title: Protein-protein interaction databases.
abstract: Years of meticulous curation of scientific literature and increasingly reliable computational predictions have resulted in creation of vast databases of protein interaction data. Over the years, these repositories have become a basic framework in which experiments are analyzed and new directions of research are explored. Here we present an overview of the most widely used protein-protein interaction databases and the methods they employ to gather, combine, and predict interactions. We also point out the trade-off between comprehensiveness and accuracy and the main pitfall scientists have to be aware before adopting protein interaction databases in any single-gene or genome-wide analysis.
authors: Faculty of Health Sciences, Novo Nordisk Foundation Centre for Protein Research, University of Copenhagen, Blegdamsvej 3B, 2200, København N, Denmark.
authors: Damian
authors: D
authors: Szklarczyk
authors: Lars Juhl
authors: LJ
authors: Jensen
mesh_terms: D001665:Binding Sites; D018360:Crystallography, X-Ray; D008024:Ligands; D008967:Molecular Biology / Q000379:methods*; D011485:Protein Binding; D060066:Protein Interaction Maps; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D008024:Ligands; D011506:Proteins