In Silico Protein Motif Discovery and Structural Analysis

DC FieldValueLanguage
dc.contributor.authorMooney, Catherine-
dc.contributor.authorDavey, Norman E.-
dc.contributor.authorMartin, Alberto J. M.-
dc.contributor.authorWalsh, Ian-
dc.contributor.authorShields, Denis C.-
dc.contributor.authorPollastri, Gianluca-
dc.date.accessioned2022-09-20T15:54:49Z-
dc.date.available2022-09-20T15:54:49Z-
dc.date.issued2011-06-30-
dc.identifier.isbn978-1-61779-175-8-
dc.identifier.urihttp://hdl.handle.net/10197/13126-
dc.description.abstractA wealth of in silico tools is available for protein motif discovery and structural analysis. The aim of this chapter is to collect some of the most common and useful tools and to guide the biologist in their use. A detailed explanation is provided for the use of Distill, a suite of web servers for the prediction of protein structural features and the prediction of full-atom 3D models from a protein sequence. Besides this, we also provide pointers to many other tools available for motif discovery and secondary and tertiary structure prediction from a primary amino acid sequence. The prediction of protein intrinsic disorder and the prediction of functional sites and SLiMs are also briefly discussed. Given that user queries vary greatly in size, scope and character, the trade-offs in speed, accuracy and scale need to be considered when choosing which methods to adopt.en_US
dc.description.sponsorshipHealth Research Boarden_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofYu, B. and Hinchcliffe, M. (eds.). In Silico Tools for Gene Discoveryen_US
dc.relation.ispartofseriesMethods in Molecular Biologyen_US
dc.relation.ispartofseries760en_US
dc.rightsThe final publication is available at www.springerlink.com.en_US
dc.subjectProtein structure predictionen_US
dc.subjectSecondary structureen_US
dc.subjectDisorderen_US
dc.subjectFunctional sitesen_US
dc.subjectSLiMsen_US
dc.subjectShort linear motifsen_US
dc.subjectStructure predictionen_US
dc.subjectSecondary structureen_US
dc.subjectSolvent accessibilityen_US
dc.subjectFunctional sitesen_US
dc.subjectMinimotif mineren_US
dc.subjectAb-initioen_US
dc.subjectServeren_US
dc.subjectWeben_US
dc.subjectSequenceen_US
dc.titleIn Silico Protein Motif Discovery and Structural Analysisen_US
dc.typeBook Chapteren_US
dc.internal.authorcontactothercatherine.mooney@ucd.ieen_US
dc.statusPeer revieweden_US
dc.identifier.doi10.1007/978-1-61779-176-5_21-
dc.neeo.contributorMooney|Catherine|aut|-
dc.neeo.contributorDavey|Norman E.|aut|-
dc.neeo.contributorMartin|Alberto J. M.|aut|-
dc.neeo.contributorWalsh|Ian|aut|-
dc.neeo.contributorShields|Denis C.|aut|-
dc.neeo.contributorPollastri|Gianluca|aut|-
dc.description.othersponsorshipEMBL Interdisciplinary Postdoc (EIPOD) fellowshipen_US
dc.description.othersponsorshipUCD President's Awarden_US
dc.date.updated2021-09-27T19:30:48Z-
dc.identifier.grantidRP/2005/219-
dc.identifier.grantidSF371-
dc.identifier.grantid05/RFP/CMS0029-
dc.identifier.grantid08/IN.1/B1864-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Conway Institute Research Collection
Computer Science Research Collection
CASL Research Collection
Medicine Research Collection
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