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The haploid and the heterozygous essential S.cerevisiae deletion pools were grown in the presence of compounds that we found to be synergistic with fluconazole. We also treated the deletion pools with combinations of those drugs and fluconazole to interrogate the mechanism of action of the drug inte...
ORGANISM(S): Saccharomyces cerevisiae 
Microarrays allow us to monitor the change in transcription of every gene in the genome in response to a change in cellular state. We use cDNA microarrays to measure the response of E. coli to 13 different antibiotics and 3 synergistic combinations. Hierarchichal clustering reveals 4 distinct clas...
ORGANISM(S): Escherichia coli 
A network-based trans-omics approach for predicting synergistic drug combinations
This dataset comprises metabolomic profiling data of serum and gut metabolites from 6 female Wistar rats and 42 female spontaneously hypertensive rats (SHR). Six Wistar rats were assigned to the normal control group (Normal), and 42 SHR rats were randomly divided into seven groups with six rats in e...
2026-05-18 | MTBLS14513 | MetaboLights
Transcriptional response to standard AML drugs identifies synergistic combinations
We examined the mode-of-action of synergistic drug combinations by microarray analysis. We focused on the drug combination of capsaicin and mitoxantrone, which were the top predicted drug pair identified by SyndrumNET. Combination therapy can offer greater efficacy on medical treatments. However, th...
ORGANISM(S): Homo sapiens 
2024-05-06 | GSE254052 | GEO
Mitigation of Doxorubicin Cardiotoxicity with Synergistic miRNA Combinations Identified Using Combinatorial Genetics en Masse (CombiGEM)
Microarrays allow us to monitor the change in transcription of every gene in the genome in response to a change in cellular state. We use cDNA microarrays to measure the response of E. coli to 13 different antibiotics and 3 synergistic combinations. Hierarchichal clustering reveals 4 distinct classe...
ORGANISM(S): Escherichia coli 
2008-02-12 | GSE10440 | GEO
Systems modelling of the EGFR-PYK2-c-Met interaction network predicted and prioritized synergistic drug combinations for Triple-negative breast cancer
2024-09-02 | BIOMD0000000826 | BioModels
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