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Publications of Author

1. Claus Lundegaard, Morten Nielsen, Kasper Lamberth, Peder Worning, Christina Sylvester-Hvid, Søren Buus, Søren Brunak, Ole Lund
   MHC Class I Epitope Binding Prediction Trained on Small Data Sets. [Citation Graph (0, 0)][DBLP]
   ICARIS, 2004, pp:217-225 [Conf]
   
2. Jan Gorodkin, Ole Lund, Claus A. F. Andersen, Søren Brunak
   Using Sequence Motifs for Enhanced Neural Network Prediction of Protein Distance Constraints. [Citation Graph (0, 0)][DBLP]
   ISMB, 1999, pp:95-105 [Conf]
   
3. Claus Lundegaard, Thomas Nordahl Petersen, Morten Nielsen, Henrik Bohr, Jakob Bohr, Søren Brunak, Garry Gippert, Ole Lund
   Prediction of Protein Secondary Structure at High Accuracy Using a Combination of Many Neural Networks. [Citation Graph (0, 0)][DBLP]
   Mathematical Methods for Protein Structure Analysis and Design, 2003, pp:117-122 [Conf]
   
4. Alessandro Sette, Huynh-Hoa Bui, John Sidney, Philip E. Bourne, Soren Buus, Ward Fleri, R. Kubo, O. Lund, D. Nemazee, Julia V. Ponomarenko, M. Sathiamurthy, S. Stewart, S. Way, S. S. Wilson, Björn Peters
   The Immune Epitope Database and Analysis Resource. [Citation Graph (0, 0)][DBLP]
   PRIB, 2006, pp:126-132 [Conf]
   
5. Jan Gorodkin, Hans Henrik Stærfeldt, Ole Lund, Søren Brunak
   MatrixPlot: visualizing sequence constraints. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 1999, v:15, n:9, pp:769-770 [Journal]
   
6. Morten Nielsen, Claus Lundegaard, Peder Worning, Christina Sylvester-Hvid, Kasper Lamberth, Søren Buus, Søren Brunak, Ole Lund
   Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2004, v:20, n:9, pp:1388-1397 [Journal]
   
7. Lars Kiemer, Ole Lund, Søren Brunak, Nikolaj Blom
   Coronavirus 3CL^pro proteinase cleavage sites: Possible relevance to SARS virus pathology. [Citation Graph (0, 0)][DBLP]
   BMC Bioinformatics, 2004, v:5, n:, pp:72- [Journal]
   
8. Jan E. Hansen, Ole Lund, Jens O. Nielsen, John-E. S. Hansen, Søren Brunak
   O-GLYCBASE: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
   Nucleic Acids Research, 1996, v:24, n:1, pp:248-252 [Journal]
   
9. Jan E. Hansen, Ole Lund, Jette Nilsson, Kristoffer Rapacki, Søren Brunak
   O-GLYCBASE Version 3.0: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
   Nucleic Acids Research, 1998, v:26, n:1, pp:387-389 [Journal]
   
10. Jan E. Hansen, Ole Lund, Kristoffer Rapacki, Søren Brunak
    O-GLYCBASE version 2.0: a revised database of O-glycosylated proteins. [Citation Graph (0, 0)][DBLP]
    Nucleic Acids Research, 1997, v:25, n:1, pp:278-282 [Journal]
    
11. Jens Kaae Christensen, Kasper Lamberth, Morten Nielsen, Claus Lundegaard, Peder Worning, Sanne Lise Lauemøller, Søren Buus, Søren Brunak, Ole Lund
    Selecting Informative Data for Developing Peptide-MHC Binding Predictors Using a Query by Committee Approach. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2003, v:15, n:12, pp:2931-2942 [Journal]
    
12. Ole Lund, Erik Mosekilde, Jan E. Hansen
    Period doubling route to chaos in a model of HIV infection of the immune system: A comment on the Anderson-May model. [Citation Graph (0, 0)][DBLP]
    Simul. Pr. Theory, 1993, v:1, n:2, pp:49-55 [Journal]
    
13. 
    Modeling the adaptive immune system: predictions and simulations. [Citation Graph (, )][DBLP]
    
    
14. 
    Accurate approximation method for prediction of class I MHC affinities for peptides of length 8, 10 and 11 using prediction tools trained on 9mers. [Citation Graph (, )][DBLP]
    
    
15. 
    The PickPocket method for predicting binding specificities for receptors based on receptor pocket similarities: application to MHC-peptide binding. [Citation Graph (, )][DBLP]
    
    
16. 
    Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction. [Citation Graph (, )][DBLP]
    
    
17. 
    Prediction of MHC class II binding affinity using SMM-align, a novel stabilization matrix alignment method. [Citation Graph (, )][DBLP]
    
    
18. 
    NN-align. An artificial neural network-based alignment algorithm for MHC class II peptide binding prediction. [Citation Graph (, )][DBLP]