Research article
Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms
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* Corresponding author: Menaka Rajapakse menaka@i2r.a-star.edu.sg
1 Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore
2 NICTA VRL, University of Melbourne, Parkville, 3010 Australia
3 School of Computer Engineering, Nanyang Technological University, Block N4, Nanyang Avenue, 639798 Singapore
4 Cancer Vaccine Center, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115 USA
BMC Bioinformatics 2007, 8:459 doi:10.1186/1471-2105-8-459
Published: 22 November 2007Additional files
Additional file 1:
MOEA derived matrices on I-Ag7 dataset. The two PSSM derived by using MOEA self-discovery and guided-discovery approaches are given in the Additional file 1.
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Additional file 2:
Motif logos obtained for I-Ag7 from MOEA derived matrices. Figure 1 and Figure 2 illustrate motif logos derived from the alignments obtained from the MOEA guided-discovery and self-discovery approaches. The web server [79] was used to generate the motif logos as described in [68].
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