Protein Structure Annotations

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dc.contributor.authorTorrisi, Mirko-
dc.contributor.authorPollastri, Gianluca-
dc.date.accessioned2019-05-07T11:57:04Z-
dc.date.available2019-05-07T11:57:04Z-
dc.date.copyright2019 Springer Nature Switzerlanden_US
dc.date.issued2019-03-28-
dc.identifier.isbn978-3-030-02633-2-
dc.identifier.urihttp://hdl.handle.net/10197/10316-
dc.description.abstractThis chapter aims to introduce to the specifics of protein structure annotations and their fundamental position in structural bioinformatics, bioinformatics in general. Proteins are profoundly characterised by their structure in every aspect of their functioning and, while over the last decades there has been a close to exponential growth of known protein sequences, the growth of known protein structures has been closer to linear because of the high complexity and cost of determining them. Thus, protein structure predictors are among the most thoroughly assessed tools in bioinformatics (in venues such as CASP or CAMEO) because they allow the structural study of proteins on a large scale. This chapter presents the key types of protein structure annotation and the methods and algorithms for predicting them, with the aim to give both a historical perspective on their development and a snapshot of their current state of the art. From one-dimensional protein annotations – i.e. secondary structure, solvent accessibility and torsion angles – to more complex and informative two-dimensional protein abstractions, i.e. contact maps, both mature and currently developing methods for protein structure annotations are introduced. The aim of this overview is to facilitate the adoption and development of state-of-the-art protein structural predictors. Particular attention is given to some of the best performing and freely available web servers and standalone programmes to predict protein structure annotations.en_US
dc.description.sponsorshipIrish Research Councilen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofShaik, N.A., Hakeem, K.R., Banaganapalli, B., Elango, R. (eds.). Essentials of Bioinformaticsen_US
dc.relation.ispartofseriesEssentials of Bioinformatics, Volume I Understanding Bioinformatics: Genes to Proteinsen_US
dc.rightsThe final publication is available at www.springerlink.com.en_US
dc.subjectProtein structure annotationsen_US
dc.subjectSecondary structure predictionen_US
dc.subjectSolvent accessibility predictionen_US
dc.subjectTorsional angles predictionen_US
dc.subjectContact map predictionen_US
dc.titleProtein Structure Annotationsen_US
dc.typeBook Chapteren_US
dc.statusPeer revieweden_US
dc.identifier.doi10.1007/978-3-030-02634-9_10-
dc.neeo.contributorTorrisi|Mirko|aut|-
dc.neeo.contributorPollastri|Gianluca|aut|-
dc.date.embargo2021-03-29en_US
dc.description.admin24 month embargo - ACen_US
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Computer Science Research Collection
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