Structural Metrics Predict Site-Specific Evolutionary Rate in Membrane Bound Proteins

dc.contributor.advisorWilke, Claus O.en
dc.creatorDu, Xuezhenen
dc.date.accessioned2016-05-12T13:33:38Z
dc.date.available2016-05-12T13:33:38Z
dc.date.issued2016en
dc.description.abstractMembrane proteins are involved in many critical biological processes and mutations are linked to various diseases. We examined how the properties of the location of an amino acid residue within the protein structure dictates the rate at which it evolves. We tested 3 structural metrics: WCNSC, WCNCA and RSA for their effectiveness at predicting evolutionary rates within membrane proteins. WCNSC performed better than WCNCA in almost all cases and better than RSA in the majority. However, for some classes of proteins, especially those where the pore is a major feature, the effectiveness of WCN greatly diminished while that of RSA decreased by a lesser degree.en
dc.description.departmentIntegrative Biologyen
dc.identifierdoi:10.15781/T26C2Gen
dc.identifier.urihttp://hdl.handle.net/2152/35390en
dc.language.isoengen
dc.relation.ispartofHonors Thesesen
dc.rights.restrictionOpenen
dc.subjectprotein evolutionen
dc.subjectrelative solvent accessibilityen
dc.subjectweighted contact numberen
dc.titleStructural Metrics Predict Site-Specific Evolutionary Rate in Membrane Bound Proteinsen
dc.typeThesisen

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