title: The drug-minded protein interaction database (DrumPID) for efficient target analysis and drug development.
abstract: The drug-minded protein interaction database (DrumPID) has been designed to provide fast, tailored information on drugs and their protein networks including indications, protein targets and side-targets. Starting queries include compound, target and protein interactions and organism-specific protein families. Furthermore, drug name, chemical structures and their SMILES notation, affected proteins (potential drug targets), organisms as well as diseases can be queried including various combinations and refinement of searches. Drugs and protein interactions are analyzed in detail with reference to protein structures and catalytic domains, related compound structures as well as potential targets in other organisms. DrumPID considers drug functionality, compound similarity, target structure, interactome analysis and organismic range for a compound, useful for drug development, predicting drug side-effects and structure-activity relationships.Database URL:http://drumpid.bioapps.biozentrum.uni-wuerzburg.de.
authors.affiliation: Functional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany.
authors.forename: Meik
authors.initials: M
authors.lastname: Kunz
authors.affiliation: Functional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany.
authors.forename: Chunguang
authors.initials: C
authors.lastname: Liang
authors.affiliation: Functional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany Present address: Wagnerstrasse 15 97080 Wuerzburg, Germany.
authors.forename: Santosh
authors.initials: S
authors.lastname: Nilla
authors.affiliation: Functional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany Bioinformatics & Biostatistics, Helmholtz Center Munich, Institute of Experimental Genetics, Genome Analysis Center, Ingolstaedter Landstrasse 1, 85764 Neuherberg dandekar@biozentrum.uni-wuerzburg.de alexander.cecil@helmholtz-muenchen.de.
authors.forename: Alexander
authors.initials: A
authors.lastname: Cecil
authors.affiliation: Functional Genomics and Systems Biology Group, Department of Bioinformatics, University Wuerzburg, Biocenter, 97074 Wuerzburg, Germany dandekar@biozentrum.uni-wuerzburg.de alexander.cecil@helmholtz-muenchen.de.
authors.forename: Thomas
authors.initials: T
authors.lastname: Dandekar
mesh_terms: D000818:Animals; D003628:Database Management Systems; D062313:Databases, Pharmaceutical; D030562:Databases, Protein; D055808:Drug Discovery; D006801:Humans; D020407:Internet; D004364:Pharmaceutical Preparations / Q000737:chemistry* / Q000378:metabolism; D000072417:Protein Domains; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism; D014584:User-Computer Interface
chemical_list: D004364:Pharmaceutical Preparations; D011506:Proteins