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dc.contributor.authorOgbunugafor, C. Brandonen_US
dc.contributor.authorHartl, Daniel L.en_US
dc.date.accessioned2016-12-02T15:26:07Z
dc.date.issued2016en_US
dc.identifier.citationOgbunugafor, C. Brandon, and Daniel L. Hartl. 2016. “A New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolution.” PLoS Computational Biology 12 (10): e1005046. doi:10.1371/journal.pcbi.1005046. http://dx.doi.org/10.1371/journal.pcbi.1005046.en
dc.identifier.issn1553-734Xen
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:29626202
dc.description.abstractMuch of the public lacks a proper understanding of Darwinian evolution, a problem that can be addressed with new learning and teaching approaches to be implemented both inside the classroom and in less formal settings. Few analogies have been as successful in communicating the basics of molecular evolution as John Maynard Smith’s protein space analogy (1970), in which he compared protein evolution to the transition between the terms WORD and GENE, changing one letter at a time to yield a different, meaningful word (in his example, the preferred path was WORD → WORE → GORE → GONE → GENE). Using freely available computer science tools (Google Books Ngram Viewer), we offer an update to Maynard Smith’s analogy and explain how it might be developed into an exploratory and pedagogical device for understanding the basics of molecular evolution and, more specifically, the adaptive landscape concept. We explain how the device works through several examples and provide resources that might facilitate its use in multiple settings, ranging from public engagement activities to formal instruction in evolution, population genetics, and computational biology.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pcbi.1005046en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5063322/pdf/en
dash.licenseLAAen_US
dc.subjectBiology and Life Sciencesen
dc.subjectEvolutionary Biologyen
dc.subjectMolecular Evolutionen
dc.subjectEvolutionary Geneticsen
dc.subjectMedicine and Health Sciencesen
dc.subjectPublic and Occupational Healthen
dc.subjectPhysical Activityen
dc.subjectPhysical Fitnessen
dc.subjectGeneticsen
dc.subjectAnimal Geneticsen
dc.subjectBird Geneticsen
dc.subjectComputational Biologyen
dc.subjectSocial Sciencesen
dc.subjectLinguisticsen
dc.subjectCognitive Linguisticsen
dc.subjectAnalogiesen
dc.subjectMicrobiologyen
dc.subjectMicrobial Controlen
dc.subjectAntimicrobial Resistanceen
dc.subjectPharmacologyen
dc.titleA New Take on John Maynard Smith's Concept of Protein Space for Understanding Molecular Evolutionen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS Computational Biologyen
dash.depositing.authorHartl, Daniel L.en_US
dc.date.available2016-12-02T15:26:07Z
dc.identifier.doi10.1371/journal.pcbi.1005046*
dash.contributor.affiliatedHartl, Daniel


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