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
Issue Date: 2002
Provenance: Universitätsbibliothek Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

Files in This Item:
File Description SizeFormat 
61_02.pdfDNB256.77 kBAdobe PDFView/Open
tr61-02.ps3.71 MBPostscriptView/Open

This item is protected by original copyright

Items in Eldorado are protected by copyright, with all rights reserved, unless otherwise indicated.