Cargando…

Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics

Metadynamics electron microscopy metaInference (MEMMI) is an integrative structural biology method that enables a rapid and accurate characterization of protein structural dynamics at the atomic level and the error in the cryo‐EM experimental data, even in cases where conformations are separated by...

Descripción completa

Detalles Bibliográficos
Autor principal: Brotzakis, Z. Faidon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315759/
https://www.ncbi.nlm.nih.gov/pubmed/36562694
http://dx.doi.org/10.1002/2211-5463.13542
_version_ 1785067567148171264
author Brotzakis, Z. Faidon
author_facet Brotzakis, Z. Faidon
author_sort Brotzakis, Z. Faidon
collection PubMed
description Metadynamics electron microscopy metaInference (MEMMI) is an integrative structural biology method that enables a rapid and accurate characterization of protein structural dynamics at the atomic level and the error in the cryo‐EM experimental data, even in cases where conformations are separated by high energy barriers. It achieves this by incorporating (a) cryo‐electron microscopy electron density maps with (b) metadynamic‐enhanced‐sampling molecular dynamics. Here, I showcase the setup and analysis protocol of MEMMI, used to discover the atomistic structural ensemble and error in the cryo‐EM electron density map of the fuzzy coat of IAPP, a fibril implicated in type II diabetes.
format Online
Article
Text
id pubmed-10315759
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-103157592023-07-04 Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics Brotzakis, Z. Faidon FEBS Open Bio Research Protocol Metadynamics electron microscopy metaInference (MEMMI) is an integrative structural biology method that enables a rapid and accurate characterization of protein structural dynamics at the atomic level and the error in the cryo‐EM experimental data, even in cases where conformations are separated by high energy barriers. It achieves this by incorporating (a) cryo‐electron microscopy electron density maps with (b) metadynamic‐enhanced‐sampling molecular dynamics. Here, I showcase the setup and analysis protocol of MEMMI, used to discover the atomistic structural ensemble and error in the cryo‐EM electron density map of the fuzzy coat of IAPP, a fibril implicated in type II diabetes. John Wiley and Sons Inc. 2023-01-09 /pmc/articles/PMC10315759/ /pubmed/36562694 http://dx.doi.org/10.1002/2211-5463.13542 Text en © 2022 The Author. FEBS Open Bio published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Protocol
Brotzakis, Z. Faidon
Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title_full Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title_fullStr Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title_full_unstemmed Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title_short Guide for determination of protein structural ensembles by combining cryo‐EM data with metadynamics
title_sort guide for determination of protein structural ensembles by combining cryo‐em data with metadynamics
topic Research Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10315759/
https://www.ncbi.nlm.nih.gov/pubmed/36562694
http://dx.doi.org/10.1002/2211-5463.13542
work_keys_str_mv AT brotzakiszfaidon guidefordeterminationofproteinstructuralensemblesbycombiningcryoemdatawithmetadynamics