{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Kim DE"],"funding":["NIGMS NIH HHS"],"pubmed_abstract":["Francis Crick's global parameterization of coiled coil geometry has been widely useful for guiding design of new protein structures and functions. However, design guided by similar global parameterization of beta barrel structures has been less successful, likely due to the deviations from ideal barrel geometry required to maintain inter-strand hydrogen bonding without introducing backbone strain. Instead, beta barrels have been designed using 2D structural blueprints; while this approach has successfully generated new fluorescent proteins, transmembrane nanopores, and other structures, it requires expert knowledge and provides only indirect control over the global shape. Here we show that the simplicity and control over shape and structure provided by parametric representations can be gen"],"journal":["bioRxiv : the preprint server for biology"],"pagination":["2024.07.22.604663"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11291061"],"repository":["biostudies-literature"],"pubmed_title":["Parametrically guided design of beta barrels and transmembrane nanopores using deep learning."],"pmcid":["PMC11291061"],"funding_grant_id":["P30 GM133893"],"pubmed_authors":["Li X","Kang A","Kim DE","Watson JL","Baker D","Juergens D","Sonigra R","Gerben SR","Majumder S","Bera AK"],"additional_accession":[]},"is_claimable":false,"name":"Parametrically guided design of beta barrels and transmembrane nanopores using deep learning.","description":"Francis Crick's global parameterization of coiled coil geometry has been widely useful for guiding design of new protein structures and functions. However, design guided by similar global parameterization of beta barrel structures has been less successful, likely due to the deviations from ideal barrel geometry required to maintain inter-strand hydrogen bonding without introducing backbone strain. Instead, beta barrels have been designed using 2D structural blueprints; while this approach has successfully generated new fluorescent proteins, transmembrane nanopores, and other structures, it requires expert knowledge and provides only indirect control over the global shape. Here we show that the simplicity and control over shape and structure provided by parametric representations can be gen","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2026-05-02T03:22:02.962Z","creation":"2025-04-07T00:12:10.356Z"},"accession":"S-EPMC11291061","cross_references":{"pubmed":["39091726"],"doi":["10.1101/2024.07.22.604663"]}}