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Model morphing and sequence assignment after molecular replacement

A procedure termed ‘morphing’ for improving a model after it has been placed in the crystallographic cell by molecular replacement has recently been developed. Morphing consists of applying a smooth deformation to a model to make it match an electron-density map more closely. Morphing does not chang...

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Autores principales: Terwilliger, Thomas C., Read, Randy J., Adams, Paul D., Brunger, Axel T., Afonine, Pavel V., Hung, Li-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817698/
https://www.ncbi.nlm.nih.gov/pubmed/24189236
http://dx.doi.org/10.1107/S0907444913017770
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author Terwilliger, Thomas C.
Read, Randy J.
Adams, Paul D.
Brunger, Axel T.
Afonine, Pavel V.
Hung, Li-Wei
author_facet Terwilliger, Thomas C.
Read, Randy J.
Adams, Paul D.
Brunger, Axel T.
Afonine, Pavel V.
Hung, Li-Wei
author_sort Terwilliger, Thomas C.
collection PubMed
description A procedure termed ‘morphing’ for improving a model after it has been placed in the crystallographic cell by molecular replacement has recently been developed. Morphing consists of applying a smooth deformation to a model to make it match an electron-density map more closely. Morphing does not change the identities of the residues in the chain, only their coordinates. Consequently, if the true structure differs from the working model by containing different residues, these differences cannot be corrected by morphing. Here, a procedure that helps to address this limitation is described. The goal of the procedure is to obtain a relatively complete model that has accurate main-chain atomic positions and residues that are correctly assigned to the sequence. Residues in a morphed model that do not match the electron-density map are removed. Each segment of the resulting trimmed morphed model is then assigned to the sequence of the molecule using information about the connectivity of the chains from the working model and from connections that can be identified from the electron-density map. The procedure was tested by application to a recently determined structure at a resolution of 3.2 Å and was found to increase the number of correctly identified residues in this structure from the 88 obtained using phenix.resolve sequence assignment alone (Terwilliger, 2003 ▶) to 247 of a possible 359. Additionally, the procedure was tested by application to a series of templates with sequence identities to a target structure ranging between 7 and 36%. The mean fraction of correctly identified residues in these cases was increased from 33% using phenix.resolve sequence assignment to 47% using the current procedure. The procedure is simple to apply and is available in the Phenix software package.
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spelling pubmed-38176982013-11-06 Model morphing and sequence assignment after molecular replacement Terwilliger, Thomas C. Read, Randy J. Adams, Paul D. Brunger, Axel T. Afonine, Pavel V. Hung, Li-Wei Acta Crystallogr D Biol Crystallogr Research Papers A procedure termed ‘morphing’ for improving a model after it has been placed in the crystallographic cell by molecular replacement has recently been developed. Morphing consists of applying a smooth deformation to a model to make it match an electron-density map more closely. Morphing does not change the identities of the residues in the chain, only their coordinates. Consequently, if the true structure differs from the working model by containing different residues, these differences cannot be corrected by morphing. Here, a procedure that helps to address this limitation is described. The goal of the procedure is to obtain a relatively complete model that has accurate main-chain atomic positions and residues that are correctly assigned to the sequence. Residues in a morphed model that do not match the electron-density map are removed. Each segment of the resulting trimmed morphed model is then assigned to the sequence of the molecule using information about the connectivity of the chains from the working model and from connections that can be identified from the electron-density map. The procedure was tested by application to a recently determined structure at a resolution of 3.2 Å and was found to increase the number of correctly identified residues in this structure from the 88 obtained using phenix.resolve sequence assignment alone (Terwilliger, 2003 ▶) to 247 of a possible 359. Additionally, the procedure was tested by application to a series of templates with sequence identities to a target structure ranging between 7 and 36%. The mean fraction of correctly identified residues in these cases was increased from 33% using phenix.resolve sequence assignment to 47% using the current procedure. The procedure is simple to apply and is available in the Phenix software package. International Union of Crystallography 2013-11-01 2013-10-18 /pmc/articles/PMC3817698/ /pubmed/24189236 http://dx.doi.org/10.1107/S0907444913017770 Text en © Terwilliger et al. 2013 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Terwilliger, Thomas C.
Read, Randy J.
Adams, Paul D.
Brunger, Axel T.
Afonine, Pavel V.
Hung, Li-Wei
Model morphing and sequence assignment after molecular replacement
title Model morphing and sequence assignment after molecular replacement
title_full Model morphing and sequence assignment after molecular replacement
title_fullStr Model morphing and sequence assignment after molecular replacement
title_full_unstemmed Model morphing and sequence assignment after molecular replacement
title_short Model morphing and sequence assignment after molecular replacement
title_sort model morphing and sequence assignment after molecular replacement
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817698/
https://www.ncbi.nlm.nih.gov/pubmed/24189236
http://dx.doi.org/10.1107/S0907444913017770
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