PFD
From protein 3D structure to Gene Ontology (GO) terms
Results for job: Example
Email l.a.kelley@imperial.ac.uk
Description testagain
Date Mon Nov 9 11:52:50 GMT 2009

PFD predicts the function of your protein using 3 sources of information:

  • Overall topological similarity to structures with known function
  • Geometric and residue similarity of predicted functional sites to regions of known structures
  • Sequence homology to functionally annotated sequences
  • All this information is then processed by a Support Vector Machine trained to discriminate
    between true and false positive functional assignments

    Amino Acid Sequence
    Index.........10.........20.........30.........40.........50.........60.........70.........80..
    Query SequenceVFGRCELAAAMKRHGLDNYRGYSLGNWVCAAKFESNFNTQATNRNTDGSTDYGILQINSRWWCNDGRTPGSRNLCNIPCSAL
    Predicted Site 1                                                                                  
    Predicted Site 2                                                                                  
    Index.......90.........100.........110.........120.........
    Query SequenceLSSDITASVNCAKKIVSDGNGMNAWVAWRNRCKGTDVQAWIRGCRL
    Predicted Site 1                                              
    Predicted Site 2                                              


    Summary Function Prediction
    Predicted functions for your protein
    GO TermDescriptionConfidence
    GO:0042742defense response to bacterium0.97
    GO:0016998cell wall macromolecule catabolic process0.96
    GO:0019835cytolysis0.96
    GO:0003796lysozyme activity0.96
    GO:0016798hydrolase activity, acting on glycosyl bonds0.95
    GO:0016787hydrolase activity0.93
    Show/Hide more predictions
    Structural view


    Viewing Options
    Standard Views

    Conservation Analysis
    G54, Q57, L56, I55, I58, N59

    Pockets

    Q57, I58, N59, D52, E35, W63
    N103, I98, W63, D101, A107
    Detailed Breakdown of Hits from Each Information Source
    Show/Hide Details
    © Structural Bioinformatics Group, Imperial College, London 
    Lawrence Kelley