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Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations

Herein, you will find detailed information for the preparation of a coarse-grained array of peptides embedded in a lipid membrane. It contains all the steps to set up and run a molecular dynamic simulation using a coarse-grained approach. We provide analytical tools and scripts for generating a resi...

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Autores principales: Sica, Mauricio P., Kortsarz, Micaela V., Morillas, Angelines A., Smulski, Cristian R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420530/
https://www.ncbi.nlm.nih.gov/pubmed/36042876
http://dx.doi.org/10.1016/j.xpro.2022.101636
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author Sica, Mauricio P.
Kortsarz, Micaela V.
Morillas, Angelines A.
Smulski, Cristian R.
author_facet Sica, Mauricio P.
Kortsarz, Micaela V.
Morillas, Angelines A.
Smulski, Cristian R.
author_sort Sica, Mauricio P.
collection PubMed
description Herein, you will find detailed information for the preparation of a coarse-grained array of peptides embedded in a lipid membrane. It contains all the steps to set up and run a molecular dynamic simulation using a coarse-grained approach. We provide analytical tools and scripts for generating a residue-level contact matrix between multiple peptides, as well as geometric analysis of arrangements between multiple peptides. This protocol was designed to study the organization of transmembrane peptides in an unbiased manner using computational approaches. For complete details on the use and execution of this protocol, please refer to Smulski et al. (2022).
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spelling pubmed-94205302022-08-29 Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations Sica, Mauricio P. Kortsarz, Micaela V. Morillas, Angelines A. Smulski, Cristian R. STAR Protoc Protocol Herein, you will find detailed information for the preparation of a coarse-grained array of peptides embedded in a lipid membrane. It contains all the steps to set up and run a molecular dynamic simulation using a coarse-grained approach. We provide analytical tools and scripts for generating a residue-level contact matrix between multiple peptides, as well as geometric analysis of arrangements between multiple peptides. This protocol was designed to study the organization of transmembrane peptides in an unbiased manner using computational approaches. For complete details on the use and execution of this protocol, please refer to Smulski et al. (2022). Elsevier 2022-08-19 /pmc/articles/PMC9420530/ /pubmed/36042876 http://dx.doi.org/10.1016/j.xpro.2022.101636 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Sica, Mauricio P.
Kortsarz, Micaela V.
Morillas, Angelines A.
Smulski, Cristian R.
Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title_full Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title_fullStr Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title_full_unstemmed Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title_short Protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
title_sort protocol to study the oligomeric organization of single-span transmembrane peptides using molecular dynamics simulations
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420530/
https://www.ncbi.nlm.nih.gov/pubmed/36042876
http://dx.doi.org/10.1016/j.xpro.2022.101636
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