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Discovery Bioinformatics Group Publications                         Other publications by V. Brusic
  1. Lin H.H., Ray S., Tongchusak S., Reinherz E.L., Brusic V. Evaluation of MHC class I peptide binding prediction servers: applications for vaccine research. BMC Immunology (in press).
  2. Pennisi, M., Pappalardo, F., Zhang, P. and Motta, S. (2008), An Application of Genetic Algorithms in Cancer Immunoinformatics, IEEE Engineering in Medicine and Biology Magazine (in press).
  3. Miotto O., Heiny A.T., Tan T.W., August J.T., Brusic V. (2008). Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis. BMC Bioinformatics 9 (Suppl. 1), S18.
  4. Miotto O., Tan T.W., Brusic V. (2008). Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses. BMC Bioinformatics 9 (Suppl. 1), S7.
  5. Tan P.T.J., Ranganathan S. and Brusic V. (2007). Extraction of functional peptide motifs in scorpion toxins. Journal of Peptide Science (in press).
  6. Zhang G, Bozic I, Kwoh C.K., August J.T. and Brusic V. (2007). Prediction of supertype-specific HLA class I binding peptides using support vector machines. Journal of Immunological Methods (in press).
  7. Brusic V., Marina O., Wu C.J., Reinherz E.L. (2007). Proteome informatics for cancer research: From molecules to clinic. Proteomics (in press).
  8. Lam K.T, Koh J.L.Y., Veeravalli B. and Brusic V. Incremental maintenance of biological databases using association rule mining. Lecture Notes in Bioinformatics (in press).
  9. Tong J.C., Zhang G.L., Tan T.W., August J.T., Brusic V. and Ranganathan S. (2006). Prediction of HLA-DQ3.2 ligands: evidence of multiple registers in class II binding peptides. Bioinformatics 22(10),1232-1238.
  10. Brusic V. Computational models in molecular medicine and bioinformatics - the use and prospects. Magyar Tudomany (Hungarian Science) - an official journal of the Hungarian Academy of Sciences (invited paper) (in press).
  11. Gupta V., Tabiin T.M., Sun K., Chandrasekaran A., Anwar A., Yang K., Chikhlikar P., Salmon J., Brusic V., Marques E.T., Kellathur S.N. and August T.J. (2006). SARS coronavirus nucleocapsid immunodominant T-cell epitope cluster is common to both exogenous recombinant and endogenous DNA-encoded immunogens. Virology 347, 127-139.
  12. Handoko S.D., Kwoh C.K., Ong Y.S., Zhang G.L. and Brusic V. Extreme Learning Machine for Predicting HLA-Peptide Binding. Lecture Notes in Computer Science (in press).
  13. Rajapakse M., Schmidt B. and Brusic V. (2006). Multi-objective evolutionary algorithm for discovering peptide binding motifs. Lecture Notes in Computer Science 3907, 149-158.
  14. Brusic V. (2006). Information management for the study of allergies. Inflammation & Allergy - Drug Targets 5(1), 35-42.
  15. Tan P.T.J., Veeramani A., Srinivasan K.N., Ranganathan S. and Brusic V. (2006). Scorpion 2: a database for structure-function analysis of scorpion toxins. Toxicon 47, 356-363.
  16. Tan P.T.J., Ranganathan S. and Brusic V. (2006). Deduction of functional peptide motifs in scorpion toxins. Journal of Peptide Science (in press).
  17. Miotto O., Tan T.W. and Brusic V. (2005). Supporting the curation of biological databases with reusable text mining. The 16th International Conference on Genome Informatics, Yokohama, Japan, December 19-21, 2005. Genome Informatics 16(2), 32-44.
  18. Basford K., DeLacy I. and Brusic V. (2005). Plant breeding informatics. Proceedings of the 10th International Congress of SABRAO "How to Utilize Crop Diversity for Productivity and Sustainability, Breeding Science and Technology for the New Era", Tsukuba, Japan, Aug. 22-23, 2005. (Invited paper)
  19. Tongchusak S., Chaiyaroj S.C., Veeramani A., Koh J.L.Y. and Brusic V. (2005). CandiVF - Candida albicans virulence factor database. International Journal of Peptide Research and Therapeutics 11(4), 271-277.
  20. Zhang GL., Khan A.M., Srinivasan K.N., August T.J. and Brusic V. (2005). Neural models for predicting viral vaccine targets. Journal of Bioinformatics and Computational Biology 3, 1207-1225.
  21. Brusic V., August T.J. and Petrovsky N. (2005). Information technologies for vaccine research. Expert Review of Vaccines 4, 407-417.
  22. Rajapakse M., Wyse L., Schmidt B. and Brusic V. (2005). Deriving matrix of peptide-MHC interactions in diabetic mouse by genetic algorithm. In Gallagher M, Hogan J, Maire F (eds.), Proceedings of the 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005., Brisbane, Australia, July 6-8, 2005. Lecture Notes in Computer Science 3578, 440-447.
  23. Bozic I., Zhang G.L. and Brusic V. (2005). Predictive vaccinology: optimisation of predictions using support vector machine classifiers. In Gallagher M, Hogan J, Maire F (eds.), Proceedings of the 6th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2005., Brisbane, Australia, July 6-8, 2005. Lecture Notes in Computer Science 3578, 375-381.
  24. Brusic V., Petrovsky N. (2005). Immunoinformatics and its relevance to understanding human immune disease. Expert Review of Clinical Immunology. 1(1), 145-157.
  25. Zhang G.L., Khan A.M., Srinivasan K.N., August J.T. and Brusic V. (2005). MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides. Nucleic Acids Research 33, W172-179.
  26. Zhang G., Srinivasan K.N., Veeramani A., August T.J. and Brusic V. (2005) PREDBALB/c: a system for prediction of peptide binding to the H2d molecules, a haplotype of the BALB/c mouse. Nucleic Acids Research 33, W180-183.
  27. Tan P.T.J., Srinivasan K.N., Seah S.H., Koh J.L.Y., Tan T.W., Ranganathan S. and Brusic V. (2005). Accurate prediction of scorpion toxin functional properties from primary sequences. Journal of Molecular Graphics and Modelling 24, 17-24.

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Last updated: 26-Mar-2008