Evidence map›Paper›PMID 28636825›Full record

ArticleJournal of chemical theory and computation2017

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

Mee Y Shelley, Myvizhi Esai Selvan, Jun Zhao, Volodymyr Babin, Chenyi Liao, Jianing Li, John C Shelley

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
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  10. Application of millisecond time-resolved solid state NMR to the kinetics and mechanism of melittin self-assembly.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mee Y ShelleySchrödinger, Inc. , 101 SW Main Street, Suite 1300, Portland, Oregon 97204, United States.
Myvizhi Esai SelvanSchrödinger, Inc. , 120 W. 45th Street, 17th Floor, New York, New York 10036, United States.
Jun ZhaoCancer and Inflammation Program, National Cancer Institute , Frederick, Maryland 21702, United States.
Volodymyr BabinSchrödinger, Inc. , 101 SW Main Street, Suite 1300, Portland, Oregon 97204, United States.
Chenyi LiaoDepartment of Chemistry, University of Vermont , Burlington, Vermont 05405, United States.
Jianing LiDepartment of Chemistry, University of Vermont , Burlington, Vermont 05405, United States.ORCID http://orcid.org/0000-0002-0143-8894
John C ShelleySchrödinger, Inc. , 101 SW Main Street, Suite 1300, Portland, Oregon 97204, United States.ORCID http://orcid.org/0000-0001-6223-4804

Funding

TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
Commercial Software for Modeling of G Protein-Coupled ReceptorsR44GM080726 · NIGMS · SCHRODINGER, INC. · PI FARID, RAMY · 2010 to 2012
$1.1M
NIGMS NIH HHS P41 GM103712NIGMS NIH HHS R44 GM080726
6 · The paper itself

Abstract

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.

Indexed as

Protein AggregatesAnimalsBeesComputer SimulationMelittenModels, MolecularSaltsTemperatureThermodynamicsWaterMelittenProtein AggregatesSaltsWater

Identifiers

PMID28636825
PMCPMC5551643

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.