{"id":"https://openalex.org/W6911656894","doi":"https://doi.org/10.5281/zenodo.13228646","title":"Supplemental Material for 'Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space' and DeepUrfold","display_name":"Supplemental Material for 'Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space' and DeepUrfold","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W6911656894","doi":"https://doi.org/10.5281/zenodo.13228646"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.13228646","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13228646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.13228646","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Draizen, Eli J.","orcid":"https://orcid.org/0000-0002-5645-5050"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Draizen, Eli J.","raw_affiliation_strings":["University of Virginia"],"raw_orcid":"https://orcid.org/0000-0002-5645-5050","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Veretnik, Stella","orcid":"https://orcid.org/0000-0002-6222-7281"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Veretnik, Stella","raw_affiliation_strings":["University of Virginia"],"raw_orcid":"https://orcid.org/0000-0002-6222-7281","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mura, Cameron","orcid":"https://orcid.org/0000-0001-7985-2561"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mura, Cameron","raw_affiliation_strings":["University of Virginia"],"raw_orcid":"https://orcid.org/0000-0001-7985-2561","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bourne, Philip E.","orcid":"https://orcid.org/0000-0002-7618-7292"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bourne, Philip E.","raw_affiliation_strings":["University of Virginia"],"raw_orcid":"https://orcid.org/0000-0002-7618-7292","affiliations":[{"raw_affiliation_string":"University of Virginia","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6021000146865845},{"id":"https://openalex.org/keywords/fold","display_name":"Fold (higher-order function)","score":0.5705000162124634},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4424000084400177},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.43950000405311584},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.43639999628067017},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.29510000348091125}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6021000146865845},{"id":"https://openalex.org/C53942344","wikidata":"https://www.wikidata.org/wiki/Q951651","display_name":"Fold (higher-order function)","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47290000319480896},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4424000084400177},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.43950000405311584},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.40799999237060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38429999351501465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.34869998693466187},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.29510000348091125},{"id":"https://openalex.org/C66153294","wikidata":"https://www.wikidata.org/wiki/Q899291","display_name":"CASP","level":4,"score":0.2912999987602234},{"id":"https://openalex.org/C11804247","wikidata":"https://www.wikidata.org/wiki/Q896177","display_name":"Protein\u2013protein interaction","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C144292202","wikidata":"https://www.wikidata.org/wiki/Q898273","display_name":"Protein domain","level":3,"score":0.2768999934196472},{"id":"https://openalex.org/C2911029443","wikidata":"https://www.wikidata.org/wiki/Q21296145","display_name":"Human proteins","level":3,"score":0.27070000767707825},{"id":"https://openalex.org/C3018069271","wikidata":"https://www.wikidata.org/wiki/Q8054","display_name":"Structural protein","level":3,"score":0.25920000672340393},{"id":"https://openalex.org/C171897839","wikidata":"https://www.wikidata.org/wiki/Q417841","display_name":"Protein family","level":3,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.13228646","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13228646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.13228646","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.13228646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"provided":[1],"for":[2],"the":[3],"paper":[4],"Draizen,":[5],"EJ,":[6],"Veretnik,":[7],"S,":[8],"Mura,":[9],"C,":[10],"and":[11],"Bourne,":[12],"PE.":[13],"\"Deep":[14],"Generative":[15],"Models":[16],"of":[17],"Protein":[18],"Structure":[19],"Uncover":[20],"Distant":[21],"Relationships":[22],"Across":[23],"a":[24],"Continuous":[25],"Fold":[26],"Space.\"":[27],"Nature":[28],"Communications,":[29],"Aug.":[30],"2024.":[31]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}