title: In silico analysis of genomic data for construction of nuclear receptor network.
abstract: Availability of genome-wide information in public database provides unprecedented opportunity for developing new strategy to uncover potential interactions of members in large functional family. Here we describe a systematic strategy for constructing and analyzing potential interaction map to uncover novel interaction between nuclear receptors that may play important roles in human disease. This in silico approach can prioritize candidate interactions for further functional validation and assess its clinical relevance.
authors.affiliation: Division of Cancer Medicine, Department of Systems Biology, MD Anderson Cancer Center, The University of Texas, 1515 Holcombe Blvd., Unit 950, Houston, TX, 77030, USA.
authors.forename: Yun-Young
authors.initials: YY
authors.lastname: Park
authors.forename: Ju-Seog
authors.initials: JS
authors.lastname: Lee
mesh_terms: D045744:Cell Line, Tumor; D003198:Computer Simulation; D030561:Databases, Nucleic Acid; D015972:Gene Expression Regulation, Neoplastic; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D006801:Humans; D020407:Internet; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism*; D025941:Protein Interaction Mapping / Q000379:methods; D060066:Protein Interaction Maps; D018160:Receptors, Cytoplasmic and Nuclear / Q000378:metabolism*; D012984:Software
chemical_list: D018160:Receptors, Cytoplasmic and Nuclear