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p(HGNC:MAPK12)

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Entity

Name
MAPK12
Namespace
hgnc
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/hgnc-names.belns

Appears in Networks 1

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 0

Out-Edges 6

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Thr, 396)) View Subject | View Object

The AD2 epitope, which corresponds to phosphorylated S396 and S404 in tau, was generated most effectively by SAPK3/p38gamma and SAPK4/p38delta PubMed:11943212

Appears in Networks:

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Ser, 404)) View Subject | View Object

The AD2 epitope, which corresponds to phosphorylated S396 and S404 in tau, was generated most effectively by SAPK3/p38gamma and SAPK4/p38delta PubMed:11943212

Appears in Networks:

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Ser, 422)) View Subject | View Object

Finally, phosphorylation of S422 in tau, as recognisedby antibody AP422, was generated most e¤ciently by SAPK3/p38gamma, SAPK4/p38delta and SAPK2b/p38beta PubMed:11943212

Appears in Networks:

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Thr, 181)) View Subject | View Object

All five SAP kinases generated the AT270 epitope, indicative of phosphorylation of T181 in tau. PubMed:11943212

Appears in Networks:

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Thr, 205)) View Subject | View Object

For AT8, which recognises phosphorylated S202 and T205 in tau, SAPK3/p38gamma gave the strongest labelling PubMed:11943212

Appears in Networks:

p(HGNC:MAPK12) increases p(HGNC:MAPT, pmod(Ph, Ser, 202)) View Subject | View Object

For AT8, which recognises phosphorylated S202 and T205 in tau, SAPK3/p38gamma gave the strongest labelling PubMed:11943212

Appears in Networks:

About

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.