p(FPLX:ERK) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 235))

View Subject View Object

PubMed:8282104

The reaction with the diagnostic antibodies (Fig. 4) is similar to the examples shown previously for cdk2 (Fig. 2), MAP kinase [8], or GSK-3 [26], indicating the phosphorylation of the SP motifs for which these antibodies are sensitive (serines 199, 202, 235, 396, 404; see Fig. 1)

Related Edges 19

• p(HGNC:CDK5) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 199))
• p(HGNC:CDK5) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(HGNC:CDK5) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 235))
• p(HGNC:CDK5) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 396))
• p(HGNC:CDK5) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 404))
• p(FPLX:ERK) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 199))
• p(FPLX:ERK) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(FPLX:ERK) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 396))
• p(FPLX:ERK) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 404))
• p(FPLX:GSK3) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 199))
• p(FPLX:GSK3) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(FPLX:GSK3) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 235))
• p(FPLX:GSK3) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 396))
• p(FPLX:GSK3) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 404))
• p(HGNC:CDK2) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 199))
• p(HGNC:CDK2) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 202))
• p(HGNC:CDK2) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 235))
• p(HGNC:CDK2) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 396))
• p(HGNC:CDK2) directlyIncreases p(HGNC:MAPT, pmod(Ph, Ser, 404))

Confidence

High

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.

---