Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Effect of Terpenes from Poria Cocos: Verification of Therapeutic Modes of Action for Alzheimer’s Disease using Molecular Docking, Drug-induced Transcriptomes and Diffusion Network

ABSTRACT: This study aimed to identify the modes of action (MOA) of Poria Cocos water extract (PCW) in HT29 cell line.

ORGANISM(S): Homo sapiens

PROVIDER: GSE232862 | GEO | 2024/04/23

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Effect of Terpenes from Poria Cocos: Verification of Therapeutic Modes of Action for Alzheimer’s Disease using Molecular Docking, Drug-induced Transcriptomes and Diffusion Network [SW1783]

Project description:This study aimed to identify the modes of action (MOA) of Poria Cocos water extract (PCW) in SW1783 cell line.

2024-04-23 | GSE232868 | GEO

HT29_Discovery and utilization study of the dominant pharmacological action organ of Aconitum carmichaeli Debeaux using multiple bioinformatic analyses

Project description:This study aimed to identify the modes of action (MOA) of Aconitum carmichaeli Debeaux water extract (ACDW) in HT29 cell line.

2024-07-05 | GSE270923 | GEO

Discovery and prediction study of the dominant pharmacological action organ of Aconitum carmichaeli Debeaux using multiple bioinformatic analyses

Project description:This study aimed to identify the modes of action (MOA) of Aconitum carmichaeli Debeaux water extract (ACDW) in HT29 and SW1783 cell line.

2024-07-29 | GSE273185 | GEO

Untargeted Metabolomics To Ascertain Antibiotic Modes of Action

Project description:Deciphering the mode of action (MOA) of new antibiotics discovered through phenotypic screening is of increasing importance. Metabolomics offers a potentially rapid and cost-effective means of identifying modes of action of drugs whose effects are mediated through changes in metabolism. Metabolomics techniques also collect data on off-target effects and drug modifications. Here, we present data from an untargeted liquid chromatography-mass spectrometry approach to identify the modes of action of eight compounds: 1-[3-fluoro-4-(5-methyl-2,4-dioxo-pyrimidin-1-yl)phenyl]-3-[2-(trifluoromethyl)phenyl]urea (AZ1), 2-(cyclobutylmethoxy)-5'-deoxyadenosine, triclosan, fosmidomycin, CHIR-090, carbonyl cyanidem-chlorophenylhydrazone (CCCP), 5-chloro-2-(methylsulfonyl)-N-(1,3-thiazol-2-yl)-4-pyrimidinecarboxamide (AZ7), and ceftazidime. Data analysts were blind to the compound identities but managed to identify the target as thymidylate kinase for AZ1, isoprenoid biosynthesis for fosmidomycin, acyl-transferase for CHIR-090, and DNA metabolism for 2-(cyclobutylmethoxy)-5'-deoxyadenosine. Changes to cell wall metabolites were seen in ceftazidime treatments, although other changes, presumably relating to off-target effects, dominated spectral outputs in the untargeted approach. Drugs which do not work through metabolic pathways, such as the proton carrier CCCP, have no discernible impact on the metabolome. The untargeted metabolomics approach also revealed modifications to two compounds, namely, fosmidomycin and AZ7. An untreated control was also analyzed, and changes to the metabolome were seen over 4 h, highlighting the necessity for careful controls in these types of studies. Metabolomics is a useful tool in the analysis of drug modes of action and can complement other technologies already in use.

2017-06-16 | MTBLS464 | MetaboLights

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchD

Project description:This study aimed to identify transcript expression induced by tonifying herbal medicines (THM) and modes of action (MOA) of THM in HT29 cell line. For the production of THM-induced transcripts, tonifying herbal medicines water extract (THW) and tonifying herbal medicines ethanol extract (THE) were used.

2024-06-21 | GSE244692 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchC

2024-06-21 | GSE244691 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchB

2024-06-21 | GSE244690 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchA

2024-06-21 | GSE244689 | GEO

Digital transformation of herbal medicine: Conversion to biological entity data using tonifying herbal medicine-induced transcriptome sequencing_HT29_batchE

2024-06-21 | GSE244693 | GEO

Comparative study of the mechanism of natural compounds with similar structures using docking and transcriptome data

Project description:This study aimed to compare the mechanisms of action (MOA) of similar natural compounds and observed the changes when they are mixed and used.

2023-04-03 | GSE228524 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data