Human Disease-Drug Network Based on Genomic Expression Profiles

• Published in: PloS one Vol. 4; no. 8; p. e6536
• Main Authors: Hu, Guanghui, Agarwal, Pankaj
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 06.08.2009; Public Library of Science (PLoS)
• Subjects: Apoptosis; Automation; Bipolar disorder; Cancer; Cancer therapies; Carcinogens; Chemotherapy; Cocaine; Computational Biology/Genomics; Crohn's Disease; Databases, Genetic; Datasets; Daunorubicin; Deoxyribonucleic acid; Dermatology; Disease; Diseases; DNA; DNA damage; DNA fragmentation; Drug discovery; Drugs; Gene expression; Gene Expression Profiling; Gene Expression Regulation - drug effects; Genes; Genetic research; Genetics and Genomics/Bioinformatics; Genetics and Genomics/Gene Expression; Genome, Human; Genomes; Genomics; Heart attacks; Hereditary spastic paraplegia; Humans; Huntington's disease; Keratosis; Liver cancer; Lobeline; Metabolites; Methamphetamine; Oligonucleotide Array Sequence Analysis; Pediatrics; Side effects; Squamous cell carcinoma; Studies; Tamoxifen; Target recognition; Type 2 diabetes; United States > US; Pennsylvania
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0006536

Drug repositioning offers the possibility of faster development times and reduced risks in drug discovery. With the rapid development of high-throughput technologies and ever-increasing accumulation of whole genome-level datasets, an increasing number of diseases and drugs can be comprehensively cha...