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MetabolomicsAspartate potentiates tobramycin against multidrug-resistant Edwardsiella tarda through enhancing proton motive force and membrane permeability

The antibiotic susceptibility/resistance of bacteria is influenced by their metabolic states. In tobramycin-resistant Edwardsiella tarda (LTB4-RToB), a dynamic metabolic state is observed, characterized by a general reduction in most metabolites as the minimum inhibitory concentration (MIC) incre...

2025-07-31 | MTBLS12725 | MetaboLights
MetabolomicsIntegrated Analyses of the Gut Microbiota, Intestinal Permeability and Serum Metabolome Phenotype in Rats with Alcohol Withdrawal Syndrome
The etiology of alcohol dependence is not completely understood. Increasing evidence reveals that gut microbiota dysbiosis is associated with certain psychiatric disorders, including alcoholism, through the 'microbiota-gut-brain' axis. The aims were to evaluate the effect of alcohol abuse on the gut...
2021-07-30 | MTBLS2688 | MetaboLights
ModelsMenichetti2019 - Drug−Membrane Permeability across Chemical Space
Using Coarse Grained (CG) models, where several atoms are aggregated into a single bead, the authors obtain a set of 500,000 compounds with their simulated permeability across a single-component DOPC lipid bilayer. With this approach, the authors are able to cover a large and representative portion ...
2024-08-07 | MODEL2408070001 | BioModels
Machine Learning Model FAIR-AIML Ersilia 
ModelsSun2017 - predictive and interpretable models for PAMPA permeability 7
Parallel Artificial Membrane Permeability is an in vitro surrogate to determine the permeability of drugs across cellular membranes. PAMPA at pH 7.4 was experimentally determined in a dataset of 5,473 unique compounds by the NIH-NCATS. 50% of the dataset was used to train a classifier (SVM) to predi...
2024-04-23 | MODEL2404220001 | BioModels
Machine Learning Model FAIR-AIML Ersilia 
ModelsMerget2013 - Mycobacterium tuberculosis permeability prediction tool
MycPermCheck predicts potential to permeate the Mycobacterium tuberculosis cell membrane based on physicochemical properties. Due to the lack of reliable experimental datapoints, the authors defined the training set using molecules that are active against M.tb. Model Type: Predictive machine learni...
2024-05-21 | MODEL2405210004 | BioModels
Machine Learning Model FAIR-AIML Ersilia 
UnknownInsights into the Influence of Membrane Permeability and Structure on Osmotically-Driven Membrane Processes.
Not available
S-EPMC7926744 | biostudies-literature
ModelsChi2019 - In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach
The authors provide a dataset of 200 small molecules and their experimentally measured permeability in a PAMPA assay. Using this data, we have trained a model that predicts the logarithm of the effective permeability coefficient. Model Type: Predictive machine learning model. Model Relevance: Predi...
2024-06-03 | MODEL2406030003 | BioModels
Machine Learning Model FAIR-AIML Ersilia 
TranscriptomicsRNA-Seq profiling of S. Cerevisiae WT BY4741 cells and MOH1-knockout mutants of BY4741 cells (moh1∆) after growth on YPD-Agar for 40 hours
The Yippee-like (YPEL) proteins are a conserved eukaryotic gene family implicated in proliferation, senescence, and stress adaptation. In humans, five paralogs (YPEL1–YPEL5) are widely expressed and encode proteins with high sequence similarity, but the molecular basis of their functions remains poo...
ORGANISM(S): Saccharomyces cerevisiae S288c 
2026-06-15 | E-MTAB-16090 | biostudies-arrayexpress
UnknownOvercoming the permeability-selectivity challenge in water purification using two-dimensional cobalt-functionalized vermiculite membrane.
Not available
S-EPMC10776859 | biostudies-literature
UnknownThe Permeability and Selectivity of the Polyamide Reverse Osmosis Membrane were Significantly Enhanced by PhSiCl3.
Not available
S-EPMC7922360 | biostudies-literature
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