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IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics
Proteomics methodology has expanded to include protein structural analysis, primarily through cross-linking mass spectrometry (XL-MS) and hydrogen–deuterium exchange mass spectrometry (HX-MS). However, while the structural proteomics community has effective tools for primary data analysis, there is...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Biochemistry and Molecular Biology
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452774/ https://www.ncbi.nlm.nih.gov/pubmed/34418567 http://dx.doi.org/10.1016/j.mcpro.2021.100139 |
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author | Ziemianowicz, Daniel S. Saltzberg, Daniel Pells, Troy Crowder, D. Alex Schräder, Christoph Hepburn, Morgan Sali, Andrej Schriemer, David C. |
author_facet | Ziemianowicz, Daniel S. Saltzberg, Daniel Pells, Troy Crowder, D. Alex Schräder, Christoph Hepburn, Morgan Sali, Andrej Schriemer, David C. |
author_sort | Ziemianowicz, Daniel S. |
collection | PubMed |
description | Proteomics methodology has expanded to include protein structural analysis, primarily through cross-linking mass spectrometry (XL-MS) and hydrogen–deuterium exchange mass spectrometry (HX-MS). However, while the structural proteomics community has effective tools for primary data analysis, there is a need for structure modeling pipelines that are accessible to the proteomics specialist. Integrative structural biology requires the aggregation of multiple distinct types of data to generate models that satisfy all inputs. Here, we describe IMProv, an app in the Mass Spec Studio that combines XL-MS data with other structural data, such as cryo-EM densities and crystallographic structures, for integrative structure modeling on high-performance computing platforms. The resource provides an easily deployed bundle that includes the open-source Integrative Modeling Platform program (IMP) and its dependencies. IMProv also provides functionality to adjust cross-link distance restraints according to the underlying dynamics of cross-linked sites, as characterized by HX-MS. A dynamics-driven conditioning of restraint values can improve structure modeling precision, as illustrated by an integrative structure of the five-membered Polycomb Repressive Complex 2. IMProv is extensible to additional types of data. |
format | Online Article Text |
id | pubmed-8452774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-84527742021-09-27 IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics Ziemianowicz, Daniel S. Saltzberg, Daniel Pells, Troy Crowder, D. Alex Schräder, Christoph Hepburn, Morgan Sali, Andrej Schriemer, David C. Mol Cell Proteomics Technological Innovation and Resources Proteomics methodology has expanded to include protein structural analysis, primarily through cross-linking mass spectrometry (XL-MS) and hydrogen–deuterium exchange mass spectrometry (HX-MS). However, while the structural proteomics community has effective tools for primary data analysis, there is a need for structure modeling pipelines that are accessible to the proteomics specialist. Integrative structural biology requires the aggregation of multiple distinct types of data to generate models that satisfy all inputs. Here, we describe IMProv, an app in the Mass Spec Studio that combines XL-MS data with other structural data, such as cryo-EM densities and crystallographic structures, for integrative structure modeling on high-performance computing platforms. The resource provides an easily deployed bundle that includes the open-source Integrative Modeling Platform program (IMP) and its dependencies. IMProv also provides functionality to adjust cross-link distance restraints according to the underlying dynamics of cross-linked sites, as characterized by HX-MS. A dynamics-driven conditioning of restraint values can improve structure modeling precision, as illustrated by an integrative structure of the five-membered Polycomb Repressive Complex 2. IMProv is extensible to additional types of data. American Society for Biochemistry and Molecular Biology 2021-08-19 /pmc/articles/PMC8452774/ /pubmed/34418567 http://dx.doi.org/10.1016/j.mcpro.2021.100139 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technological Innovation and Resources Ziemianowicz, Daniel S. Saltzberg, Daniel Pells, Troy Crowder, D. Alex Schräder, Christoph Hepburn, Morgan Sali, Andrej Schriemer, David C. IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title | IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title_full | IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title_fullStr | IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title_full_unstemmed | IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title_short | IMProv: A Resource for Cross-link-Driven Structure Modeling that Accommodates Protein Dynamics |
title_sort | improv: a resource for cross-link-driven structure modeling that accommodates protein dynamics |
topic | Technological Innovation and Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8452774/ https://www.ncbi.nlm.nih.gov/pubmed/34418567 http://dx.doi.org/10.1016/j.mcpro.2021.100139 |
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