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  3. p(HGNC:MAPT, frag("237_367"))

p(HGNC:MAPT, frag("237_367"))

Equivalencies: 1 | Classes: 0 | Children: 0 | Explore

Entity

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

Appears in Networks 1

TAU and Interaction Partners v1.2.5

TAU Interactions Section of NESTOR

In-Edges 2

a(HBP:"microtubule-binding region") equivalentTo p(HGNC:MAPT, frag("237_367")) View Subject | View Object

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p(HGNC:MAPT) hasVariant p(HGNC:MAPT, frag("237_367")) View Subject | View Object

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Out-Edges 3

p(HGNC:MAPT, frag("237_367")) directlyIncreases complex(GO:microtubule) View Subject | View Object

Tau protein plays a role in the extension and maintenance of neuronal processes through a direct association with microtubules. It is found in the axonal microtubules of mature neurons (Binder et al ., 1985) and in the axonlike elongated neurite processes synthesized by differentiating neurons in culture. To address this issue, three different tau protein fragments were synthesized in vitro: (a) the tau protein repeat domain (residues 237 to 367); (b) the amino terminal half of tau protein (residues 1-237) ; and (c) the carboxy terminal nonrepeat domain of tau protein (residues 358 to 430). From these results, we conclude the repeat domain contributes most of the binding energy for microtubules. PubMed:1918161

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p(HGNC:MAPT, frag("237_367")) partOf p(HGNC:MAPT) View Subject | View Object

Appears in Networks:

p(HGNC:MAPT, frag("237_367")) equivalentTo a(HBP:"microtubule-binding region") 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.