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Editorial overview: artificial intelligence (AI) methodologies in structural biology

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dc.contributor.coauthorCheng, Feixiong
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.departmentSchool of Medicine
dc.contributor.facultymemberYes
dc.contributor.kuauthorTunçbağ, Nurcan
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-11-09T23:07:25Z
dc.date.issued2022
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipThis work was supported by the National Institute of Aging (NIA) of the National Institutes of Health (NIH) under Award Number R01AG066707, U01AG073323, 3R01AG066707-01S1 and 1R56AG074001-01 to F.C. This work was supported in part by NIH Research Grant 3R01AG066707-02S1 funded by the Office of Data Science Strategy (ODSS).
dc.description.studentonlypublicationNo
dc.description.studentpublicationNo
dc.description.versionN/A
dc.identifier.doi10.1016/j.sbi.2022.102387
dc.identifier.eissn1879-033X
dc.identifier.embargoN/A
dc.identifier.grantnoR01AG066707
dc.identifier.grantnoU01AG073323
dc.identifier.grantno3R01AG066707-01S1
dc.identifier.grantno1R56AG074001-01
dc.identifier.grantno3R01AG066707-02S1
dc.identifier.issn0959-440X
dc.identifier.pubmed35589509
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85130323977
dc.identifier.urihttps://doi.org/10.1016/j.sbi.2022.102387
dc.identifier.urihttps://hdl.handle.net/20.500.14288/9143
dc.identifier.volume74
dc.identifier.wos000829029500023
dc.keywordsArtificial intelligence
dc.keywordsStructural biology
dc.keywordsDrug discovery
dc.keywordsProtein structure prediction
dc.keywordsDeep learning
dc.keywordsMachine learning
dc.keywordsProtein-protein interactions
dc.keywordsAlphaFold
dc.language.isoeng
dc.publisherElsevier
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofCurrent Opinion in Structural Biology
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectStructural biology
dc.subjectBioinformatics
dc.subjectComputer science
dc.titleEditorial overview: artificial intelligence (AI) methodologies in structural biology
dc.typeOther
dspace.entity.typePublication
local.contributor.kuauthorTunçbağ, Nurcan
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