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- W2980686347 abstract "A major goal in the study of molecular evolution is to elucidate properties of ancestral proteins and to understand their adaption induced by changes in the environment. Due to the lack of macromolecular fossils, ancestral sequence reconstruction (ASR) is the only alternative to deduce sequences for evolutionary precursors of extant proteins. Within the last years, ancestral proteins were inferred spanning a time-period of more than 3 billion years. Ancestral proteins from eubacteria, archaea, yeast, and vertebrates could be reconstructed. Thus, ASR yielded insights into the early history of life and the evolution of proteins and of macromolecular complexes. Moreover, it turned out that ASR is an effiecient method of protein design, because the reconstructed sequences often possess favorable properties like an increased thermostability. The popularity and efficacy of ASR benefitted from improvements in DNA sequencing technology, the enormous rise of computer power and the refinements of algorithms for sequence and phylogenetic analyses to be seen during the last decades. Thus, elaborated ASR methods are at hand nowadays that can be applied to a variety of evolutionary problems. For an ASR application, the user has however to pick representatives from an overwhelming number of sequences, which is no trivial task. To advance ASR technology and to assist the user, the first part of this thesis focusses on the design of a standardized ASR protocol and the development of a novel filter aimed at facilitating sequence selection. In the second part, ASR is used as a method to elucidate properties of an ancestral enzyme complex and to identify protein-protein interaction hotspots." @default.
- W2980686347 created "2019-10-25" @default.
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- W2980686347 date "2019-09-09" @default.
- W2980686347 modified "2023-09-27" @default.
- W2980686347 title "Ancestral Sequence Reconstruction: Methods and Applications" @default.
- W2980686347 hasPublicationYear "2019" @default.
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