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FRalanyzer: a tool for functional analysis of fold-recognition sequence-structure alignments.


ABSTRACT: We describe FRalanyzer (Fold Recognition alignment analyzer), a new web tool to visually inspect sequence-structure alignments in order to predict functionally important residues in a query sequence of unknown function. This tool is aimed at helping to infer functional relationships between a query sequence and a template structure, and is particularly useful in analyzing fold recognition (FR) results. Because similar folds do not necessarily share the same function, it is not always straightforward to infer a function from an FR result alone. Manual inspection of the FR sequence-structure alignment is often required in order to search for conservation of functionally important residues. FRalanyzer automates parts of this time-consuming process. FRalanyzer takes as input a sequence-structure alignment, automatically searches annotated databases, displays functionally significant residues and highlights the functionally important positions that are identical in the alignment. FRalanyzer can also be used with sequence-structure alignments obtained by other methods, and with structure-structure alignments obtained from structural comparison of newly determined 3D-structures of unknown function. Fralanyzer is available at http://fralanyzer.cse.buffalo.edu/.

SUBMITTER: Saini HK 

PROVIDER: S-EPMC1933221 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature

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FRalanyzer: a tool for functional analysis of fold-recognition sequence-structure alignments.

Saini Harpreet Kaur HK   Fischer Daniel D  

Nucleic acids research 20070530 Web Server issue


We describe FRalanyzer (Fold Recognition alignment analyzer), a new web tool to visually inspect sequence-structure alignments in order to predict functionally important residues in a query sequence of unknown function. This tool is aimed at helping to infer functional relationships between a query sequence and a template structure, and is particularly useful in analyzing fold recognition (FR) results. Because similar folds do not necessarily share the same function, it is not always straightfor  ...[more]

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