Cargando…
On homology modeling of the M(2) muscarinic acetylcholine receptor subtype
Twelve homology models of the human M(2) 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 struct...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717152/ https://www.ncbi.nlm.nih.gov/pubmed/23812908 http://dx.doi.org/10.1007/s10822-013-9660-8 |
_version_ | 1782277670020579328 |
---|---|
author | Jakubík, Jan Randáková, Alena Doležal, Vladimír |
author_facet | Jakubík, Jan Randáková, Alena Doležal, Vladimír |
author_sort | Jakubík, Jan |
collection | PubMed |
description | Twelve homology models of the human M(2) 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 M(3) 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. |
format | Online Article Text |
id | pubmed-3717152 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-37171522013-07-23 On homology modeling of the M(2) muscarinic acetylcholine receptor subtype Jakubík, Jan Randáková, Alena Doležal, Vladimír J Comput Aided Mol Des Article Twelve homology models of the human M(2) 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 M(3) 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. Springer Netherlands 2013-06-28 2013 /pmc/articles/PMC3717152/ /pubmed/23812908 http://dx.doi.org/10.1007/s10822-013-9660-8 Text en © The Author(s) 2013 https://creativecommons.org/licenses/by/2.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Article Jakubík, Jan Randáková, Alena Doležal, Vladimír On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title | On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title_full | On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title_fullStr | On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title_full_unstemmed | On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title_short | On homology modeling of the M(2) muscarinic acetylcholine receptor subtype |
title_sort | on homology modeling of the m(2) muscarinic acetylcholine receptor subtype |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3717152/ https://www.ncbi.nlm.nih.gov/pubmed/23812908 http://dx.doi.org/10.1007/s10822-013-9660-8 |
work_keys_str_mv | AT jakubikjan onhomologymodelingofthem2muscarinicacetylcholinereceptorsubtype AT randakovaalena onhomologymodelingofthem2muscarinicacetylcholinereceptorsubtype AT dolezalvladimir onhomologymodelingofthem2muscarinicacetylcholinereceptorsubtype |