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dc.rights.licenseopenen_US
dc.contributor.authorBOUVIER, Guillaume
dc.contributor.authorBARDIAUX, Benjamin
dc.contributor.authorPELLARIN, Riccardo
hal.structure.identifierMicrobiologie Fondamentale et Pathogénicité [MFP]
dc.contributor.authorRAPISARDA, Chiara
dc.contributor.authorNILGES, Michael
dc.date.accessioned2023-05-15T07:23:21Z
dc.date.available2023-05-15T07:23:21Z
dc.date.issued2022-09-13
dc.identifier.issn2218-273Xen_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/182105
dc.description.abstractEnElectron cryo-microscopy (cryo-EM) has emerged as a powerful method by which to obtain three-dimensional (3D) structures of macromolecular complexes at atomic or near-atomic resolution. However, de novo building of atomic models from near-atomic resolution (3–5 Å) cryo-EM density maps is a challenging task, in particular because poorly resolved side-chain densities hamper sequence assignment by automatic procedures at a lower resolution. Furthermore, segmentation of EM density maps into individual subunits remains a difficult problem when the structure of the subunits is not known, or when significant conformational rearrangement occurs between the isolated and associated form of the subunits. To tackle these issues, we have developed a graph-based method to thread most of the C-α trace of the protein backbone into the EM density map. The EM density is described as a weighted graph such that the resulting minimum spanning tree encompasses the high-density regions of the map. A pruning algorithm cleans the tree and finds the most probable positions of the C-α atoms, by using side-chain density when available, as a collection of C-α trace fragments. By complementing experimental EM maps with contact predictions from sequence co-evolutionary information, we demonstrate that this approach can correctly segment EM maps into individual subunits and assign amino acid sequences to backbone traces to generate atomic models.
dc.description.sponsorshipInstitut Convergences pour l'étude de l'Emergence des Pathologies au Travers des Individus et des populatiONs - ANR-16-CONV-0005en_US
dc.language.isoENen_US
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.subject.encryo-EM
dc.subject.enco-evolution
dc.subject.enmodel building
dc.subject.enminimum spanning tree
dc.subject.entype 6 secretion system
dc.title.enBuilding Protein Atomic Models from Cryo-EM Density Maps and Residue Co-Evolution
dc.typeArticle de revueen_US
dc.identifier.doi10.3390/biom12091290en_US
dc.subject.halSciences du Vivant [q-bio]/Biochimie, Biologie Moléculaire/Biophysiqueen_US
dc.subject.halSciences du Vivant [q-bio]/Biochimie, Biologie Moléculaire/Biologie moléculaireen_US
bordeaux.journalBiomoleculesen_US
bordeaux.page1290en_US
bordeaux.volume12en_US
bordeaux.hal.laboratoriesMFP (Laboratoire Microbiologie Fondamentale et Pathogénicité) - UMR 5234en_US
bordeaux.issue9en_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierpasteur-03840876
hal.version1
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Biomolecules&rft.date=2022-09-13&rft.volume=12&rft.issue=9&rft.spage=1290&rft.epage=1290&rft.eissn=2218-273X&rft.issn=2218-273X&rft.au=BOUVIER,%20Guillaume&BARDIAUX,%20Benjamin&PELLARIN,%20Riccardo&RAPISARDA,%20Chiara&NILGES,%20Michael&rft.genre=article


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