title: Comparative assessment of large-scale data sets of protein-protein interactions.
abstract: Comprehensive protein protein interaction maps promise to reveal many aspects of the complex regulatory network underlying cellular function. Recently, large-scale approaches have predicted many new protein interactions in yeast. To measure their accuracy and potential as well as to identify biases, strengths and weaknesses, we compare the methods with each other and with a reference set of previously reported protein interactions.
authors: European Molecular Biology Laboratory, Meyerhofstrasse 1, 69012 Heidelberg, Germany.
authors: Christian
authors: C
authors: von Mering
authors: Roland
authors: R
authors: Krause
authors: Berend
authors: B
authors: Snel
authors: Michael
authors: M
authors: Cornell
authors: Stephen G
authors: SG
authors: Oliver
authors: Stanley
authors: S
authors: Fields
authors: Peer
authors: P
authors: Bork
mesh_terms: D015982:Bias; D016208:Databases, Factual; D005189:False Positive Reactions; D005656:Fungal Proteins / Q000235:genetics / Q000378:metabolism; D013058:Mass Spectrometry; D011485:Protein Binding; D011506:Proteins / Q000235:genetics / Q000378:metabolism*; D012333:RNA, Messenger / Q000032:analysis / Q000235:genetics; D012015:Reference Standards; D012680:Sensitivity and Specificity; D020798:Two-Hybrid System Techniques
chemical_list: D005656:Fungal Proteins; D011506:Proteins; D012333:RNA, Messenger