MolMeDB
MolMeDB catalogs interactions between small molecules and biological membranes to support comparative analysis of partitioning, penetration, and positioning relevant to pharmacokinetics and drug design.
Key Features:
- Dataset scope: Contains data for over 3600 distinct compound–membrane interactions.
- Interaction types: Records partitioning, penetration, and positioning of molecules in membranes.
- Data sources: Aggregates experimental and theoretical data extracted from peer-reviewed scientific literature.
- Computational methods: Incorporates in-house high-throughput COSMOmic calculations.
- Chemical identifiers: Includes compound representations such as SMILES notation.
- Membrane coverage: Encompasses multiple membrane compositions and compound physicochemical variability.
- Method comparison: Enables critical comparison of different methodologies, including octanol–water partitioning benchmarks.
Scientific Applications:
- Pharmacokinetics and pharmacodynamics: Supports analysis of membrane effects on drug absorption, distribution, and action.
- Drug design and ADME studies: Informs assessment of membrane permeation and partitioning for lead optimization.
- Method benchmarking and validation: Provides reference data for validating and comparing experimental and computational approaches, including COSMOmic-based predictions.
Methodology:
Aggregates experimental and theoretical data from peer-reviewed literature and performs in-house high-throughput COSMOmic calculations.
Topics
Collections
Details
- License:
- CC-BY-4.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Programming Languages:
- PHP, JavaScript, Other
- Added:
- 5/24/2019
- Last Updated:
- 9/1/2021
Operations
Publications
Juračka J, Šrejber M, Melíková M, Bazgier V, Berka K. MolMeDB: Molecules on Membranes Database. Unknown Journal. 2018. doi:10.1101/472167.
DOI: 10.1101/472167
Documentation
Citation instructions
http://molmedb.upol.cz/contactDownloads
- Otherhttp://molmedb.upol.cz/compareDownload of selected data in CSV format
Links
Issue tracker
https://github.com/MolMeDB/MolMeDB/issuesRepository
https://github.com/MolMeDB/MolMeDB