Ontology highlight
ABSTRACT:
SUBMITTER: Venkatesan K
PROVIDER: S-EPMC2872561 | biostudies-literature | 2009 Jan
REPOSITORIES: biostudies-literature
Venkatesan Kavitha K Rual Jean-François JF Vazquez Alexei A Stelzl Ulrich U Lemmens Irma I Hirozane-Kishikawa Tomoko T Hao Tong T Zenkner Martina M Xin Xiaofeng X Goh Kwang-Il KI Yildirim Muhammed A MA Simonis Nicolas N Heinzmann Kathrin K Gebreab Fana F Sahalie Julie M JM Cevik Sebiha S Simon Christophe C de Smet Anne-Sophie AS Dann Elizabeth E Smolyar Alex A Vinayagam Arunachalam A Yu Haiyuan H Szeto David D Borick Heather H Dricot Amélie A Klitgord Niels N Murray Ryan R RR Lin Chenwei C Lalowski Maciej M Timm Jan J Rau Kirstin K Boone Charles C Braun Pascal P Cusick Michael E ME Roth Frederick P FP Hill David E DE Tavernier Jan J Wanker Erich E EE Barabási Albert-László AL Vidal Marc M
Nature methods 20081207 1
Several attempts have been made to systematically map protein-protein interaction, or 'interactome', networks. However, it remains difficult to assess the quality and coverage of existing data sets. Here we describe a framework that uses an empirically-based approach to rigorously dissect quality parameters of currently available human interactome maps. Our results indicate that high-throughput yeast two-hybrid (HT-Y2H) interactions for human proteins are more precise than literature-curated int ...[more]