MolMeDB: Molecules on Membranes Database
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F19%3A73596497" target="_blank" >RIV/61989592:15310/19:73596497 - isvavai.cz</a>
Result on the web
<a href="https://academic.oup.com/database/article/doi/10.1093/database/baz078/5523873" target="_blank" >https://academic.oup.com/database/article/doi/10.1093/database/baz078/5523873</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1093/database/baz078" target="_blank" >10.1093/database/baz078</a>
Alternative languages
Result language
angličtina
Original language name
MolMeDB: Molecules on Membranes Database
Original language description
Biological membranes act as barriers or reservoirs for many compounds within the human body. As such, they play an important role in pharmacokinetics and pharma-codynamics 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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10403 - Physical chemistry
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Database-The Journal of Biological Databases and Curation
ISSN
1758-0463
e-ISSN
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Volume of the periodical
2019
Issue of the periodical within the volume
JUN
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
"baz078-1"-"baz078-9"
UT code for WoS article
000474635700001
EID of the result in the Scopus database
2-s2.0-85068974719