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Vladimir Brusic: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vladimir B. Bajic, Vladimir Brusic, Jinyan Li, See-Kiong Ng, Limsoon Wong
    From Informatics to Bioinformatics. [Citation Graph (0, 0)][DBLP]
    APBC, 2003, pp:3-12 [Conf]
  2. Menaka Rajapakse, Bertil Schmidt, Vladimir Brusic
    Multi-Objective Evolutionary Algorithm for Discovering Peptide Binding Motifs. [Citation Graph (0, 0)][DBLP]
    EvoWorkshops, 2006, pp:149-158 [Conf]
  3. Ivana Bozic, Guanglan Zhang, Vladimir Brusic
    Predictive Vaccinology: Optimisation of Predictions Using Support Vector Machine Classifiers. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:375-381 [Conf]
  4. Olivo Miotto, Tin Wee Tan, Vladimir Brusic
    Extraction by Example: Induction of Structural Rules for the Analysis of Molecular Sequence Data from Heterogeneous Sources. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:398-405 [Conf]
  5. Menaka Rajapakse, Lonce L. Wyse, Bertil Schmidt, Vladimir Brusic
    Deriving Matrix of Peptide-MHC Interactions in Diabetic Mouse by Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2005, pp:440-447 [Conf]
  6. Vladimir Brusic, Christian Schönbach, Masafumi Takiguchi, Victor Ciesielski, Leonard C. Harrison
    Application of Genetic Search in Derivation of Matrix Models of Peptide Binding to MHC Molecules. [Citation Graph (0, 0)][DBLP]
    ISMB, 1997, pp:75-83 [Conf]
  7. Kellathur N. Srinivasan, Guanglan Zhang, Asif M. Khan, J. Thomas August, Vladimir Brusic
    Prediction of class I T-cell epitopes: evidence of presence of immunological hot spots inside antigens. [Citation Graph (0, 0)][DBLP]
    ISMB/ECCB (Supplement of Bioinformatics), 2004, pp:297-302 [Conf]
  8. Stephanus Daniel Handoko, Kwoh Chee Keong, Ong Yew Soon, Guanglan Zhang, Vladimir Brusic
    Extreme Learning Machine for Predicting HLA-Peptide Binding. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2006, pp:716-721 [Conf]
  9. Kai-Tak Lam, Judice L. Y. Koh, Bharadwaj Veeravalli, Vladimir Brusic
    Incremental Maintenance of Biological Databases Using Association Rule Mining. [Citation Graph (0, 0)][DBLP]
    PRIB, 2006, pp:140-150 [Conf]
  10. Christian Schönbach, P. Kowalski-Saunders, Vladimir Brusic
    Data Warehousing in Molecular Biology. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2000, v:1, n:1, pp:190-198 [Journal]
  11. Paul T. J. Tan, Asif M. Khan, Vladimir Brusic
    Bioinformatics for Venom and Toxin Sciences. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2003, v:4, n:1, pp:53-62 [Journal]
  12. Vladimir Brusic
    The growth of bioinformatics. [Citation Graph (0, 0)][DBLP]
    Briefings in Bioinformatics, 2007, v:8, n:2, pp:69-70 [Journal]
  13. Vladimir B. Bajic, Seng Hong Seah, Allen Chong, Guanglan Zhang, Judice L. Y. Koh, Vladimir Brusic
    Dragon Promoter Finder: recognition of vertebrate RNA polymerase II promoters. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2002, v:18, n:1, pp:198-199 [Journal]
  14. Vladimir Brusic, George B. Rudy, G. Honeyman, Jürgen Hammer, Leonard C. Harrison
    Prediction of MHC class II-binding peptides using an evolutionary algorithm and artificial neural network. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 1998, v:14, n:2, pp:121-130 [Journal]
  15. Joyce Phui Yee Siew, Asif M. Khan, Paul T. J. Tan, Judice L. Y. Koh, Seng Hong Seah, Chuay Yeng Koo, Siaw Ching Chai, Arunmozhiarasi Armugam, Vladimir Brusic, Kandiah Jeyaseelan
    Systematic analysis of snake neurotoxins' functional classification using a data warehousing approach. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2004, v:20, n:18, pp:3466-3480 [Journal]
  16. Joo Chuan Tong, Guanglan Zhang, Tin Wee Tan, J. Thomas August, Vladimir Brusic, Shoba Ranganathan
    Prediction of HLA-DQ3.2ß Ligands: evidence of multiple registers in class II binding peptides. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2006, v:22, n:10, pp:1232-1238 [Journal]
  17. Vladimir B. Bajic, Allen Chong, Seng Hong Seah, Vladimir Brusic
    An Intelligent System for Vertebrate Promoter Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Intelligent Systems, 2002, v:17, n:4, pp:64-70 [Journal]
  18. Vladimir B. Bajic, Suisheng Tang, Hao Han, Vladimir Brusic, Artemis G. Hatzigeorgiou
    Artificial Neural Networks Based Systems for Recognition of Genomic Signals and Regions: A Review. [Citation Graph (0, 0)][DBLP]
    Informatica (Slovenia), 2002, v:26, n:4, pp:- [Journal]
  19. Vladimir Brusic, Peter van Endert, John Zeleznikow, Soizic Daniel, Jürgen Hammer, Nikolai Petrovsky
    A neural network model approach to the study of human TAP transporter. [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 1998, v:1, n:, pp:10- [Journal]
  20. Nikolai Petrovsky, Christian Schönbach, Vladimir Brusic
    Bioinformatic strategies for better understanding of immune function. [Citation Graph (0, 0)][DBLP]
    In Silico Biology, 2003, v:3, n:, pp:34- [Journal]
  21. Vladimir Brusic
    From Immunoinformatics to Immunomics. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2003, v:1, n:1, pp:179-182 [Journal]
  22. Guanglan Zhang, Asif M. Khan, Kellathur N. Srinivasan, J. Thomas August, Vladimir Brusic
    Neural Models for Predicting Viral Vaccine Targets. [Citation Graph (0, 0)][DBLP]
    J. Bioinformatics and Computational Biology, 2005, v:3, n:5, pp:1207-1226 [Journal]
  23. M. Brahmachary, S. P. T. Krishnan, Judice L. Y. Koh, Asif M. Khan, Seng Hong Seah, Tin Wee Tan, Vladimir Brusic, Vladimir B. Bajic
    ANTIMIC: a database of antimicrobial sequences. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Database-Issue, pp:586-589 [Journal]
  24. Vladimir Brusic, George B. Rudy, Leonard C. Harrison
    MHCPEP, a database of MHC-binding peptides: update 1997. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1998, v:26, n:1, pp:368-371 [Journal]
  25. Vladimir Brusic, George B. Rudy, Anthony P. Kyne, Leonard C. Harrison
    MHCPEP--a database of MHC-binding peptides: update 1995. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1996, v:24, n:1, pp:242-244 [Journal]
  26. Vladimir Brusic, George B. Rudy, Anthony P. Kyne, Leonard C. Harrison
    MHCPEP, a database of MHC-binding peptides: update 1996. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1997, v:25, n:1, pp:269-271 [Journal]
  27. Johann Lenffer, Paulo Lai, Wafaa El Mejaber, Asif M. Khan, Judice L. Y. Koh, Paul T. J. Tan, Seng Hong Seah, Vladimir Brusic
    CysView: protein classification based on cysteine pairing patterns. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2004, v:32, n:Web-Server-Issue, pp:350-355 [Journal]
  28. Christian Schönbach, Judice L. Y. Koh, Xin Sheng, Limsoon Wong, Vladimir Brusic
    FIMM, a database of functional molecular immunology. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2000, v:28, n:1, pp:222-224 [Journal]
  29. Christian Schönbach, Judice L. Y. Koh, Darren R. Flower, Limsoon Wong, Vladimir Brusic
    FIMM, a database of functional molecular immunology: update 2002. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2002, v:30, n:1, pp:226-229 [Journal]
  30. Guanglan Zhang, Kellathur N. Srinivasan, Anitha Veeramani, J. Thomas August, Vladimir Brusic
    PREDBALB/c: a system for the prediction of peptide binding to H2d molecules, a haplotype of the BALB/c mouse. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:180-183 [Journal]
  31. Guanglan Zhang, Asif M. Khan, Kellathur N. Srinivasan, J. Thomas August, Vladimir Brusic
    MULTIPRED: a computational system for prediction of promiscuous HLA binding peptides. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 2005, v:33, n:Web-Server-Issue, pp:172-179 [Journal]
  32. Liwen You, Ping Zhang, Mikael Bodén, Vladimir Brusic
    Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification. [Citation Graph (0, 0)][DBLP]
    PRIB, 2007, pp:337-348 [Conf]

