Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/344
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dc.contributor.authorMalkov, Sašaen_US
dc.contributor.authorZivković, Miodrag Ven_US
dc.contributor.authorBeljanski, Milos Ven_US
dc.contributor.authorHall, Michael Ben_US
dc.contributor.authorZarić, Snezana Den_US
dc.date.accessioned2022-08-10T12:10:01Z-
dc.date.available2022-08-10T12:10:01Z-
dc.date.issued2008-
dc.identifier.issn16102940en
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/344-
dc.description.abstractThe correlation between the primary and secondary structures of proteins was analysed using a large data set from the Protein Data Bank. Clear preferences of amino acids towards certain secondary structures classify amino acids into four groups: alpha-helix preferrers, strand preferrers, turn and bend preferrers, and His and Cys (the latter two amino acids show no clear preference for any secondary structure). Amino acids in the same group have similar structural characteristics at their Cbeta and Cgamma atoms that predicts their preference for a particular secondary structure. All alpha-helix preferrers have neither polar heteroatoms on Cbeta and Cgamma atoms, nor branching or aromatic group on the Cbeta atom. All strand preferrers have aromatic groups or branching groups on the Cbeta atom. All turn and bend preferrers have a polar heteroatom on the Cbeta or Cgamma atoms or do not have a Cbeta atom at all. These new rules could be helpful in making predictions about non-natural amino acids.en
dc.language.isoenen
dc.relation.ispartofJournal of molecular modelingen_US
dc.subjectAmino aciden
dc.subjectProteinen
dc.subjectProtein secondary structureen
dc.subjectStatistical correlationen
dc.subject.meshAmino Acid Sequenceen
dc.subject.meshAmino Acidsen
dc.subject.meshComputer Simulationen
dc.subject.meshModels, Chemicalen
dc.subject.meshProtein Structure, Secondaryen
dc.titleA reexamination of the propensities of amino acids towards a particular secondary structure: classification of amino acids based on their chemical structureen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00894-008-0313-0-
dc.identifier.pmid18504624-
dc.identifier.scopus2-s2.0-47249128045-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/47249128045-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage769en_US
dc.relation.lastpage775en_US
dc.relation.volume14en_US
dc.relation.issue8en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-4385-6322-
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