{"title":"Perspective on structure predictions of disorder.","authors":"Charles S Bond","doi":"10.1107/s2059798325008599","DOIUrl":null,"url":null,"abstract":"Low-confidence regions in computational protein models have been identified to represent a largely untapped resource that may contain valuable structural information.","PeriodicalId":501686,"journal":{"name":"Acta Crystallographica Section D","volume":"27 1","pages":"584"},"PeriodicalIF":0.0000,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Crystallographica Section D","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1107/s2059798325008599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Low-confidence regions in computational protein models have been identified to represent a largely untapped resource that may contain valuable structural information.