about
Unraveling protein networks with power graph analysisNetwork compression as a quality measure for protein interaction networksGoPubMed: exploring PubMed with the Gene OntologySuperCYP: a comprehensive database on Cytochrome P450 enzymes including a tool for analysis of CYP-drug interactionsVisualisation and graph-theoretic analysis of a large-scale protein structural interactomeSCOPPI: a structural classification of protein-protein interfacesDrug Promiscuity in PDB: Protein Binding Site Similarity Is KeyCorrection: Drug Promiscuity in PDB: Protein Binding Site Similarity Is KeyFormalizing biomedical concepts from textual definitionsExtending ontologies by finding siblings using set expansion techniquesA Maximum-Entropy approach for accurate document annotation in the biomedical domainMeMotif: a database of linear motifs in alpha-helical transmembrane proteinsGoWeb: a semantic search engine for the life science webSemi-automated ontology generation within OBO-EditSystematic drug perturbations on cancer cells reveal diverse exit paths from proliferative stateEquivalent binding sites reveal convergently evolved interaction motifs.A novel pattern recognition algorithm to classify membrane protein unfolding pathways with high-throughput single-molecule force spectroscopy.Improved mutation tagging with gene identifiers applied to membrane protein stability predictionUsing structural motif descriptors for sequence-based binding site predictionLIGSITEcsc: predicting ligand binding sites using the Connolly surface and degree of conservationMeta-analysis of Cancer Gene Profiling Data.Structural templates predict novel protein interactions and targets from pancreas tumour gene expression data.SCOWLP: a web-based database for detailed characterization and visualization of protein interfaces.Sealife: a semantic grid browser for the life sciences applied to the study of infectious diseases.The many faces of protein-protein interactions: A compendium of interface geometry.Terminologies for text-mining; an experiment in the lipoprotein metabolism domain.Biomedical word sense disambiguation with ontologies and metadata: automation meets accuracyTriangle network motifs predict complexes by complementing high-error interactomes with structural information.A user-centred evaluation framework for the Sealife semantic web browsers.Xenopus meiotic microtubule-associated interactome.Structural fragment clustering reveals novel structural and functional motifs in alpha-helical transmembrane proteins.Examination of apoptosis signaling in pancreatic cancer by computational signal transduction analysis.MetaDBSite: a meta approach to improve protein DNA-binding sites prediction.The GNAT library for local and remote gene mention normalizationGenome-wide expression profiling and functional network analysis upon neuroectodermal conversion of human mesenchymal stem cells suggest HIF-1 and miR-124a as important regulators.LipidXplorer: a software for consensual cross-platform lipidomics.Drug repositioning through incomplete bi-cliques in an integrated drug-target-disease network.Google goes cancer: improving outcome prediction for cancer patients by network-based ranking of marker genes.Automated Patent Categorization and Guided Patent Search using IPC as Inspired by MeSH and PubMedA novel informatics concept for high-throughput shotgun lipidomics based on the molecular fragmentation query language.
P50
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P50
description
German professor and bioinformatician
@en
name
Michael Schroeder
@en
Michael Schroeder
@fi
Michael Schroeder
@nb
Michael Schroeder
@nl
Michael Schroeder
@sv
type
label
Michael Schroeder
@en
Michael Schroeder
@fi
Michael Schroeder
@nb
Michael Schroeder
@nl
Michael Schroeder
@sv
prefLabel
Michael Schroeder
@en
Michael Schroeder
@fi
Michael Schroeder
@nb
Michael Schroeder
@nl
Michael Schroeder
@sv
P1960
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