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a(MESH:"Antipsychotic Agents")

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Entity

Name
Antipsychotic Agents
Namespace
mesh
Namespace Version
20181007
Namespace URL
https://raw.githubusercontent.com/pharmacome/terminology/8ccfed235e418e4c8aa576f9a5ef0f838e794c7f/external/mesh-names.belns

Appears in Networks 2

M1 muscarinic acetylcholine receptor in Alzheimer’s disease v1.0.0

This file encodes the article M1 muscarinic acetylcholine receptor in Alzheimer’s disease by Jiang et al, 2014

mTOR-Related Brain Dysfunctions in Neuropsychiatric Disorders v1.0.0

In-Edges 1

a(MESH:"4-(3-(4-butylpiperidin-1-yl)propyl)-7-fluoro-4H-benzo(1,4)oxazin-3-one") association a(MESH:"Antipsychotic Agents") View Subject | View Object

The M1 mAChR agonist AC-260584 was recently reported to be orally bioavailable with favorable antipsychotic and cognition-enhancing effects[118, 122]. PubMed:24590577

Appears in Networks:

Out-Edges 3

a(MESH:"Antipsychotic Agents") association a(MESH:"4-(3-(4-butylpiperidin-1-yl)propyl)-7-fluoro-4H-benzo(1,4)oxazin-3-one") View Subject | View Object

The M1 mAChR agonist AC-260584 was recently reported to be orally bioavailable with favorable antipsychotic and cognition-enhancing effects[118, 122]. PubMed:24590577

Appears in Networks:

a(MESH:"Antipsychotic Agents") decreases path(MESH:Schizophrenia) View Subject | View Object

These pieces of evidence corroborate findings showing that several autophagy inducers, such as lithium, rapamycin, and Food and Drug Administration (FDA) approved antipsychotic drugs are effective to treat psychosis including schizophrenia PubMed:30061532

Appears in Networks:

a(MESH:"Antipsychotic Agents") decreases path(MESH:"Psychotic Disorders") View Subject | View Object

These pieces of evidence corroborate findings showing that several autophagy inducers, such as lithium, rapamycin, and Food and Drug Administration (FDA) approved antipsychotic drugs are effective to treat psychosis including schizophrenia PubMed:30061532

Appears in Networks:

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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.