Mikael Bodén
Orcid: 0000-0003-3548-268X
According to our database1,
Mikael Bodén
authored at least 61 papers
between 1993 and 2022.
Collaborative distances:
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Bibliography
2022
Engineering indel and substitution variants of diverse and ancient enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP).
PLoS Comput. Biol., October, 2022
2020
2019
BMC Bioinform., 2019
2018
NLSdb - major update for database of nuclear localization signals and nuclear export signals.
Nucleic Acids Res., 2018
J. Chem. Inf. Model., 2018
Bioinform., 2018
2017
Learning epistatic interactions from sequence-activity data to predict enantioselectivity.
J. Comput. Aided Mol. Des., 2017
PhosphoPICK-SNP: quantifying the effect of amino acid variants on protein phosphorylation.
Bioinform., 2017
2015
PhosphoPICK: modelling cellular context to map kinase-substrate phosphorylation events.
Bioinform., 2015
Briefings Bioinform., 2015
2014
Pattern Anal. Appl., 2014
2013
PREDIVAC: CD4+ T-cell epitope prediction for vaccine design that covers 95% of HLA class II DR protein diversity.
BMC Bioinform., 2013
DLocalMotif: a discriminative approach for discovering local motifs in protein sequences.
Bioinform., 2013
2012
J. Chem. Inf. Model., 2012
Genom. Proteom. Bioinform., 2012
Mapping the stabilome: a novel computational method for classifying metabolic protein stability.
BMC Syst. Biol., 2012
2011
2010
Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010
A Bayesian Network Model of Proteins' Association with Promyelocytic Leukemia (PML) Nuclear Bodies.
J. Comput. Biol., 2010
Predicting SUMOylation sites in developmental transcription factors of Drosophila melanogaster.
Neurocomputing, 2010
The proteins of intra-nuclear bodies: a data-driven analysis of sequence, interaction and expression.
BMC Syst. Biol., 2010
BMC Bioinform., 2010
Bioinform., 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Pattern Recognit., 2009
Detecting sequence and structure homology via an integrative kernel: A case-study in recognizing enzymes.
Proceedings of the 2009 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2009
2008
Determining Nucleolar Association from Sequence by Leveraging Protein-Protein Interactions.
J. Comput. Biol., 2008
Proceedings of the Pattern Recognition in Bioinformatics, 2008
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008
2007
Proceedings of the Perspectives of Neural-Symbolic Integration, 2007
Computing the Reversal Distance between genomes in the Presence of Multi-gene Families via Binary Integer Programming.
J. Bioinform. Comput. Biol., 2007
Appl. Soft Comput., 2007
Understanding Prediction Systems for HLA-Binding Peptides and T-Cell Epitope Identification.
Proceedings of the Pattern Recognition in Bioinformatics, 2007
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
2006
Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures.
BMC Bioinform., 2006
Identifying sequence regions undergoing conformational change via predicted continuum secondary structure.
Bioinform., 2006
Evolving discriminative motifs for recognizing proteins imported to the peroxisome via the PTS2 pathway.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006
2005
Improved access to sequential motifs: a note on the architectural bias of recurrent networks.
IEEE Trans. Neural Networks, 2005
IEEE ACM Trans. Comput. Biol. Bioinform., 2005
Bioinform., 2005
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005
Heuristic Algorithm for Computing Reversal Distance with MultiGene Families via Binary Integer Programming.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Predicting Peroxisomal Proteins.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
Predicting Structural Disruption of Proteins Caused by Crossover (based on Amino Acid Sequence).
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005
BLOMAP: An encoding of amino acids which improves signal peptide cleavage site prediction.
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005
Proceedings of 3rd Asia-Pacific Bioinformatics Conference, 17-21 January 2005, Singapore, 2005
2004
Neurocomputing, 2004
2003
Using evolutionary noise to improve prediction of rapidly evolving targeting peptides.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003
2002
IEEE Trans. Neural Networks, 2002
Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002
2000
Connect. Sci., 2000
Evolving context-free language predictors.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '00), 2000
1997
PhD thesis, 1997
1996
Proceedings of the Artificial Neural Networks, 1996
1993