-
Je něco špatně v tomto záznamu ?
On homology modeling of the M₂ muscarinic acetylcholine receptor subtype
J. Jakubík, A. Randáková, V. Doležal,
Jazyk angličtina Země Nizozemsko
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
ProQuest Central
od 1997-01-01 do Před 1 rokem
Medline Complete (EBSCOhost)
od 2003-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 1997-01-01 do Před 1 rokem
- MeSH
- konformace proteinů * MeSH
- krystalografie rentgenová * MeSH
- lidé MeSH
- molekulární modely MeSH
- receptor muskarinový M2 chemie MeSH
- sekvence aminokyselin MeSH
- sekvenční homologie aminokyselin MeSH
- simulace molekulového dockingu MeSH
- vazebná místa MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Twelve homology models of the human M2 muscarinic receptor using different sets of templates have been designed using the Prime program or the modeller program and compared to crystallographic structure (PDB:3UON). The best models were obtained using single template of the closest published structure, the M3 muscarinic receptor (PDB:4DAJ). Adding more (structurally distant) templates led to worse models. Data document a key role of the template in homology modeling. The models differ substantially. The quality checks built into the programs do not correlate with the RMSDs to the crystallographic structure and cannot be used to select the best model. Re-docking of the antagonists present in crystallographic structure and relative binding energy estimation by calculating MM/GBSA in Prime and the binding energy function in YASARA suggested it could be possible to evaluate the quality of the orthosteric binding site based on the prediction of relative binding energies. Although estimation of relative binding energies distinguishes between relatively good and bad models it does not indicate the best one. On the other hand, visual inspection of the models for known features and knowledge-based analysis of the intramolecular interactions allows an experimenter to select overall best models manually.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc14050948
- 003
- CZ-PrNML
- 005
- 20140414095006.0
- 007
- ta
- 008
- 140401s2013 ne f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1007/s10822-013-9660-8 $2 doi
- 035 __
- $a (PubMed)23812908
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a ne
- 100 1_
- $a Jakubík, Jan
- 245 10
- $a On homology modeling of the M₂ muscarinic acetylcholine receptor subtype / $c J. Jakubík, A. Randáková, V. Doležal,
- 520 9_
- $a Twelve homology models of the human M2 muscarinic receptor using different sets of templates have been designed using the Prime program or the modeller program and compared to crystallographic structure (PDB:3UON). The best models were obtained using single template of the closest published structure, the M3 muscarinic receptor (PDB:4DAJ). Adding more (structurally distant) templates led to worse models. Data document a key role of the template in homology modeling. The models differ substantially. The quality checks built into the programs do not correlate with the RMSDs to the crystallographic structure and cannot be used to select the best model. Re-docking of the antagonists present in crystallographic structure and relative binding energy estimation by calculating MM/GBSA in Prime and the binding energy function in YASARA suggested it could be possible to evaluate the quality of the orthosteric binding site based on the prediction of relative binding energies. Although estimation of relative binding energies distinguishes between relatively good and bad models it does not indicate the best one. On the other hand, visual inspection of the models for known features and knowledge-based analysis of the intramolecular interactions allows an experimenter to select overall best models manually.
- 650 _2
- $a sekvence aminokyselin $7 D000595
- 650 _2
- $a vazebná místa $7 D001665
- 650 12
- $a krystalografie rentgenová $7 D018360
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a molekulární modely $7 D008958
- 650 _2
- $a simulace molekulového dockingu $7 D062105
- 650 12
- $a konformace proteinů $7 D011487
- 650 _2
- $a receptor muskarinový M2 $x chemie $7 D043585
- 650 _2
- $a sekvenční homologie aminokyselin $7 D017386
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a práce podpořená grantem $7 D013485
- 700 1_
- $a Randáková, Alena $u -
- 700 1_
- $a Doležal, Vladimír $u -
- 773 0_
- $w MED00007803 $t Journal of computer-aided molecular design $x 1573-4951 $g Roč. 27, č. 6 (2013), s. 525-38
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/23812908 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20140401 $b ABA008
- 991 __
- $a 20140414095101 $b ABA008
- 999 __
- $a ok $b bmc $g 1018084 $s 849528
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2013 $b 27 $c 6 $d 525-38 $i 1573-4951 $m Journal of computer-aided molecular design $n J Comput Aided Mol Des $x MED00007803
- LZP __
- $a Pubmed-20140401