Authors: Brunnert, Marcus
Fischer, Paul
Urfer, Wolfgang
Title: Sequence-Structure Alignment Using a Statistical Analysis of Core Models and Dynamic Programming
Language (ISO): en
Abstract: The expanding availability of protein data enforces the application of empirical methods necessary to recognize protein structures. In this paper a sequence-structure alignment method is described and applied to various Ubiquitin-like folded Ras-binding domains. On the basis of two probability functions that evaluate similarities between the occurrence of amino-acids in the primary and secondary protein structure, different versions of simple scoring functions are proposed. The application of the program ’PLACER’ that uses a dynamic programming approach enables the search for an optimal sequence-structure alignment and the prediction of the secondary structure.
Subject Headings: sequence-structure alignment
core model
dynamic programming
secondary structure prediction
URI: http://hdl.handle.net/2003/5073
http://dx.doi.org/10.17877/DE290R-15209
Issue Date: 2002
Publisher: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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