\u2010Photoaging Peptides From Stress\u2010Tolerant Microorganisms via Machine Learning and KEAP1\u2013NRF2 Docking"],"prefix":"10.1002","volume":"32","author":[{"given":"Hanui","family":"Lee","sequence":"first","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gyeong Han","family":"Jeong","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Wan","family":"Choi","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"},{"name":"Department of Radiation Science University of Science and Technology (UST)  Daejeon Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taehwan","family":"Kim","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Younhee","family":"Shin","sequence":"additional","affiliation":[{"name":"Research and Development Center Insilicogen Inc  Yongin\u2010si Gyeonggi\u2010do Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jaewon","family":"Lim","sequence":"additional","affiliation":[{"name":"Research and Development Center Insilicogen Inc  Yongin\u2010si Gyeonggi\u2010do Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kwang\u2010Woo","family":"Jung","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Byung Yeoup","family":"Chung","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seung Sik","family":"Lee","sequence":"additional","affiliation":[{"name":"Research Division for Biotechnology, Advanced Radiation Technology Institute (ARTI) Korea Atomic Energy Research Institute (KAERI)  Jeongeup Republic of Korea"},{"name":"Department of Radiation Science University of Science and Technology (UST)  Daejeon Republic of 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