Evidence map›Paper›PMID 25024008›Full record

ArticleJournal of molecular modeling2014

A unified coarse-grained model of biological macromolecules based on mean-field multipole-multipole interactions.

Adam Liwo, Maciej Baranowski, Cezary Czaplewski, Ewa Gołaś, Yi He, Dawid Jagieła, Paweł Krupa, Maciej Maciejczyk, Mariusz Makowski, Magdalena A Mozolewska and 8 more

Abstract read
In one paragraph

Article in Journal of molecular modeling, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Improving Conformational Ensembles of Folded Proteins in Go̅Martini.Journal of chemical theory and computation · 2026
    Article
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  7. Review
  8. Decoding Solubility Signatures from Amyloid Monomer Energy Landscapes.Journal of chemical theory and computation · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

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

18 authors.

Adam LiwoFaculty of Chemistry, University of Gdańsk, ul. Wita Stwosza 63, 80-308, Gdańsk, Poland, adam@sun1.chem.univ.gda.pl.
Maciej Baranowski
Cezary Czaplewski
Ewa Gołaś
Yi He
Dawid Jagieła
Paweł Krupa
Maciej Maciejczyk
Mariusz Makowski
Magdalena A Mozolewska
Andrei Niadzvedtski
Stanisław Ołdziej
Harold A Scheraga
Adam K Sieradzan
Rafał Slusarz
Tomasz Wirecki
Yanping Yin
Bartłomiej Zaborowski

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

A unified coarse-grained model of three major classes of biological molecules--proteins, nucleic acids, and polysaccharides--has been developed. It is based on the observations that the repeated units of biopolymers (peptide groups, nucleic acid bases, sugar rings) are highly polar and their charge distributions can be represented crudely as point multipoles. The model is an extension of the united residue (UNRES) coarse-grained model of proteins developed previously in our laboratory. The respective force fields are defined as the potentials of mean force of biomacromolecules immersed in water, where all degrees of freedom not considered in the model have been averaged out. Reducing the representation to one center per polar interaction site leads to the representation of average site-site interactions as mean-field dipole-dipole interactions. Further expansion of the potentials of mean force of biopolymer chains into Kubo's cluster-cumulant series leads to the appearance of mean-field dipole-dipole interactions, averaged in the context of local interactions within a biopolymer unit. These mean-field interactions account for the formation of regular structures encountered in biomacromolecules, e.g., α-helices and β-sheets in proteins, double helices in nucleic acids, and helicoidally packed structures in polysaccharides, which enables us to use a greatly reduced number of interacting sites without sacrificing the ability to reproduce the correct architecture. This reduction results in an extension of the simulation timescale by more than four orders of magnitude compared to the all-atom representation. Examples of the performance of the model are presented.

Indexed as

Molecular Dynamics SimulationMacromolecular SubstancesNucleic AcidsPeptidesPolysaccharidesProtein BindingProteinsProtein Structure, SecondaryMacromolecular SubstancesNucleic AcidsPeptidesPolysaccharidesProteins

Identifiers

PMID25024008
PMCPMC4139597

What OpenQuestion holds

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Registered trials

None linked

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.