AlphaFold predicts the most complex protein knot and composite protein knots

dc.contributor.authorBrems, Maarten A.
dc.contributor.authorRunkel, Robert
dc.contributor.authorYeates, Todd O.
dc.contributor.authorVirnau, Peter
dc.date.accessioned2023-02-02T10:50:42Z
dc.date.available2023-02-02T10:50:42Z
dc.date.issued2022
dc.description.abstractThe computer artificial intelligence system AlphaFold has recently predicted previously unknown three-dimensional structures of thousands of proteins. Focusing on the subset with high-confidence scores, we algorithmically analyze these predictions for cases where the protein backbone exhibits rare topological complexity, that is, knotting. Amongst others, we discovered a 71-knot, the most topologically complex knot ever found in a protein, as well several six-crossing composite knots comprised of two methyltransferase or carbonic anhydrase domains, each containing a simple trefoil knot. These deeply embedded composite knots occur evidently by gene duplication and interconnection of knotted dimers. Finally, we report two new five-crossing knots including the first 51-knot. Our list of analyzed structures forms the basis for future experimental studies to confirm these novel-knotted topologies and to explore their complex folding mechanisms.en_GB
dc.description.sponsorshipGefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491381577
dc.identifier.doihttp://doi.org/10.25358/openscience-8709
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/8725
dc.language.isoeng
dc.rightsCC-BY-4.0
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc530 Physikde_DE
dc.subject.ddc530 Physicsen_GB
dc.titleAlphaFold predicts the most complex protein knot and composite protein knotsen_GB
dc.typeZeitschriftenaufsatzde_DE
jgu.apc.netprice0
jgu.apc.price0
jgu.apc.transformationcontractWiley (DEAL)
jgu.dfg.year2022
jgu.journal.issue8
jgu.journal.titleProtein science
jgu.journal.volume31
jgu.nationalcurrency.eur0
jgu.organisation.departmentFB 08 Physik, Mathematik u. Informatikde_DE
jgu.organisation.nameJohannes Gutenberg-Universität Mainzde_DE
jgu.organisation.number7940
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.publisher.doi10.1002/pro.4380
jgu.publisher.issn1469-896X
jgu.publisher.nameJohn Wiley & Sons, Ltd
jgu.publisher.placeHoboken, NJ
jgu.publisher.year2022
jgu.rights.accessrightsopenAccessen_GB
jgu.subject.ddccode530
jgu.subject.dfgNaturwissenschaftende_DE
jgu.type.contenttypeScientific articleen_GB
jgu.type.dinitypeArticleen_GB
jgu.type.resourceTexten_GB
jgu.type.versionPublished versionen_GB

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