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Accurate protein structure prediction: what comes next?

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dc.contributor.authorSeok, Chaok-
dc.contributor.authorBaek, Minkyung-
dc.contributor.authorMartin, Steinegger-
dc.contributor.authorPark, Hahnbeom-
dc.contributor.authorLee, Gyu Rie-
dc.contributor.authorWon, Jonghun-
dc.date.accessioned2024-05-16T01:27:52Z-
dc.date.available2024-05-16T01:27:52Z-
dc.date.created2022-01-03-
dc.date.created2022-01-03-
dc.date.issued2021-09-
dc.identifier.citationBiodesign, Vol.9 No.3, pp.47-50-
dc.identifier.issn2288-6982-
dc.identifier.urihttps://hdl.handle.net/10371/202554-
dc.description.abstractProtein structure prediction has become extremely accurate, and its results are now comparable with those of experimental methods for a large number of proteins. However, there remain some technical hurdles to clear before the current structure prediction tools can be directly applied to a wide range of biomedical problems. New perspectives on future developments in the area of structure prediction and its biomedical applications are presented.-
dc.language영어-
dc.publisher한국구조생물학회-
dc.titleAccurate protein structure prediction: what comes next?-
dc.typeArticle-
dc.identifier.doi10.34184/kssb.2021.9.3.47-
dc.citation.journaltitleBiodesign-
dc.citation.endpage50-
dc.citation.number3-
dc.citation.startpage47-
dc.citation.volume9-
dc.identifier.kciidART002756348-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorSeok, Chaok-
dc.contributor.affiliatedAuthorBaek, Minkyung-
dc.contributor.affiliatedAuthorMartin, Steinegger-
dc.description.journalClass2-
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Related Researcher

  • College of Natural Sciences
  • School of Biological Sciences
Research Area Development of algorithms to search, cluster and assemble sequence data, Metagenomic analysis, Pathogen detection in sequencing data

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