title: HAPPI-2: a Comprehensive and High-quality Map of Human Annotated and Predicted Protein Interactions.
abstract: Human protein-protein interaction (PPI) data is essential to network and systems biology studies. PPI data can help biochemists hypothesize how proteins form complexes by binding to each other, how extracellular signals propagate through post-translational modification of de-activated signaling molecules, and how chemical reactions are coupled by enzymes involved in a complex biological process. Our capability to develop good public database resources for human PPI data has a direct impact on the quality of future research on genome biology and medicine.
  
  
  
  The database of Human Annotated and Predicted Protein Interactions (HAPPI) version 2.0 is a major update to the original HAPPI 1.0 database. It contains 2,922,202 unique protein-protein interactions (PPI) linked by 23,060 human proteins, making it the most comprehensive database covering human PPI data today. These PPIs contain both physical/direct interactions and high-quality functional/indirect interactions. Compared with the HAPPI 1.0 database release, HAPPI database version 2.0 (HAPPI-2) represents a 485% of human PPI data coverage increase and a 73% protein coverage increase. The revamped HAPPI web portal provides users with a friendly search, curation, and data retrieval interface, allowing them to retrieve human PPIs and available annotation information on the interaction type, interaction quality, interacting partner drug targeting data, and disease information. The updated HAPPI-2 can be freely accessed by Academic users at http://discovery.informatics.uab.edu/HAPPI .
  
  
  
  While the underlying data for HAPPI-2 are integrated from a diverse data sources, the new HAPPI-2 release represents a good balance between data coverage and data quality of human PPIs, making it ideally suited for network biology.
authors.affiliation: Wenzhou Medical University First Affiliate Hospital, Wenzhou, Zhejiang Province, China. jakechen@uab.edu.|Medeolinx, LLC, Indianapolis, IN, 46280, USA. jakechen@uab.edu.|The Informatics Institute, University of Alabama at Birmingham School of Medicine, Birmingham, AL, 35294, USA. jakechen@uab.edu.|Indiana Center for Systems Biology and Personalized Medicine, Indiana University School of Informatics and Computing, Indianapolis, IN, 46202, USA. jakechen@uab.edu.
authors.forename: Jake Y
authors.initials: JY
authors.lastname: Chen
authors.affiliation: Medeolinx, LLC, Indianapolis, IN, 46280, USA.
authors.forename: Ragini
authors.initials: R
authors.lastname: Pandey
authors.affiliation: Indiana Center for Systems Biology and Personalized Medicine, Indiana University School of Informatics and Computing, Indianapolis, IN, 46202, USA.
authors.forename: Thanh M
authors.initials: TM
authors.lastname: Nguyen
mesh_terms: D030562:Databases, Protein; D006801:Humans; D020407:Internet; D058977:Molecular Sequence Annotation; D025941:Protein Interaction Mapping / Q000379:methods*