Understanding these interactions is key to evaluating molecular activity, bioavailability, and pharmacokinetics. Ligand-membrane interactions can be described through partitioning, permeability, and positioning, which define how compounds cross or embed within lipid bilayers. At MolMeDB, these data are collected from experimental studies, molecular simulations, and computational prediction methods, offering an integrated resource for researchers.
Not only membranes play an essential role, but also membrane proteins. Membrane proteins - such as transporters, ion channels, and receptors - actively control uptake, efflux, and cellular signalling. Together with passive diffusion, these protein-mediated processes shape the behavior of molecules in living systems. Understanding both pathways is crucial for predicting the efficacy, safety, and selectivity of drugs. MolMeDB combines these aspects by integrating data on small molecules, membranes and membrane proteins, providing a comprehensive resource for exploring molecular behavior in biological contexts.

molecules
behaviour

membranes

methods

interactions

proteins


molecules
behaviour

membranes

methods

proteins

interactions

Browse and download the data through a modern, user-friendly interface — no login required.
Easily integrate the data into your applications using a clean and well-documented REST API.
Query the data directly with SPARQL — a powerful option for advanced and flexible access.














Each registered user will gain access to a personal lab, where they can calculate permeability values for their own sets of molecules. The data can be kept private for a limited period (up to one year).
How does it work?
Collect SMILES of one or more molecules.
Select one of prepared membrane and in-house calcaulation method.
Molecule permeability will be computed using our sources.
Your lab will store the results, available for download anytime.
After a selected period of time, your results will become publicly accessible in MolMeDB.