Pierre Dönnes

According to our database, Pierre Dönnes authored at least 11 papers between 2002 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Population-specific design of de-immunized protein biotherapeutics.

Benjamin Schubert, Charlotta Schärfe, Pierre Dönnes, Thomas A. Hopf, Debora S. Marks, Oliver Kohlbacher

PLoS Comput. Biol., 2018

2012

miHA-match: computational detection of tissue-specific minor histocompatibility antigens.

Magdalena Feldhahn, Karin Schilbach, Pierre Dönnes, Hans-Georg Rammensee, Benjamin Schubert, Oliver Kohlbacher

Proceedings of the ACM International Conference on Bioinformatics, 2012

2009

FRED - a framework for T-cell epitope detection.

Magdalena Feldhahn, Pierre Dönnes, Philipp Thiel, Oliver Kohlbacher

Bioinform., 2009

2008

A Mathematical Framework for the Selection of an Optimal Set of Peptides for Epitope-Based Vaccines.

Nora C. Toussaint, Pierre Dönnes, Oliver Kohlbacher

PLoS Comput. Biol., 2008

2007

SherLoc: high-accuracy prediction of protein subcellular localization by integrating text and protein sequence data.

Hagit Shatkay, Annette Höglund, Scott Brady, Torsten Blum, Pierre Dönnes, Oliver Kohlbacher

Bioinform., 2007

2006

SVMHC: a server for prediction of MHC-binding peptides.

Pierre Dönnes, Oliver Kohlbacher

Nucleic Acids Res., 2006

MultiLoc: prediction of protein subcellular localization using N-terminal targeting sequences, sequence motifs and amino acid composition.

Annette Höglund, Pierre Dönnes, Torsten Blum, Hans-Werner Adolph, Oliver Kohlbacher

Bioinform., 2006

Significantly Improved Prediction of Subcellular Localization by Integrating Text and Protein Sequence Data .

Annette Höglund, Torsten Blum, Scott Brady, Pierre Dönnes, John San Miguel, Matthew Rocheford, Oliver Kohlbacher, Hagit Shatkay

Proceedings of the Biocomputing 2006, 2006

2005

Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules.

Jochen Supper, Pierre Dönnes, Oliver Kohlbacher

Proceedings of the Pattern Recognition and Data Mining, 2005

Using N-terminal targeting sequences, amino acid composition, and sequence motifs for predicting protein subcellular localizations.

Annette Höglund, Pierre Dönnes, Torsten Blum, Hans-Werner Adolph, Oliver Kohlbacher

Proceedings of the German Conference on Bioinformatics (GCB 2005), Hamburg, 2005

2002

Prediction of MHC class I binding peptides, using SVMHC.

Pierre Dönnes, Arne Elofsson

BMC Bioinform., 2002