Evidence map›Paper›PMID 23997693›Full record

ArticleJournal of chemical theory and computation2013

PRIMO: A Transferable Coarse-grained Force Field for Proteins.

Parimal Kar, Srinivasa Murthy Gopal, Yi-Ming Cheng, Alexander Predeus, Michael Feig

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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bottom-up Coarse-Graining: Principles and Perspectives.Journal of chemical theory and computation · 2022
    Review
  9. Review
  10. Computational Models for the Study of Protein Aggregation.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  11. Article
  12. Article
  13. Temperature and Phase Transferable Bottom-up Coarse-Grained Models.Journal of chemical theory and computation · 2020
    Article
  14. Article
  15. Review
  16. Whole-Cell Models and Simulations in Molecular Detail.Annual review of cell and developmental biology · 2019
    Review
  17. Review
  18. Article
  19. Review
  20. Review
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

5 authors.

Parimal KarDepartment of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI 48824, USA.
Srinivasa Murthy Gopal
Yi-Ming Cheng
Alexander Predeus
Michael Feig

Funding

Protein structure refinement through effective sampling and scoringR01GM084953 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2008 to 2017
$2.5M
Multiscale modeling of supramolecular protein-DNA assembliesR01GM092949 · NIGMS · MICHIGAN STATE UNIVERSITY · PI FEIG, MICHAEL · 2010 to 2013
$1.1M
NIGMS NIH HHS R01 GM084953NIGMS NIH HHS R01 GM092949
6 · The paper itself

Abstract

We describe here the PRIMO (PRotein Intermediate Model) force field, a physics-based fully transferable additive coarse-grained potential energy function that is compatible with an all-atom force field for multi-scale simulations. The energy function consists of standard molecular dynamics energy terms plus a hydrogen-bonding potential term and is mainly parameterized based on the CHARMM22/CMAP force field in a bottom-up fashion. The solvent is treated implicitly via the generalized Born model. The bonded interactions are either harmonic or distance-based spline interpolated potentials. These potentials are defined on the basis of all-atom molecular dynamics (MD) simulations of dipeptides with the CHARMM22/CMAP force field. The non-bonded parameters are tuned by matching conformational free energies of diverse set of conformations with that of CHARMM all-atom results. PRIMO is designed to provide a correct description of conformational distribution of the backbone (ϕ/ψ) and side chains (χ

Indexed as

Coarse-grainforce fieldimplicit solventmolecular dynamicsreplica exchange

Identifiers

PMID23997693
PMCPMC3755638

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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.