Approaches to ab initio molecular replacement of α-helical transmembrane proteins
| dc.contributor.author | Thomas, Jens M. H. | |
| dc.contributor.author | Simkovic, Felix | |
| dc.contributor.author | Keegan, Ronan | |
| dc.contributor.author | Mayans, Olga | |
| dc.contributor.author | Zhang, Chengxin | |
| dc.contributor.author | Zhang, Yang | |
| dc.contributor.author | Rigden, Daniel J. | |
| dc.date.accessioned | 2018-02-13T12:23:39Z | |
| dc.date.available | 2018-02-13T12:23:39Z | |
| dc.date.issued | 2017-12-01 | eng |
| dc.description.abstract | α-Helical transmembrane proteins are a ubiquitous and important class of proteins, but present difficulties for crystallographic structure solution. Here, the effectiveness of the AMPLE molecular replacement pipeline in solving α-helical transmembrane-protein structures is assessed using a small library of eight ideal helices, as well as search models derived from ab initio models generated both with and without evolutionary contact information. The ideal helices prove to be surprisingly effective at solving higher resolution structures, but ab initio-derived search models are able to solve structures that could not be solved with the ideal helices. The addition of evolutionary contact information results in a marked improvement in the modelling and makes additional solutions possible. | eng |
| dc.description.version | published | eng |
| dc.identifier.doi | 10.1107/S2059798317016436 | eng |
| dc.identifier.pmid | 29199978 | eng |
| dc.identifier.ppn | 499792246 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/41301 | |
| dc.language.iso | eng | eng |
| dc.rights | terms-of-use | |
| dc.rights.uri | https://rightsstatements.org/page/InC/1.0/ | |
| dc.subject | transmembrane proteins; ab initio phasing; ab initio modelling; predicted contacts | eng |
| dc.subject.ddc | 570 | eng |
| dc.title | Approaches to ab initio molecular replacement of α-helical transmembrane proteins | eng |
| dc.type | JOURNAL_ARTICLE | eng |
| dspace.entity.type | Publication | |
| kops.citation.bibtex | @article{Thomas2017-12-01Appro-41301,
year={2017},
doi={10.1107/S2059798317016436},
title={Approaches to ab initio molecular replacement of α-helical transmembrane proteins},
number={Pt 12},
volume={73},
issn={2059-7983},
journal={Acta crystallographica Section D : Structural biology},
pages={985--996},
author={Thomas, Jens M. H. and Simkovic, Felix and Keegan, Ronan and Mayans, Olga and Zhang, Chengxin and Zhang, Yang and Rigden, Daniel J.}
} | |
| kops.citation.iso690 | THOMAS, Jens M. H., Felix SIMKOVIC, Ronan KEEGAN, Olga MAYANS, Chengxin ZHANG, Yang ZHANG, Daniel J. RIGDEN, 2017. Approaches to ab initio molecular replacement of α-helical transmembrane proteins. In: Acta crystallographica Section D : Structural biology. 2017, 73(Pt 12), pp. 985-996. ISSN 2059-7983. eISSN 2059-7983. Available under: doi: 10.1107/S2059798317016436 | deu |
| kops.citation.iso690 | THOMAS, Jens M. H., Felix SIMKOVIC, Ronan KEEGAN, Olga MAYANS, Chengxin ZHANG, Yang ZHANG, Daniel J. RIGDEN, 2017. Approaches to ab initio molecular replacement of α-helical transmembrane proteins. In: Acta crystallographica Section D : Structural biology. 2017, 73(Pt 12), pp. 985-996. ISSN 2059-7983. eISSN 2059-7983. Available under: doi: 10.1107/S2059798317016436 | eng |
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<dcterms:abstract xml:lang="eng">α-Helical transmembrane proteins are a ubiquitous and important class of proteins, but present difficulties for crystallographic structure solution. Here, the effectiveness of the AMPLE molecular replacement pipeline in solving α-helical transmembrane-protein structures is assessed using a small library of eight ideal helices, as well as search models derived from ab initio models generated both with and without evolutionary contact information. The ideal helices prove to be surprisingly effective at solving higher resolution structures, but ab initio-derived search models are able to solve structures that could not be solved with the ideal helices. The addition of evolutionary contact information results in a marked improvement in the modelling and makes additional solutions possible.</dcterms:abstract>
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| kops.sourcefield | Acta crystallographica Section D : Structural biology. 2017, <b>73</b>(Pt 12), pp. 985-996. ISSN 2059-7983. eISSN 2059-7983. Available under: doi: 10.1107/S2059798317016436 | deu |
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| source.bibliographicInfo.fromPage | 985 | eng |
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| source.bibliographicInfo.toPage | 996 | eng |
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| source.identifier.issn | 2059-7983 | eng |
| source.periodicalTitle | Acta crystallographica Section D : Structural biology | eng |
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