Integrates two kinds of high-throughput phosphorylation data, protein microarray-verified kinase–substrate relationships (KSRs) and mass spectrometry (MS)-verified phosphorylation sites. Relative to other human phosphorylation-related databases, such as Phospho.ELM, PhosphoNetworks has three significant merits. First, it is a high-resolution phosphorylation network database, which connects kinases not only to their downstream substrates but also at specific phosphorylation sites on the substrates. Second, it covers a far greater number of novel identified KSRs (24 046 raw KSRs and 3656 refined KSRs) and novel predicted phosphorylation motifs (300 motifs, over double that of the previous knowledgebase). Finally, it provides some unique tools to make it easier for the user to explore and analyze the data.
Department of Ophthalmology, Johns Hopkins School of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Pharmacology and Molecular Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA; Center for High-Throughput Biology, Johns Hopkins School of Medicine, Baltimore, MD, USA; Department of Biology, North Carolina Agricultural and Technical State University, Greensboro, NC, USA; The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD, USA
PhosphoNetworks funding source(s)
NIH grants (R01 DK073368, DP1 CA174423, RR020839, DK082840, GM076102, CA125807, CA160036, HG006434 and RR020839) (in part)