{"title":"Next-generation de novo luciferases: How artificial intelligence is improving its own designs at light speed","authors":"Yosta de Stigter, Maarten Merkx","doi":"10.1016/j.chempr.2025.102491","DOIUrl":null,"url":null,"abstract":"Advances in artificial intelligence are revolutionizing protein design, and new methods are emerging rapidly. In this issue of <em>Chem</em>, Yeh and co-workers leverage recent deep-learning-based tools to create a series of improved <em>de novo</em> luciferases and color variants that successfully address the limitations of native luciferases.","PeriodicalId":268,"journal":{"name":"Chem","volume":"28 1","pages":""},"PeriodicalIF":19.1000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.chempr.2025.102491","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Advances in artificial intelligence are revolutionizing protein design, and new methods are emerging rapidly. In this issue of Chem, Yeh and co-workers leverage recent deep-learning-based tools to create a series of improved de novo luciferases and color variants that successfully address the limitations of native luciferases.
期刊介绍：
Chem, affiliated with Cell as its sister journal, serves as a platform for groundbreaking research and illustrates how fundamental inquiries in chemistry and its related fields can contribute to addressing future global challenges. It was established in 2016, and is currently edited by Robert Eagling.
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