Michael Schroeder
Michael Schroeder
Professor in Bioinformatics, TU Dresden
Verified email at biotec.tu-dresden.de - Homepage
Cited by
Cited by
GoPubMed: exploring PubMed with the gene ontology
A Doms, M Schroeder
Nucleic acids research 33 (suppl_2), W783-W786, 2005
PLIP: fully automated protein–ligand interaction profiler
S Salentin, S Schreiber, VJ Haupt, MF Adasme, M Schroeder
Nucleic acids research 43 (W1), W443-W447, 2015
LIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservation
B Huang, M Schroeder
BMC structural biology 6 (1), 19, 2006
SuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactions
S Preissner, K Kroll, M Dunkel, C Senger, G Goldsobel, D Kuzman, ...
Nucleic acids research 38 (suppl_1), D237-D243, 2010
Identification of cavities on protein surface using multiple computational approaches for drug binding site prediction
Z Zhang, Y Li, B Lin, M Schroeder, B Huang
Bioinformatics 27 (15), 2083-2088, 2011
A roadmap of clustering algorithms: finding a match for a biomedical application
B Andreopoulos, A An, X Wang, M Schroeder
Briefings in Bioinformatics 10 (3), 297-314, 2009
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ...
BMC bioinformatics 16 (1), 138, 2015
A novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language
R Herzog, D Schwudke, K Schuhmann, JL Sampaio, SR Bornstein, ...
Genome biology 12 (1), R8, 2011
LipidXplorer: a software for consensual cross-platform lipidomics
R Herzog, K Schuhmann, D Schwudke, JL Sampaio, SR Bornstein, ...
PloS one 7 (1), e29851, 2012
SCOPPI: a structural classification of protein–protein interfaces
C Winter, A Henschel, WK Kim, M Schroeder
Nucleic acids research 34 (suppl_1), D310-D314, 2006
Negotiation in multi-agent systems
M Beer, M D'inverno, M Luck, N Jennings, C Preist, M Schroeder
The Knowledge Engineering Review 14 (3), 285-289, 1999
Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes
C Winter, G Kristiansen, S Kersting, J Roy, D Aust, T Knösel, P Rümmele, ...
PLoS Comput Biol 8 (5), e1002511, 2012
Unraveling protein networks with power graph analysis
L Royer, M Reimann, B Andreopoulos, M Schroeder
PLoS Comput Biol 4 (7), e1000108, 2008
Market-based Resource Allocation for Grid Computing: A Model and Simulation.
J Gomoluch, M Schroeder
Middleware Workshops, 211-218, 2003
Inter-species normalization of gene mentions with GNAT
J Hakenberg, C Plake, R Leaman, M Schroeder, G Gonzalez
Bioinformatics 24 (16), i126-i132, 2008
Old friends in new guise: repositioning of known drugs with structural bioinformatics
VJ Haupt, M Schroeder
Briefings in bioinformatics 12 (4), 312-326, 2011
Agents in bioinformatics, computational and systems biology
E Merelli, G Armano, N Cannata, F Corradini, M d'Inverno, A Doms, ...
Briefings in bioinformatics 8 (1), 45-59, 2007
Drug promiscuity in PDB: protein binding site similarity is key
VJ Haupt, S Daminelli, M Schroeder
PLoS one 8 (6), e65894, 2013
The many faces of protein–protein interactions: A compendium of interface geometry
WK Kim, A Henschel, C Winter, M Schroeder
PLoS Comput Biol 2 (9), e124, 2006
Facts from text: can text mining help to scale-up high-quality manual curation of gene products with ontologies?
R Winnenburg, T Wächter, C Plake, A Doms, M Schroeder
Briefings in bioinformatics 9 (6), 466-478, 2008
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