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Distance-dependent classification of amino acids by information theory

Pape, Susanne ; Hoffgaard, Franziska ; Hamacher, Kay (2010)
Distance-dependent classification of amino acids by information theory.
In: Proteins: Structure, Function, and Bioinformatics, 78 (10)
doi: 10.1002/prot.22744
Artikel, Bibliographie

Kurzbeschreibung (Abstract)

Reduced amino acid alphabets are useful to understand molecular evolution as they reveal basal, shared properties of amino acids, which the structures and functions of proteins rely on. Several previous studies derived such reduced alphabets and linked them to the origin of life and biotechnological applications. However, all this previous work presupposes that only direct contacts of amino acids in native protein structures are relevant. We show in this work, using information-theoretical measures, that an appropriate alphabet reduction scheme is in fact a function of the maximum distance amino acids interact at. Although for small distances our results agree with previous ones, we show how long-range interactions change the overall picture and prompt for a revised understanding of the protein design process.

Typ des Eintrags: Artikel
Erschienen: 2010
Autor(en): Pape, Susanne ; Hoffgaard, Franziska ; Hamacher, Kay
Art des Eintrags: Bibliographie
Titel: Distance-dependent classification of amino acids by information theory
Sprache: Englisch
Publikationsjahr: 2010
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Proteins: Structure, Function, and Bioinformatics
Jahrgang/Volume einer Zeitschrift: 78
(Heft-)Nummer: 10
DOI: 10.1002/prot.22744
Kurzbeschreibung (Abstract):

Reduced amino acid alphabets are useful to understand molecular evolution as they reveal basal, shared properties of amino acids, which the structures and functions of proteins rely on. Several previous studies derived such reduced alphabets and linked them to the origin of life and biotechnological applications. However, all this previous work presupposes that only direct contacts of amino acids in native protein structures are relevant. We show in this work, using information-theoretical measures, that an appropriate alphabet reduction scheme is in fact a function of the maximum distance amino acids interact at. Although for small distances our results agree with previous ones, we show how long-range interactions change the overall picture and prompt for a revised understanding of the protein design process.

Freie Schlagworte: Bioinformatik
Fachbereich(e)/-gebiet(e): 10 Fachbereich Biologie
?? fb10_mikrobiologie ??
10 Fachbereich Biologie > Computational Biology and Simulation
20 Fachbereich Informatik
Hinterlegungsdatum: 21 Jun 2010 17:07
Letzte Änderung: 30 Apr 2018 11:02
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