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A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution

[Image: see text] We introduce a new mixed resolution, all-atom/coarse-grained approach (AACG), for modeling peptides in aqueous solution and apply it to characterizing the aggregation of melittin. All of the atoms in peptidic components are represented, while a single site is used for each water mo...

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Autores principales: Shelley, Mee Y., Selvan, Myvizhi Esai, Zhao, Jun, Babin, Volodymyr, Liao, Chenyi, Li, Jianing, Shelley, John C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2017
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551643/
https://www.ncbi.nlm.nih.gov/pubmed/28636825
http://dx.doi.org/10.1021/acs.jctc.7b00071
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author Shelley, Mee Y.
Selvan, Myvizhi Esai
Zhao, Jun
Babin, Volodymyr
Liao, Chenyi
Li, Jianing
Shelley, John C.
author_facet Shelley, Mee Y.
Selvan, Myvizhi Esai
Zhao, Jun
Babin, Volodymyr
Liao, Chenyi
Li, Jianing
Shelley, John C.
author_sort Shelley, Mee Y.
collection PubMed
description [Image: see text] We introduce a new mixed resolution, all-atom/coarse-grained approach (AACG), for modeling peptides in aqueous solution and apply it to characterizing the aggregation of melittin. All of the atoms in peptidic components are represented, while a single site is used for each water molecule. With the full flexibility of the peptide retained, our AACG method achieves speedups by a factor of 3–4 for CPU time reduction and another factor of roughly 7 for diffusion. An Ewald treatment permits the inclusion of long-range electrostatic interactions. These characteristics fit well with the requirements for studying peptide association and aggregation, where the system sizes and time scales require considerable computational resources with all-atom models. In particular, AACG is well suited for biologics since changes in peptide shape and long-range electrostatics may play an important role. The application of AACG to melittin, a 26-residue peptide with a well-known propensity to aggregate in solution, serves as an initial demonstration of this technology for studying peptide aggregation. We observed the formation of melittin aggregates during our simulations and characterized the time-evolution of aggregate size distribution, buried surface areas, and residue contacts. Key interactions including π-cation and π-stacking involving TRP19 were also examined. Our AACG simulations demonstrated a clear salt effect and a moderate temperature effect on aggregation and support the molten globule model of melittin aggregates. As a showcase, this work illustrates the useful role for AACG in investigations of peptide aggregation and its potential to guide formulation and design of biologics.
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spelling pubmed-55516432018-06-21 A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution Shelley, Mee Y. Selvan, Myvizhi Esai Zhao, Jun Babin, Volodymyr Liao, Chenyi Li, Jianing Shelley, John C. J Chem Theory Comput [Image: see text] We introduce a new mixed resolution, all-atom/coarse-grained approach (AACG), for modeling peptides in aqueous solution and apply it to characterizing the aggregation of melittin. All of the atoms in peptidic components are represented, while a single site is used for each water molecule. With the full flexibility of the peptide retained, our AACG method achieves speedups by a factor of 3–4 for CPU time reduction and another factor of roughly 7 for diffusion. An Ewald treatment permits the inclusion of long-range electrostatic interactions. These characteristics fit well with the requirements for studying peptide association and aggregation, where the system sizes and time scales require considerable computational resources with all-atom models. In particular, AACG is well suited for biologics since changes in peptide shape and long-range electrostatics may play an important role. The application of AACG to melittin, a 26-residue peptide with a well-known propensity to aggregate in solution, serves as an initial demonstration of this technology for studying peptide aggregation. We observed the formation of melittin aggregates during our simulations and characterized the time-evolution of aggregate size distribution, buried surface areas, and residue contacts. Key interactions including π-cation and π-stacking involving TRP19 were also examined. Our AACG simulations demonstrated a clear salt effect and a moderate temperature effect on aggregation and support the molten globule model of melittin aggregates. As a showcase, this work illustrates the useful role for AACG in investigations of peptide aggregation and its potential to guide formulation and design of biologics. American Chemical Society 2017-06-21 2017-08-08 /pmc/articles/PMC5551643/ /pubmed/28636825 http://dx.doi.org/10.1021/acs.jctc.7b00071 Text en Copyright © 2017 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Shelley, Mee Y.
Selvan, Myvizhi Esai
Zhao, Jun
Babin, Volodymyr
Liao, Chenyi
Li, Jianing
Shelley, John C.
A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title_full A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title_fullStr A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title_full_unstemmed A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title_short A New Mixed All-Atom/Coarse-Grained Model: Application to Melittin Aggregation in Aqueous Solution
title_sort new mixed all-atom/coarse-grained model: application to melittin aggregation in aqueous solution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5551643/
https://www.ncbi.nlm.nih.gov/pubmed/28636825
http://dx.doi.org/10.1021/acs.jctc.7b00071
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