-
Je něco špatně v tomto záznamu ?
MolMeDB: Molecules on Membranes Database
J. Juračka, M. Šrejber, M. Melíková, V. Bazgier, K. Berka,
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2009
Free Medical Journals
od 2009
PubMed Central
od 2009
Europe PubMed Central
od 2009
Medline Complete (EBSCOhost)
od 2009-01-01
Oxford Journals Open Access Collection
od 2009
ROAD: Directory of Open Access Scholarly Resources
od 2009
PubMed
31250015
DOI
10.1093/database/baz078
Knihovny.cz E-zdroje
- MeSH
- chemické databáze * MeSH
- lidé MeSH
- membrány MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
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.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc20006207
- 003
- CZ-PrNML
- 005
- 20211207134328.0
- 007
- ta
- 008
- 200511s2019 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1093/database/baz078 $2 doi
- 035 __
- $a (PubMed)31250015
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Juračka, Jakub $u Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Tř. 17, listopadu 12, 771 46 Olomouc, Czech Republic.
- 245 10
- $a MolMeDB: Molecules on Membranes Database / $c J. Juračka, M. Šrejber, M. Melíková, V. Bazgier, K. Berka,
- 520 9_
- $a 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.
- 650 12
- $a chemické databáze $7 D062126
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a membrány $7 D008566
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Šrejber, Martin $u Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Tř. 17, listopadu 12, 771 46 Olomouc, Czech Republic.
- 700 1_
- $a Melíková, Michaela $u Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Tř. 17, listopadu 12, 771 46 Olomouc, Czech Republic.
- 700 1_
- $a Bazgier, Václav, $u Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Tř. 17, listopadu 12, 771 46 Olomouc, Czech Republic. $d 1982- $7 ola2015878480
- 700 1_
- $a Berka, Karel $u Regional Centre of Advanced Technologies and Materials, Department of Physical Chemistry, Faculty of Science, Palacký University Olomouc, Tř. 17, listopadu 12, 771 46 Olomouc, Czech Republic.
- 773 0_
- $w MED00170507 $t Database : the journal of biological databases and curation $x 1758-0463 $g Roč. 2019, č. - (2019)
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/31250015 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20200511 $b ABA008
- 991 __
- $a 20211207134326 $b ABA008
- 999 __
- $a ok $b bmc $g 1525065 $s 1096263
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2019 $b 2019 $c - $e 20190101 $i 1758-0463 $m Database $n Database $x MED00170507
- LZP __
- $a Pubmed-20200511