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dc.creatorTeufel, AI
dc.creatorRitchie, AM
dc.creatorWilke, CO
dc.creatorLiberles, DA
dc.date.accessioned2020-12-14T18:56:51Z
dc.date.available2020-12-14T18:56:51Z
dc.date.issued2018-08-13
dc.identifier.issn2073-4425
dc.identifier.issn2073-4425
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/4392
dc.identifier.otherGS4LU (isidoc)
dc.identifier.other30104502 (pubmed)
dc.identifier.urihttp://hdl.handle.net/20.500.12613/4410
dc.description.abstract© 2018 by the authors. Licensee MDPI, Basel, Switzerland. When mutational pressure is weak, the generative process of protein evolution involves explicit probabilities of mutations of different types coupled to their conditional probabilities of fixation dependent on selection. Establishing this mechanistic modeling framework for the detection of selection has been a goal in the field of molecular evolution. Building on a mathematical framework proposed more than a decade ago, numerous methods have been introduced in an attempt to detect and measure selection on protein sequences. In this review, we discuss the structure of the original model, subsequent advances, and the series of assumptions that these models operate under.
dc.format.extent409-409
dc.language.isoen
dc.relation.haspartGenes
dc.relation.isreferencedbyMDPI AG
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectevolutionary modeling
dc.subjectprotein evolution
dc.subjectmutation-selection models
dc.titleUsing the mutation-selection framework to characterize selection on protein sequences
dc.typeArticle
dc.type.genreReview
dc.type.genreJournal
dc.relation.doi10.3390/genes9080409
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.creator.orcidLiberles, David A|0000-0003-3487-8826
dc.date.updated2020-12-14T18:56:45Z
refterms.dateFOA2020-12-14T18:56:51Z


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