  33. A Hybrid Model for Prediction of Peptide Binding to MHC Molecules. [Citation Graph (, )][DBLP]


  34. Functional Prediction of Snake Neurotoxins. [Citation Graph (, )][DBLP]


  35. The ImmunoGrid Simulator: How to Use It. [Citation Graph (, )][DBLP]


  36. Critical technologies for bioinformatics. [Citation Graph (, )][DBLP]


  37. ImmunoGrid, an integrative environment for large-scale simulation of the immune system for vaccine discovery, design and optimization. [Citation Graph (, )][DBLP]


  38. Predicting peptides binding to MHC class II molecules using multi-objective evolutionary algorithms. [Citation Graph (, )][DBLP]


  39. Large-scale analysis of antigenic diversity of T-cell epitopes in dengue virus. [Citation Graph (, )][DBLP]


  40. Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research. [Citation Graph (, )][DBLP]


  41. Rule-based knowledge aggregation for large-scale protein sequence analysis of influenza A viruses. [Citation Graph (, )][DBLP]


  42. Hotspot Hunter: a computational system for large-scale screening and selection of candidate immunological hotspots in pathogen proteomes. [Citation Graph (, )][DBLP]


  43. Identification of human-to-human transmissibility factors in PB2 proteins of influenza A by large-scale mutual information analysis. [Citation Graph (, )][DBLP]


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