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dc.contributor.advisorManolis Kellis.en_US
dc.contributor.authorWolf, Maxim,Ph. D.(Maxim Y.)Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Computational and Systems Biology Program.en_US
dc.date.accessioned2020-09-25T20:04:09Z
dc.date.available2020-09-25T20:04:09Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127716
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, 2019en_US
dc.descriptionCataloged from the PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 87-90).en_US
dc.description.abstractIn this thesis I observe evolutionary signatures in coding regions to: (1) understand the sources of highly mutable coding regions in mammals; (2) to elucidate a new candidate function for a stop codon readthrough candidate gene, BRI3BP; and (3) to show how rapid sequence-based structure approximations can help predict the structural impact of amino-acid changes. (1) First, I searched for deviations from the evolutionary signatures of coding regions to recognize synonymous acceleration elements (SAEs) in protein coding genes. I showed that these are driven by an increased mutation rate, which persists in the human lineage, in otherwise evolutionarily-constrained protein-coding regions, providing an important resource to better characterize protein-coding constraint in mammals and within humans. (2) Second, I combined evolutionary signatures at the protein-coding and protein-folding level to characterize the functional implication of stop-codon readthrough in BRI3BP. I showed that this readthrough region has conserved spaced hydrophobic residues that pattern match to the -terminal helix forming a coiled-coil-like domain. This change alters BRI3BP function from pro-growth to pro-apoptotic, similarly to VEGF-A. This suggests that readthrough-triggered apoptosis may represent a general mechanism for limiting growth of cells with aberrant ribosomal termination. (3) Third, I used rapid protein-structure approximation of burial of residues based on protein sequence to predict the structural impact of amino acid alterations. I show that the prediction can be improved over using exclusively the hydrophobicity change of the residue. Overall my work demonstrates how evolutionary and structural signatures can be used to predict highly mutational gene regions, readthrough function and structural impact of mutation.en_US
dc.description.statementofresponsibilityby Maxim Wolf.en_US
dc.format.extent90 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectComputational and Systems Biology Program.en_US
dc.titleEvolutionary and structural signatures of protein-coding function : synonymous acceleration, read-through, and structural impact of mutationsen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computational and Systems Biology Programen_US
dc.identifier.oclc1196090379en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, Computational and Systems Biology Programen_US
dspace.imported2020-09-25T20:04:07Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentCSBen_US


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