title: Computational reconstruction of protein-protein interaction networks: algorithms and issues.
abstract: Accurate mapping of protein-protein interaction networks in model organisms is a crucial first step toward subsequent quantitative study of the organization and evolution of biological systems. Data quality of experimental interactome maps can be assessed and improved by integrating multiple sources of evidence using machine learning methods. Here we describe the commonly used algorithms for predicting protein-protein interaction by genome data integration, and discuss several important yet often overlooked issues in computational reconstruction of protein-protein interaction networks.
authors.affiliation: Bioinformatics Program, Boston University, Boston, MA, USA.
authors.forename: Eric
authors.initials: E
authors.lastname: Franzosa
authors.forename: Bolan
authors.initials: B
authors.lastname: Linghu
authors.forename: Yu
authors.initials: Y
authors.lastname: Xia
mesh_terms: D000465:Algorithms; D000818:Animals; D017173:Caenorhabditis elegans / Q000235:genetics / Q000378:metabolism; D019295:Computational Biology / Q000379:methods*; D004843:Epistasis, Genetic / Q000502:physiology; D053263:Gene Regulatory Networks / Q000502:physiology; D025941:Protein Interaction Mapping / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism