title: Integrative systems biology approaches to identify and prioritize disease and drug candidate genes.
abstract: Although a number of computational approaches have been developed to integrate data from multiple sources for the purpose of predicting or prioritizing candidate disease genes, relatively few of them focus on identifying or ranking drug targets. To address this deficit, we have developed an approach to specifically identify and prioritize disease and drug candidate genes. In this chapter, we demonstrate the applicability of integrative systems-biology-based approaches to identify potential drug targets and candidate genes by employing information extracted from public databases. We illustrate the method in detail using examples of two neurodegenerative diseases (Alzheimer's and Parkinson's) and one neuropsychiatric disease (Schizophrenia).
authors.affiliation: Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
authors.forename: Vivek
authors.initials: V
authors.lastname: Kaimal
authors.forename: Divya
authors.initials: D
authors.lastname: Sardana
authors.forename: Eric E
authors.initials: EE
authors.lastname: Bardes
authors.forename: Ranga Chandra
authors.initials: RC
authors.lastname: Gudivada
authors.forename: Jing
authors.initials: J
authors.lastname: Chen
authors.forename: Anil G
authors.initials: AG
authors.lastname: Jegga
mesh_terms: D000465:Algorithms; D020869:Gene Expression Profiling; D056726:Genetic Association Studies; D020022:Genetic Predisposition to Disease / Q000235:genetics*; D006801:Humans; D012984:Software; D049490:Systems Biology / Q000379:methods*