Sequence-Structure Alignment Using a Statistical Analysis of Core Models and Dynamic Programming

Autor:	Brunnert, Marcus, Fischer, Paul, Urfer, Wolfgang
Jazyk:	angličtina
Rok vydání:	2002
Předmět:	dynamic programming secondary structure prediction sequence-structure alignment core model
DOI:	10.17877/de290r-15209
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f01506aae0739260100e6eafd4e02e37 Zobrazit plný text záznamu