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 |
Provenance: | Universitätsbibliothek Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
61_02.pdf | DNB | 256.77 kB | Adobe PDF | View/Open |
tr61-02.ps | 3.71 MB | Postscript | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org