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a(CHEBI:"antipsychotic agent")

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Entity

Name
antipsychotic agent
Namespace
chebi
Namespace Version
20180906
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/b46b65c3da259b6e86026514dfececab7c22a11b/external/chebi-names.belns

Appears in Networks 1

Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer's disease and schizophrenia. v1.0.0

This file encodes the article Activation of M1 and M4 muscarinic receptors as potential treatments for Alzheimer’s disease and schizophrenia by Choi et al, 2014

In-Edges 0

Out-Edges 2

a(CHEBI:"antipsychotic agent") regulates p(HGNC:DRD2) View Subject | View Object

Current treatments include both typical (eg, haloperidol and chlorpromazine) and atypical (eg, risperidone and clozapine) antipsychotics, which act on the dopaminergic system and D2 dopamine receptors in particular. These treatments show partial efficacy in reducing psychotic or positive symptoms;30 however, they demonstrate little to no efficacy in addressing negative symptoms and cognitive impairments, which can prevent patients from participating fully and productively in society PubMed:24511233

Appears in Networks:

a(CHEBI:"antipsychotic agent") causesNoChange bp(GO:cognition) View Subject | View Object

Current treatments include both typical (eg, haloperidol and chlorpromazine) and atypical (eg, risperidone and clozapine) antipsychotics, which act on the dopaminergic system and D2 dopamine receptors in particular. These treatments show partial efficacy in reducing psychotic or positive symptoms;30 however, they demonstrate little to no efficacy in addressing negative symptoms and cognitive impairments, which can prevent patients from participating fully and productively in society PubMed:24511233

Appears in Networks:

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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.