ArticleDatabase : the journal of biological databases and curation2019
MolMeDB: Molecules on Membranes Database.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-Analysis of Permeability Literature Data Shows Possibilities and Limitations of Popular Methods.Molecular pharmaceutics · 2025Pooled it
- Quantifying Small-Molecule Association with Lipid Membranes: Methods, Models, and Limitations.Membranes · 2026Review
- MolMeDB RDF: transforming a relational database about biological membranes to the RDF format to increase interoperability.Journal of cheminformatics · 2026Article
- pyBiodatafuse: extending interoperability of data using modular queries across biomedical resources.Bioinformatics (Oxford, England) · 2026Article
- Ru-Based NSAIDs as Potential Anticancer Therapeutics.Molecules (Basel, Switzerland) · 2026Article
- Synergistic optimizations of efficacy and membrane permeability of IRAK4 inhibitors: identifying new lead compounds for anti-inflammatory therapeutics.Journal of enzyme inhibition and medicinal chemistry · 2025Article
- A quantitative analysis of ligand binding at the protein-lipid bilayer interface.Communications chemistry · 2025Article
- Data Generation for Machine Learning Interatomic Potentials and Beyond.Chemical reviews · 2024Review
- Improving the Accuracy of Permeability Data to Gain Predictive Power: Assessing Sources of Variability in Assays Using Cell Monolayers.Membranes · 2024Review
- A comparison of approaches to accessing existing biological and chemical relational databases via SPARQL.Journal of cheminformatics · 2023Review
- Permeation of a Homologous Series of NBD-Labeled Fatty Amines through Lipid Bilayers: A Molecular Dynamics Study.Membranes · 2023Article
- Computational Prodrug Design Methodology for Liposome Formulability Enhancement of Small-Molecule APIs.Molecular pharmaceutics · 2023Article
- Calculation of Permeability Coefficients from Solute Equilibration Dynamics: An Assessment of Various Methods.Membranes · 2022Article
- Mechanistic Understanding from Molecular Dynamics in Pharmaceutical Research 2: Lipid Membrane in Drug Design.Pharmaceuticals (Basel, Switzerland) · 2021Review
- Functional Group Distributions, Partition Coefficients, and Resistance Factors in Lipid Bilayers Using Site Identification by Ligand Competitive Saturation.Journal of chemical theory and computation · 2021Article
- The Secret Lives of Fluorescent Membrane Probes as Revealed by Molecular Dynamics Simulations.Molecules (Basel, Switzerland) · 2020Review
- Synthesis andJournal of tropical medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological membranes act as barriers or reservoirs for many compounds within the human body. As such, they play an important role in pharmacokinetics and pharmacodynamics of drugs and other molecular species. Until now, most membrane/drug interactions have been inferred from simple partitioning between octanol and water phases. However, the observed variability in membrane composition and among compounds themselves stretches beyond such simplification as there are multiple drug-membrane interactions. Numerous experimental and theoretical approaches are used to determine the molecule-membrane interactions with variable accuracy, but there is no open resource for their critical comparison. For this reason, we have built Molecules on Membranes Database (MolMeDB), which gathers data about over 3600 compound-membrane interactions including partitioning, penetration and positioning. The data have been collected from scientific articles published in peer-reviewed journals and complemented by in-house calculations from high-throughput COSMOmic approach to set up a baseline for further comparison. The data in MolMeDB are fully searchable and browsable by means of name, SMILES, membrane, method or dataset and we offer the collected data openly for further reuse and we are open to further additions. MolMeDB can be a powerful tool that could help researchers better understand the role of membranes and to compare individual approaches used for the study of molecule/membrane interactions.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.