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REMUS: a tool for identification of unique peptide segments as epitopes

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Title: REMUS: a tool for identification of unique peptide segments as epitopes


1
REMUS a tool for identification of unique
peptide segments as epitopes
  • Dr. Tun-Wen Pai
  • Dept. of Computer Science and Engineering,
    National Taiwan Ocean University
  • 2006/10/30

2
  • REMUS A web server for identification of the
    locations and compositions of unique peptide
    segments from a set of protein family sequences (
    http//140.121.196.30/remus)
  • DNA / PROTEIN levels
  • Web interface / PC version for Windows
  • Refs
  • 1. H. Chang, T. Pai, D. Chang, et al., A
    Reinforced Merging Methodology for Mapping
    Unique Peptide Motifs in Members of Protein
    Families, BMC Bioinformatics 738 (SCI), 2006.
  • 2. T. Pai, M. Chang, W. Tzou, et al., REMUS a
    tool for identification of nique peptide
    segments as epitopes, Nucl. Acids Res. Web
    Server Issue(in press) (SCI) , 2006.

3
System Architechure
4
  • System features
  • Bottom-up approximate searching technology
  • Statistical properties analysis for each primary
  • segment (Uniqueness Representation)
  • Automatic / Semi-Automatic version
  • (Automatic Primary Pattern Analysis)
  • Substitutable Residues (BLOSUM/PAM)
  • Various Merging Methods
  • Chemical Properties (Ranking Order)
  • Structural Representation
  • (loop structure analysis)

5
Example (Web Version)
6
Example (Results of REMUS)
7
Example (3D representation)
8
Example (UPM representation)
9
Example (Various Styles)
10
  • LEPD (Linear Epitope Prediction Database)
  • Designed for identification of unique peptide
    motifs (UPMs)
  • as specific linear epitopes from all family
    protein sequences
  • UPMs in each protein family searched by updated
    the Pfam
  • database (http//www.sanger.ac.uk/Software/Pfa
    m/)
  • Identification of the potential linear epitopes
    with different
  • levels of antigenicities
  • Three-dimensional structure display and
    Conformational
  • Epitope Prediction

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