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Wilhelm Schickard Institute for Computer Science
Div. for Simulation of Biological Systems
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Alumni

Finished PhD theses/Doktorarbeiten

Name Project title
Pierre Dönnes Computational Immunomics: From MHC-Peptide Binding to Immunotherapy
Annette Höglund Computational Approaches for Analyzing the Role of Protein-DNA Interactions in Gene Regulation
Andreas Kerzmann

Finished Master's theses/Diplomarbeiten

Name Project title Tutor(s)
Cornelia Friedle Visualisierung und Reduktion von HPLC-MS Daten in OpenMS Marc
Torsten Blum MultiLoc - an advanced system for predicting subcellular location Annette
Manfred Claassen Molecular modelling of peptide ligands in HLA-A*0201 complexes Pierre
Mathias Schuler SNEP: SNP-derived Epitope Prediction Pierre
Volker Mosthaf Clustering of Tandem MS Spectra Marc/Oliver
Demet Sirim Methoden des Molecular Modeling - Mit "Scaffold hopping" zu neuen NF-kB-Inhibitoren Oliver
Agata Krasowski Methoden des Molecular Modeling - Mit "Scaffold hopping" zu neuen Leitstrukturen für VEGFR-2 Inhibitoren Oliver
Alexander Thielen Prediction of B and T cell epitopes Pierre
Nina Fischer Structure-based prediction of transcription factor-DNA binding free energies using MM/GBSA Annette
Lisa Peltason Dynamic description of physiological processes with Timed Petri Nets Oliver
Jens Joachim Automated LC-MS data analysis for differential quantification of MHC ligands using stable isotope labeling Marc
Carola Huthmacher Oliver
Nina Hämmerle Homolgy Modeling of Tyrosine Kinases: Implications for Selectivity of VEGF-R2 Inhibitors Annette
Manuel Dietrich Genome-scale comparison of metabolic networks applied to Escherichia coli and Bacillus subtilis Oliver
Anne Arens Oliver
Jan Brücker Statistical Potentials for Protein-DNA Interactions Annette
Manfred Claassen Structure-based prediction of class I MHC epitopes Perre
Lena Feldhahn FRED: A Framework for T-Cell Epitope Detection Pierre
Marc Röttig Klassifikation von Enzymen mittels Support Vector Machines und Partial Least Squares Oliver
Ruijun Shen Heart Rate Correction Models to Detect QT Interval Prolongation In Novel Pharmaceutical Development Oliver
Sonja Boldt Neue Verfahren zum Lokalisationsvorhersage von Proteinen: Implementation und experimentelle Analyse Torsten

Finished Bachelor's theses/Studienarbeiten

Name Project title Tutor(s)
Claas aufm Kampe Predicting subcellular localization of proteins based on their N-terminal amino acid sequence using support vector machines Pierre
Lena Feldhahn Threading of MHC class I binding peptides Pierre
Nina Fischer In Silico Mutation of Protein-DNA Complexes Annette
Demetgül Sirim Integration of biological data Pierre
Jan Brucker A program for TM helix prediction Pierre
Lisa Peltason Clustering auf grossen Strukturdatenbanken Oliver
Andreas Bertsch Implementing a basic set of QSAR descriptors in BALL Oliver
Jochen Supper Prediction of MHC-binding peptide using DTs and SVMs Pierre
Serhat Saydam Vergleich von Methoden zur Berechnung der molekularen Elektrostatik Andreas
Roland Pache PeptID: an algorithm for the identification of peptides from MS/MS spectra in consideration of protein splicing Pierre/Marc
Carsten Henneges Dataimport from BioCyc Torsten
Christoph Wilke Predicting chloroplast protein intraorganellar localization using SVMs by encoding physiochemical distributions contained in sequence Annette
Sebastian Schultheiss Transcriptional Regulation of Stem Cells in Arabidopsis thaliana Annette
Christina Guschelbauer Predicting Transmembrane Domains using Support Vector Machines Annette
Christine Herold Computational analysis of the regulation of cancer-related genes Annette
Christoph Malisi Chloroplast Suborganellar Localization Prediction Pierre
Adrian Schröder Incorporating SLICK into a GA docking program Andreas
Angela Henzler A closer look on a predition method for allergens and its application on finding the subcellular localization of proteins Pierre
Michael Betz Computational chemistry Annette/Oliver
Holger Franken Oliver
Jüfan Geiger Using AutoDock for docking lectin-carbohydrate complexes Andreas
Florian Kirchner Finding binding pockets for sugars Andreas
Michael Knopp Rigid Protein-Protein docking Andreas
Hedwig Zimmerer Ring stacking models in lectin sugar docking. Andreas
Thomas Thies Oliver
Matthias Ziehm Leveraging structural and sequence information for MHC class I binding prediction Lena, Nora
Stefan Hees Visualization of HPLC-MS meta data Marc