Roland Krause

Summary

Affiliation: Cellzome AG
Country: Germany

Publications

  1. ncbi A comprehensive set of protein complexes in yeast: mining large scale protein-protein interaction screens
    Roland Krause
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Bioinformatics 19:1901-8. 2003
  2. ncbi Shared components of protein complexes--versatile building blocks or biochemical artefacts?
    Roland Krause
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Bioessays 26:1333-43. 2004
  3. ncbi Proteome survey reveals modularity of the yeast cell machinery
    Anne-Claude Gavin
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Nature 440:631-6. 2006
  4. ncbi Functional organization of the yeast proteome by systematic analysis of protein complexes
    Anne Claude Gavin
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Nature 415:141-7. 2002
  5. ncbi Modular decomposition of protein-protein interaction networks
    Julien Gagneur
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Genome Biol 5:R57. 2004
  6. ncbi Comparative assessment of large-scale data sets of protein-protein interactions
    Christian von Mering
    European Molecular Biology Laboratory, Meyerhofstrasse 1, 69012 Heidelberg, Germany
    Nature 417:399-403. 2002
  7. ncbi Identification of tightly regulated groups of genes during Drosophila melanogaster embryogenesis
    Sean D Hooper
    Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
    Mol Syst Biol 3:72. 2007
  8. ncbi Identifying protein complexes directly from high-throughput TAP data with Markov random fields
    Wasinee Rungsarityotin
    Max Planck Institute for Molecular Genetics, Department of Computational Molecular Biology, Ihnestr, 73, D 14195 Berlin, Germany
    BMC Bioinformatics 8:482. 2007
  9. ncbi NRSAS: Nuclear Receptor Structure Analysis Servers
    Emmanuel Bettler
    CMBI KUN, PO Box 9010, 6500 GL Nijmegen, The Netherlands
    Nucleic Acids Res 31:3400-3. 2003
  10. ncbi Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Ivan G Costa
    Department Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    BMC Bioinformatics 8:S3. 2007

Collaborators

Detail Information

Publications12

  1. ncbi A comprehensive set of protein complexes in yeast: mining large scale protein-protein interaction screens
    Roland Krause
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Bioinformatics 19:1901-8. 2003
    ..A non-redundant collection of protein complexes from experimental data would be useful for biological interpretation, but manual assembly is tedious and often inconsistent...
  2. ncbi Shared components of protein complexes--versatile building blocks or biochemical artefacts?
    Roland Krause
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Bioessays 26:1333-43. 2004
    ....
  3. ncbi Proteome survey reveals modularity of the yeast cell machinery
    Anne-Claude Gavin
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Nature 440:631-6. 2006
    ..This study provides the largest collection of physically determined eukaryotic cellular machines so far and a platform for biological data integration and modelling...
  4. ncbi Functional organization of the yeast proteome by systematic analysis of protein complexes
    Anne Claude Gavin
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Nature 415:141-7. 2002
    ..This higher-order map contains fundamental biological information and offers the context for a more reasoned and informed approach to drug discovery...
  5. ncbi Modular decomposition of protein-protein interaction networks
    Julien Gagneur
    Cellzome AG, Meyerhofstrasse 1, 69117 Heidelberg, Germany
    Genome Biol 5:R57. 2004
    ..The method is applied to experimental data on the pro-inflammatory tumor necrosis factor-alpha (TNF-alpha)/NFkappaB transcription factor pathway...
  6. ncbi Comparative assessment of large-scale data sets of protein-protein interactions
    Christian von Mering
    European Molecular Biology Laboratory, Meyerhofstrasse 1, 69012 Heidelberg, Germany
    Nature 417:399-403. 2002
    ..To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions...
  7. ncbi Identification of tightly regulated groups of genes during Drosophila melanogaster embryogenesis
    Sean D Hooper
    Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
    Mol Syst Biol 3:72. 2007
    ..By mapping the groups to the protein network, we also predict and experimentally confirm new functional associations...
  8. ncbi Identifying protein complexes directly from high-throughput TAP data with Markov random fields
    Wasinee Rungsarityotin
    Max Planck Institute for Molecular Genetics, Department of Computational Molecular Biology, Ihnestr, 73, D 14195 Berlin, Germany
    BMC Bioinformatics 8:482. 2007
    ..First, they construct an interaction graph from the data, predominantly using heuristics, and subsequently cluster its vertices to identify protein complexes...
  9. ncbi NRSAS: Nuclear Receptor Structure Analysis Servers
    Emmanuel Bettler
    CMBI KUN, PO Box 9010, 6500 GL Nijmegen, The Netherlands
    Nucleic Acids Res 31:3400-3. 2003
    ..The Nuclear Receptor Structure Analysis Servers (NRSAS) are freely accessible at http://www.cmbi.kun.nl/NR/servers/html/ and in-house copies can be obtained upon request...
  10. ncbi Semi-supervised learning for the identification of syn-expressed genes from fused microarray and in situ image data
    Ivan G Costa
    Department Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    BMC Bioinformatics 8:S3. 2007
    ..Complimentary large data sets of in situ RNA hybridization images for different stages of the fly embryo elucidate the spatial expression patterns...
  11. ncbi Mutation in the transcriptional regulator PhoP contributes to avirulence of Mycobacterium tuberculosis H37Ra strain
    Jong Seok Lee
    Department of Immunology, Max Planck Institute for Infection Biology, Chariteplatz 1, 10117 Berlin, Germany
    Cell Host Microbe 3:97-103. 2008
    ..Our approach demonstrates the feasibility of identifying minute but distinct differences between isogenic strains and illustrates the consequences of single point mutations on the survival stratagem of M. tuberculosis...
  12. ncbi EML3 is a nuclear microtubule-binding protein required for the correct alignment of chromosomes in metaphase
    Justus Tegha-Dunghu
    Zentrum fur Molekulare Biologie der Universitat Heidelberg, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany
    J Cell Sci 121:1718-26. 2008
    ..Our proteomic identification screen combined with sensitive phenotypic analysis therefore provides a reliable platform for the identification and characterisation of proteins important for correct cell division...