1. Catalog
  2. Nodes
  3. p(HBP:"paired helical filaments")

p(HBP:"paired helical filaments")

Equivalencies: 0 | Classes: 0 | Children: 0 | Explore

Entity

Name
paired helical filaments
Namespace
HBP
Namespace Version
20190207
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/cf4d8bb88754f036b943b4d94ad96e103dcb7149/export/hbp-names.belns

Appears in Networks 2

Tau Protein Hyperphosphorylation and Aggregation in Alzheimer’s Disease and Other Tauopathies, and Possible Neuroprotective Strategies v1.0.0

Tau Modifications v1.9.5

Tau Modifications Sections of NESTOR

In-Edges 1

p(HGNC:MAPT, var("p.Glu391*")) association p(HBP:"paired helical filaments") View Subject | View Object

The tau fragment first isolated from the PHF core is approximately 100 amino acids in length. Its N-terminus was defined by sequence analysis [30,56], and its C-terminus was defined by epitope mapping of MN423. Immunoreactivity was shown to depend on a specific C-terminal trunctation at Glu391 [33,150]. PubMed:26751493

Appears in Networks:

Out-Edges 2

p(HBP:"paired helical filaments") association p(HGNC:MAPT, var("p.Glu391*")) View Subject | View Object

The tau fragment first isolated from the PHF core is approximately 100 amino acids in length. Its N-terminus was defined by sequence analysis [30,56], and its C-terminus was defined by epitope mapping of MN423. Immunoreactivity was shown to depend on a specific C-terminal trunctation at Glu391 [33,150]. PubMed:26751493

Appears in Networks:

p(HBP:"paired helical filaments") partOf a(GO:"neurofibrillary tangle") View Subject | View Object

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.