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Journal of Molecular Evolution
Article . 1994 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Reconstruction of ancestral sequences by the inferential method, a tool for protein engineering studies

Authors: Libertini G.; DI DONATO, ALBERTO;

Reconstruction of ancestral sequences by the inferential method, a tool for protein engineering studies

Abstract

This paper describes the inferential method, an approach for reconstructing protein and nucleotide sequences of ancestral species, starting from known, homologous, contemporary sequences. The method requires knowledge of the topology of the phylogenetic tree, whose nodes are the species to whom the reconstructed sequences belong. The method has been tested by computer simulation of speciation and nucleotide substitutions, starting from a single ancestral sequence, and by subsequent reconstruction of nodal sequences. Results have shown that reconstructions obtained by the inferential method are affected by limited error frequencies, which (1) are proportional to the squares of nucleotide substitution rates and of internodal distances, and (2) are little influenced by non-uniformity of transformation rates of nucleotides. Furthermore, good agreement of the results has been obtained by comparing protein-sequence reconstructions carried out with the inferential method with those obtained using the maximum parsimony method in two different cases: e.g., a reconstruction of simulated sequences and a reconstruction of mammalian ribonuclease sequences.

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Italy
Related Organizations
Keywords

inferential method, Models, Genetic, ancestral sequence; bioinformatics; inferential method, Molecular Sequence Data, bioinformatics, Amino Acid Sequence, Sequence Analysis, DNA, ancestral sequence, Protein Engineering, Biological Evolution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Top 10%
Top 10%
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