KANPHOS, derived from the abbreviation of “kinase-associated neural phospho-signaling,” is an online database system that provides the phosphorylated sites identified by our recent studies as well as those previously reported in the literature. You will find what substrates are (including its phosphorylated sites) phosphorylated by a specific kinase and which extracellular stimuli activate (or inhibit) the protein phosphorylation via intracellular signaling cascades.

The database system and its web portal were built based on XooNIps (http://xoonips.sourceforge.jp).
As of April 2015, about 8,300 pairs of protein kinases and phosphorylated sites identified by our method, as well as about 4,000 pairs cited from the literature, have been registered in the database. All data are controlled for quality via review and curation by specialists.

The web portal supports three modes of search:

    1) Search for substrates phosphorylated by a specific kinase;
    2) Search for kinases phosphorylating a specific protein; and
    3) Search for kinases and their target substrates by a specific signaling pathway.

Each protein (kinase/substrate) item is linked with external databases such as Uniprot KB (proteomics database), HGNC DB (human genomics database), HuGE Navigator (human genome epidemiology database), and Allen Brain Atlas, enabling us to easily predict unknown functions of the protein phosphorylation. As an advanced option, we also implemented a function to show a list of pathways in which the set of substrates phosphorylated by a specific condition is overrepresented more than expected, via communication with Reactome (http://www.reactome.org).

KANPHOS Platform Committee
  • Chairperson
    • Kozo Kaibuchi
  • Steering Committee
    • Junichiro Yoshimoto
    • Mutsuki Amano
    • Tomoki Nishioka
    • Takayuki Kanon
    • Shiro Usui
  • Committee
    • Shin Ishii
    • Taku Nagai
    • Keisuke Kuroda
    • Shinichi Nakamuta
    • Yoko Yamaguchi
  • Engineer
    • Takaharu Higa
  • Strategic Research Program for Brain Science of AMED, Japan
  • INCF Japan Node