title: Online resources for the molecular contextualization of disease.
abstract: Searching online resources can provide medical researchers with an efficient means of gathering existing knowledge on the molecular causes of disease. The researcher may choose to explore the following areas, e.g., genetic mutations associated with the disease, function and cellular sub-localization of the associated protein(s) and their protein interaction partners. Using a small case study, examining the disease retinoblastoma, this chapter guides the reader through the relevant information contained within relevant databases. It is shown that the integration of online biological knowledge with genomic and proteomic experimental data provides insights into the understanding of diseases in their molecular context.
authors.affiliation: Biomolecular Sciences, Faculty of Science, University of New South Wales, Australia.
authors.forename: Chi N I
authors.initials: CN
authors.lastname: Pang
authors.forename: Marc R
authors.initials: MR
authors.lastname: Wilkins
mesh_terms: D000465:Algorithms; D030541:Databases, Genetic / Q000600:supply & distribution; D030342:Genetic Diseases, Inborn / Q000145:classification / Q000235:genetics*; D023281:Genomics / Q000379:methods; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics / Q000502:physiology; D008954:Models, Biological; D009154:Mutation / Q000502:physiology; D009862:Online Systems / Q000600:supply & distribution*; D011485:Protein Binding; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000378:metabolism / Q000502:physiology; D040901:Proteomics / Q000379:methods; D016160:Retinoblastoma Protein / Q000235:genetics; D015398:Signal Transduction / Q000235:genetics / Q000502:physiology; D014018:Tissue Distribution
chemical_list: D011506:Proteins; D016160:Retinoblastoma Protein