Skip to content. | Skip to navigation
Publications from the Kohlbacher lab, sorted by year and author.
[41] Gröpl, C, Lange, E, Reinert, K, Kohlbacher, O, Sturm, M, Huber, C, Mayr, B, and Klein, C (2005). Algorithms for the automated absolute quantification of diagnostic markers in complex proteomics samples In: Proceedings of the 1st Symposium on Computational Life Sciences (CLS 2005), ed. by M. Berthold, R. Glen, K. Diederichs, O. Kohlbacher, I. Fischer, pp. 151–161, Springer LNBI 3695.
[40] Höglund, A, Dönnes, P, Adolph, H, and Kohlbacher, O (2005). From prediction of subcellular localization to functional classification: Discrimination of DNA-packing and other nuclear proteins Online Journal of Bioinformatics, 6(1):51-64.
[39] Höglund, A, Dönnes, P, Blum, T, Adolph, H, and Kohlbacher, O (2005). Using N-terminal targeting sequences, amino acid composition, and sequence motifs for predicting protein subcellular localization In: Proceedings of the German Conference on Bioinformatics (GCB 2005), ed. by Andrew Torda, Stefan Kurtz, Matthias Rarey, pp. 45–59, GI.
[38] Klein, CL, Kohlbacher, O, Huber, C, and Reinert, K (2005). Reference methods and materials in standardisation and quality assurance FEBS J., 272(S1).
[37] Moll, A, Hildebrandt, A, Kerzmann, A, Lenhof, H, and Kohlbacher, O (2005). BALLView - An Open Source Tool for Molecular Modeling and Visualization In: Tagungsband zum doIT Software-Forschungstag 2005, ed. by D. Spath, K. Haasis, D. Klumpp, pp. 203–214, Stuttgart, MFG Stiftung.
[36] Mück, A, Nilse, L, Pilaftsis, A, and Rückl, R (2005). Quantization and High Energy Unitarity of 5D Orbifold Theories with Brane Kinetic Terms Phys. Rev., D71(6):066004.
[35] Nilse, L (2005). Quantization and High Energy Unitarity in Orbifold Theories Doktorarbeit, University of Manchester.
[34] Rausch, C, Weber, T, Kohlbacher, O, Wohlleben, W, and Huson, D (2005). Specificity prediction of adenylation domains in nonribosomal peptide synthetases (NRPS) using Transductive Support Vector Machines (TSVM) Nucl. Acids Res., 33(18):5799-5808.
[33] Schuler, M, Dönnes, P, Nastke, M, Kohlbacher, O, Rammensee, H, and Stevanovic, S (2005). SNEP: SNP-derived Epitope Prediction program for minor H antigens In: Joint Annual Meeting of the German and Scandinavian Societies of Immunology, 21-24 September 2005, Kiel, Germany, ed. by Dietrich Kabelitz, pp. 361-622, Immunobiology 210(6-8).
[32] Schuler, MM, Dönnes, P, Nastke, M, Kohlbacher, O, Rammensee, H, and Stevanovic, S (2005). SNEP: SNP-derived Epitope Prediction program for minor H antigens. Immunogenetics, 57(11):816-820.
[31] Supper, J, Dönnes, P, and Kohlbacher, O (2005). Analysis of MHC-Peptide Binding Using Amino Acid Property-Based Decision Rules Springer Lecture Notes in Computer Science (LNCS), 3686:446-453.
[30] Dönnes, P and Höglund, A (2004). Predicting Protein Subcellular Localization: Past, Present, and Future Genomics Proteomics Bioinformatics, 2(4):209–215.
[29] Dönnes, P, Höglund, A, Sturm, M, Comtesse, N, Backes, C, Meese, E, Kohlbacher, O, and Lenhof, H (2004). Integrative analysis of cancer-related data using CAP FASEB Journal, 18(12):1465-1467.
[28] Hildebrandt, A, Blossey, R, Rjasanow, S, Kohlbacher, O, and Lenhof, H (2004). Novel formulation of nonlocal electrostatics Phys. Rev. Lett., 93:108104.
[27] Höglund, A and Kohlbacher, O (2004). From sequence to structure and back again: approaches for predicting protein-DNA binding Proteome Science, 2:3.
[26] Istrail, S, Florea, L, Halldorsson, BV, Kohlbacher, O, Schwartz, RS, Yap, VB, Yewdell, JW, and Hoffman, SL (2004). Comparative Immuno-Peptidomics of Humans and their Pathogens Proc. Natl. Acad. Sci. USA, 101(36):13268.
[25] Kerzmann, A, Neumann, D, and Kohlbacher, O (2004). High-Accuracy Prediction of Protein-Carbohydrate Interactions Trends in Glycoscience and Glycotechnology, 16:S26.
[24] Kohlbacher, O and Reinert, K (2004). Differenzielle Proteomanalyse - Experimentelle Methoden, Algorithmische Herausforderungen IT - Information Technology, 46(1):31-38.
[23] Neumann, D, Lehr, C, Lenhof, H, and Kohlbacher, O (2004). Computational modeling of the sugarlectin interaction Advanced Drug Delivery Reviews, 56(4):437-457.
[22] Florea, L, Halldórsson, B, Kohlbacher, O, Schwartz, R, Hoffman, S, and Istrail, S (2003). Epitope Prediction Algorithms for Peptide based Vaccine Design In: Proceedings of the 2nd IEEE Computer Society Conference on Bioinformatics, pp. 17-26, IEEE Computer Society.
[21] Hildebrandt, A, Kohlbacher, O, Blossey, R, and Lenhof, H (2003). Using nonlocal electrostatics for solvation free energy computations: ions and small molecules Preprint at ArXiv.
[20] Sandelin, A, Höglund, A, Lenhard, B, and Wasserman, W (2003). Integrated analysis of yeast regulatory sequences for biologically linked clusters of genes Funct Integr Genomics, 3(3):125-134.
[19] Althaus, E, Kohlbacher, O, Lenhof, HP, and Müller, P (2002). A Combinatorial Approach to Protein Docking with Flexible Side-Chains J. Comput. Biol., 9(4):597-612.
[18] Dönnes, P and Elofsson, A (2002). Prediction of MHC class I binding peptides, using SVMHC BMC Bioinformatics, 3(25).
[17] Neumann, D, Kerzmann, A, and Kohlbacher, O (2002). Modelling the sugar-lectin interaction by computer simulated docking In: Abstracts of the 20th Interlec Meeting, ed. by Bog-Hansen, Torkhild, pp. 116, University of Copenhagen, Copenhagen, Denmark.
Print page
OpenMS 1.6 released