3D-Fun: predicting enzyme function from structure
نویسندگان
چکیده
منابع مشابه
3D-Fun: predicting enzyme function from structure
The 'omics' revolution is causing a flurry of data that all needs to be annotated for it to become useful. Sequences of proteins of unknown function can be annotated with a putative function by comparing them with proteins of known function. This form of annotation is typically performed with BLAST or similar software. Structural genomics is nowadays also bringing us three dimensional structure...
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ProFunc (http://www.ebi.ac.uk/thornton-srv/databases/ProFunc) is a web server for predicting the likely function of proteins whose 3D structure is known but whose function is not. Users submit the coordinates of their structure to the server in PDB format. ProFunc makes use of both existing and novel methods to analyse the protein's sequence and structure identifying functional motifs or close ...
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MOTIVATION We introduce a new approach to using the information contained in sequence-to-function prediction data in order to recognize protein template classes, a critical step in predicting protein structure. The data on which our method is based comprise probabilities of functional categories; for given query sequences these probabilities are obtained by a neural net that has previously been...
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Gapped and ungapped sequence alignment were tested as possible methods to classify proteins into the functional classes defined by the International Enzyme Commission (EC). We exhaustively tested all 15,208 proteins labeled with any EC class in a recent release of the SwissProt database, evaluating all 1,327 relevant EC classes. We effectively tested all possible similarity thresholds that coul...
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ژورنال
عنوان ژورنال: Nucleic Acids Research
سال: 2008
ISSN: 0305-1048,1362-4962
DOI: 10.1093/nar/gkn308