PTIR: Predicted Tomato Interactome Resource

• DOI: 10.1038/srep25047
• Publication Date: 2016-04-28T09:33:16Z
• Authors: Junyang Yue; Wei Xu; Rongjun Ban; Shengxiong Huang; Min Miao; Xiaofeng Tang; Guoqing Liu; Yongsheng Liu
• Keywords: Interactome; Bimolecular fluorescence complementation; Two-hybrid screening; Proteome

Abstract Protein-protein interactions (PPIs) are involved in almost all biological processes and form the basis of entire interactomics systems living organisms. Identification characterization these fundamental to elucidating molecular mechanisms signal transduction metabolic pathways at both cellular systemic levels. Although a number experimental computational studies have been performed on model organisms, exploring investigating PPIs tomatoes remain lacking. Here, we developed Predicted Tomato Interactome Resource (PTIR), based experimentally determined orthologous six The reliability individual was also evaluated by shared gene ontology (GO) terms, co-evolution, co-expression, co-localization available domain-domain (DDIs). Currently, PTIR covers 357,946 non-redundant among 10,626 proteins, including 12,291 high-confidence, 226,553 medium-confidence 119,102 low-confidence interactions. These expected cover 30.6% tomato proteome possess reasonable distribution. In addition, ten randomly selected were verified using yeast two-hybrid (Y2H) screening or bimolecular fluorescence complementation (BiFC) assay. constructed implemented as dedicated database is http://bdg.hfut.edu.cn/ptir/index.html without registration.