Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pcbi.1002905
DC FieldValue
dc.titleViral Capsid Proteins Are Segregated in Structural Fold Space
dc.contributor.authorCheng S.
dc.contributor.authorBrooks III C.L.
dc.date.accessioned2019-11-06T09:26:59Z
dc.date.available2019-11-06T09:26:59Z
dc.date.issued2013
dc.identifier.citationCheng S., Brooks III C.L. (2013). Viral Capsid Proteins Are Segregated in Structural Fold Space. PLoS Computational Biology 9 (2) : e1002905. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1002905
dc.identifier.issn1553734X
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/161624
dc.description.abstractViral capsid proteins assemble into large, symmetrical architectures that are not found in complexes formed by their cellular counterparts. Given the prevalence of the signature jelly-roll topology in viral capsid proteins, we are interested in whether these functionally unique capsid proteins are also structurally unique in terms of folds. To explore this question, we applied a structure-alignment based clustering of all protein chains in VIPERdb filtered at 40% sequence identity to identify distinct capsid folds, and compared the cluster medoids with a non-redundant subset of protein domains in the SCOP database, not including the viral capsid entries. This comparison, using Template Modeling (TM)-score, identified 2078 structural "relatives" of capsid proteins from the non-capsid set, covering altogether 210 folds following the definition in SCOP. The statistical significance of the 210 folds shared by two sets of the same sizes, estimated from 10,000 permutation tests, is less than 0.0001, which is an upper bound on the p-value. We thus conclude that viral capsid proteins are segregated in structural fold space. Our result provides novel insight on how structural folds of capsid proteins, as opposed to their surface chemistry, might be constrained during evolution by requirement of the assembled cage-like architecture. Also importantly, our work highlights a guiding principle for virus-based nanoplatform design in a wide range of biomedical applications and materials science. © 2013 Cheng and Brooks, III.
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20191101
dc.subjectcapsid protein
dc.subjectnucleocapsid protein
dc.subjectvirus envelope protein
dc.subjectamino acid sequence
dc.subjectarticle
dc.subjectmolecular evolution
dc.subjectmolecular model
dc.subjectnonhuman
dc.subjectphysical chemistry
dc.subjectprotein analysis
dc.subjectprotein database
dc.subjectprotein domain
dc.subjectprotein folding
dc.subjectprotein function
dc.subjectprotein protein interaction
dc.subjectscoring system
dc.subjectstructure activity relation
dc.subjectstructure analysis
dc.subjectvirus capsid
dc.subjectCapsid Proteins
dc.subjectCluster Analysis
dc.subjectComputational Biology
dc.subjectDatabases, Protein
dc.subjectModels, Molecular
dc.subjectProtein Conformation
dc.subjectProtein Folding
dc.subjectSequence Alignment
dc.subjectSequence Analysis, Protein
dc.typeArticle
dc.contributor.departmentDUKE-NUS MEDICAL SCHOOL
dc.description.doi10.1371/journal.pcbi.1002905
dc.description.sourcetitlePLoS Computational Biology
dc.description.volume9
dc.description.issue2
dc.description.pagee1002905
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1371_journal_pcbi_1002905.pdf2.98 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons