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Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics
BACKGROUND: Dramatic progress has recently been made in cryo-electron microscopy technologies, which now make possible the reconstruction of a growing number of biomolecular structures to near-atomic resolution. However, the need persists for fitting and refinement approaches that address those case...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139150/ https://www.ncbi.nlm.nih.gov/pubmed/30219048 http://dx.doi.org/10.1186/s12900-018-0089-0 |
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author | Kovacs, Julio A. Galkin, Vitold E. Wriggers, Willy |
author_facet | Kovacs, Julio A. Galkin, Vitold E. Wriggers, Willy |
author_sort | Kovacs, Julio A. |
collection | PubMed |
description | BACKGROUND: Dramatic progress has recently been made in cryo-electron microscopy technologies, which now make possible the reconstruction of a growing number of biomolecular structures to near-atomic resolution. However, the need persists for fitting and refinement approaches that address those cases that require modeling assistance. METHODS: In this paper, we describe algorithms to optimize the performance of such medium-resolution refinement methods. These algorithms aim to automatically optimize the parameters that define the density shape of the flexibly fitted model, as well as the time-dependent damper cutoff distance. Atomic distance constraints can be prescribed for cases where extra containment of parts of the structure is helpful, such as in regions where the density map is poorly defined. Also, we propose a simple stopping criterion that estimates the probable onset of overfitting during the simulation. RESULTS: The new set of algorithms produce more accurate fitting and refinement results, and yield a faster rate of convergence of the trajectory toward the fitted conformation. The latter is also more reliable due to the overfitting warning provided to the user. CONCLUSIONS: The algorithms described here were implemented in the new Damped-Dynamics Flexible Fitting simulation tool “DDforge” in the Situs package. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12900-018-0089-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6139150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61391502018-09-20 Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics Kovacs, Julio A. Galkin, Vitold E. Wriggers, Willy BMC Struct Biol Methodology Article BACKGROUND: Dramatic progress has recently been made in cryo-electron microscopy technologies, which now make possible the reconstruction of a growing number of biomolecular structures to near-atomic resolution. However, the need persists for fitting and refinement approaches that address those cases that require modeling assistance. METHODS: In this paper, we describe algorithms to optimize the performance of such medium-resolution refinement methods. These algorithms aim to automatically optimize the parameters that define the density shape of the flexibly fitted model, as well as the time-dependent damper cutoff distance. Atomic distance constraints can be prescribed for cases where extra containment of parts of the structure is helpful, such as in regions where the density map is poorly defined. Also, we propose a simple stopping criterion that estimates the probable onset of overfitting during the simulation. RESULTS: The new set of algorithms produce more accurate fitting and refinement results, and yield a faster rate of convergence of the trajectory toward the fitted conformation. The latter is also more reliable due to the overfitting warning provided to the user. CONCLUSIONS: The algorithms described here were implemented in the new Damped-Dynamics Flexible Fitting simulation tool “DDforge” in the Situs package. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12900-018-0089-0) contains supplementary material, which is available to authorized users. BioMed Central 2018-09-15 /pmc/articles/PMC6139150/ /pubmed/30219048 http://dx.doi.org/10.1186/s12900-018-0089-0 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Kovacs, Julio A. Galkin, Vitold E. Wriggers, Willy Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title | Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title_full | Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title_fullStr | Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title_full_unstemmed | Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title_short | Accurate flexible refinement of atomic models against medium-resolution cryo-EM maps using damped dynamics |
title_sort | accurate flexible refinement of atomic models against medium-resolution cryo-em maps using damped dynamics |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139150/ https://www.ncbi.nlm.nih.gov/pubmed/30219048 http://dx.doi.org/10.1186/s12900-018-0089-0 |
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