Research Topics
| Lars Juhl JensenSummaryAffiliation: European Molecular Biology Laboratory Country: Germany Publications
| Collaborators
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Detail Information
Publications
Literature mining for the biologist: from information retrieval to biological discoveryLars Juhl Jensen
European Molecular Biology Laboratory, D 69117 Heidelberg, Germany
Nat Rev Genet 7:119-29. 2006..However, the latter will require the integration of literature and high-throughput data, which should encourage close collaborations between biologists and computational linguists...
A side effect resource to capture phenotypic effects of drugsMichael Kuhn
Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
Mol Syst Biol 6:343. 2010..We illustrate the potential of SIDER with a number of analyses. The resource is freely available for academic research at http://sideeffects.embl.de...
Large-scale prediction of drug-target relationshipsMichael Kuhn
European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
FEBS Lett 582:1283-90. 2008..We finally discuss how phenotypic data could help to expand our understanding of the complex mechanisms of drug action...
Protein disorder prediction: implications for structural proteomicsRune Linding
EMBL, Biocomputing Unit, Meyerhofstr 1, D 69117 Heidelberg, Germany
Structure 11:1453-9. 2003..The tool is freely available via a web interface (http://dis.embl.de) and can be downloaded for use in large-scale studies...
Toward molecular trait-based ecology through integration of biogeochemical, geographical and metagenomic dataJeroen Raes
Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
Mol Syst Biol 7:473. 2011..Together, our results show that the functional community composition derived from metagenomes is an important quantitative readout for molecular trait-based biogeography and ecology...
Biochemistry. Not comparable, but complementaryLars Juhl Jensen
European Molecular Biology Laboratory, D-69117 Heidelberg, Germany
Science 322:56-7. 2008
A systematic screen for protein-lipid interactions in Saccharomyces cerevisiaeOriol Gallego
Structural and Computational Biology Unit, European Molecular Biology Laboratory, EMBL, Heidelberg, Germany
Mol Syst Biol 6:430. 2010....
Enhanced function annotations for Drosophila serine proteases: a case study for systematic annotation of multi-member gene familiesParantu K Shah
European Molecular Biology Laboratory, Meyerhofstrasse 1, Heidelberg, Germany
Gene 407:199-215. 2008..Utilization of such multi-fold approaches results in 10-fold increase of function annotation for Drosophila serine proteases and demonstrates value in increasing annotations in multiple genomes...
STITCH: interaction networks of chemicals and proteinsMichael Kuhn
European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
Nucleic Acids Res 36:D684-8. 2008..5 million genes across 373 genomes and their interactions contained in the STRING database. STITCH is available at http://stitch.embl.de/...
Re-analysis of data and its integrationLars Juhl Jensen
European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
FEBS Lett 579:1802-7. 2005..Here, we demonstrate the power of data re-analysis and integration by applying it in a case study to data from deletion phenotype screens and mRNA expression profiling...
ArrayProspector: a web resource of functional associations inferred from microarray expression dataLars Juhl Jensen
European Molecular Biology Laboratory, Meyerhofstrasse 1, D-69117 Heidelberg, Germany
Nucleic Acids Res 32:W445-8. 2004..The resource allows every association to be inspected visually and can be accessed at http://www.bork.embl.de/ArrayProspector...
eggNOG: automated construction and annotation of orthologous groups of genesLars Juhl Jensen
European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany
Nucleic Acids Res 36:D250-4. 2008..Users can query the resource for individual genes via a web interface or download the complete set of orthologous groups at http://eggnog.embl.de...
Drug target identification using side-effect similarityMonica Campillos
European Molecular Biology Laboratory EMBL, Meyerhofstrasse 1, 69117 Heidelberg, Germany
Science 321:263-6. 2008..Nine of these were tested and confirmed in cell assays, documenting the feasibility of using phenotypic information to infer molecular interactions and hinting at new uses of marketed drugs...
Linear motif atlas for phosphorylation-dependent signalingMartin Lee Miller
Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark
Sci Signal 1:ra2. 2008..The atlas is available as a community resource (http://netphorest.info)...
SuperTarget and Matador: resources for exploring drug-target relationshipsStefan Günther
Structural Bioinformatics Group, Institute of Molecular Biology and Bioinformatics, Charite University Medicine Berlin, Arnimallee 22, 14195 Berlin, Germany
Nucleic Acids Res 36:D919-22. 2008..SuperTarget and Matador are available at http://insilico.charite.de/supertarget and http://matador.embl.de...
Systematic discovery of in vivo phosphorylation networksRune Linding
Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Canada
Cell 129:1415-26. 2007..Applying this approach to DNA damage signaling, we show that 53BP1 and Rad50 are phosphorylated by CDK1 and ATM, respectively. We describe a scalable strategy to evaluate predictions, which suggests that BCLAF1 is a GSK-3 substrate...
Prediction of novel archaeal enzymes from sequence-derived featuresLars Juhl Jensen
Center for Biological Sequence Analysis, BioCentrum-DTU, The Technical University of Denmark, DK-2800 Lyngby, Denmark
Protein Sci 11:2894-8. 2002..The method does not make use of sequence similarity; rather, it relies on predicted protein features like cotranslational and posttranslational modifications, secondary structure, and simple physical/chemical properties...
Functionality of system components: conservation of protein function in protein feature spaceLars Juhl Jensen
Center for Biological Sequence Analysis, BioCentrum-DTU, The Technical University of Denmark, DK-2800 Lyngby, Denmark
Genome Res 13:2444-9. 2003..From this analysis, we conclude that for the posttranslational modifications studied, both the cellular use and the sequence motifs are conserved within Eukarya...
Feature-based prediction of non-classical and leaderless protein secretionJannick Dyrløv Bendtsen
Center for Biological Sequence Analysis BioCentrum DTU, Building 208, Technical University of Denmark, DK 2800 Lyngby, Denmark
Protein Eng Des Sel 17:349-56. 2004..By scanning the entire human proteome we identified new proteins potentially undergoing non-classical secretion. Predictions can be made at http://www.cbs.dtu.dk/services/SecretomeP...
Comparison of computational methods for the identification of cell cycle-regulated genesUlrik de Lichtenberg
Center for Biological Sequence Analysis, Technical University of Denmark DK-2800 Lyngby, Denmark
Bioinformatics 21:1164-71. 2005..We present a simple permutation-based method that performs better than most existing methods...
Crystal ball. Systems biology: in the broadest sense of the wordDavid W Ussery
Ulrik de Lichtenberg, Center for Biological Sequence Analysis, Technical University of Denmark
Environ Microbiol 7:482-3. 2005
Extraction of regulatory gene/protein networks from MedlineJasmin Saric
EML Research gGmbH D 69118 Heidelberg, Germany
Bioinformatics 22:645-50. 2006..The biomedical literature, however, contains information on several other equally important regulatory mechanisms, in particular phosphorylation, which we now expanded for our rule-based system also to extract...
Proteome survey reveals modularity of the yeast cell machineryAnne-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...
Identification and analysis of evolutionarily cohesive functional modules in protein networksMonica Campillos
The European Molecular Biology Laboratory EMBL, 69117 Heidelberg, Germany
Genome Res 16:374-82. 2006....
A new non-linear normalization method for reducing variability in DNA microarray experimentsChristopher Workman
Genedata AG, Basel, Switzerland
Genome Biol 3:research0048. 2002..Current normalization techniques are most often linear and therefore not capable of fully correcting for these effects...
