Evidence map›Paper›PMID 24223529›Full record

ArticleJournal of chemical theory and computation2013

Toward optimized potential functions for protein-protein interactions in aqueous solutions: osmotic second virial coefficient calculations using the MARTINI coarse-grained force field.

Austin C Stark, Casey T Andrews, Adrian H Elcock

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

59 citing papers in PubMed.

  1. A PI(3,5)PNature communications · 2026
    Article
  2. A Coarse-Grained MARTINI Model for Mucins.Journal of chemical theory and computation · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Refined Protein-Sugar Interactions in the Martini Force Field.Journal of chemical theory and computation · 2024
    Article
  9. Intrinsically disordered region amplifies membrane remodeling to augment selective ER-phagy.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
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  15. Review
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  17. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Austin C StarkDepartment of Biochemistry, University of Iowa, Iowa City, IA 52242.
Casey T Andrews
Adrian H Elcock

Funding

Molecular Simulations of Folding & Association in Physiological EnvironmentsR01GM087290 · NIGMS · UNIVERSITY OF IOWA · PI ELCOCK, ADRIAN HAMILTON · 2009 to 2017
$1.6M
NIGMS NIH HHS R01 GM087290
6 · The paper itself

Abstract

Coarse-grained (CG) simulation methods are now widely used to model the structure and dynamics of large biomolecular systems. One important issue for using such methods - especially with regard to using them to model, for example, intracellular environments - is to demonstrate that they can reproduce experimental data on the thermodynamics of protein-protein interactions in aqueous solutions. To examine this issue, we describe here simulations performed using the popular coarse-grained MARTINI force field, aimed at computing the thermodynamics of lysozyme and chymotrypsinogen self-interactions in aqueous solution. Using molecular dynamics simulations to compute potentials of mean force between a pair of protein molecules, we show that the original parameterization of the MARTINI force field is likely to significantly overestimate the strength of protein-protein interactions to the extent that the computed osmotic second virial coefficients are orders of magnitude more negative than experimental estimates. We then show that a simple down-scaling of the van der Waals parameters that describe the interactions between protein pseudo-atoms can bring the simulated thermodynamics into much closer agreement with experiment. Overall, the work shows that it is feasible to test explicit-solvent CG force fields directly against thermodynamic data for proteins in aqueous solutions, and highlights the potential usefulness of osmotic second virial coefficient measurements for fully parameterizing such force fields.

Identifiers

PMID24223529
PMCPMC3819042

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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.