Evidence map›Paper›PMID 30871103›Full record

ReviewInternational journal of molecular sciences2019

Protein Interaction with Charged Macromolecules: From Model Polymers to Unfolded Proteins and Post-Translational Modifications.

Pavel Semenyuk, Vladimir Muronetz

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Development of an HInternational journal of molecular sciences · 2026
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  3. Review
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  13. Effect of Polyphosphorylation on Behavior of Protein Disordered Regions.International journal of molecular sciences · 2021
    Article
  14. Article
  15. Article
  16. 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

2 authors.

Pavel SemenyukBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119234 Moscow, Russia. psemenyuk@belozersky.msu.ru.ORCID 0000-0001-7759-6445
Vladimir MuronetzBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, 119234 Moscow, Russia. vimuronets@belozersky.msu.ru.

Funding

Russian Science Foundation 16-14-10027
6 · The paper itself

Abstract

Interaction of proteins with charged macromolecules is involved in many processes in cells. Firstly, there are many naturally occurred charged polymers such as DNA and RNA, polyphosphates, sulfated glycosaminoglycans, etc., as well as pronouncedly charged proteins such as histones or actin. Electrostatic interactions are also important for "generic" proteins, which are not generally considered as polyanions or polycations. Finally, protein behavior can be altered due to post-translational modifications such as phosphorylation, sulfation, and glycation, which change a local charge of the protein region. Herein we review molecular modeling for the investigation of such interactions, from model polyanions and polycations to unfolded proteins. We will show that electrostatic interactions are ubiquitous, and molecular dynamics simulations provide an outstanding opportunity to look inside binding and reveal the contribution of electrostatic interactions. Since a molecular dynamics simulation is only a model, we will comprehensively consider its relationship with the experimental data.

Indexed as

AnimalsHumansMacromolecular SubstancesMolecular Dynamics SimulationPolyaminesPolyelectrolytesPolymersProtein BindingProtein Processing, Post-TranslationalProteinsStatic ElectricityMacromolecular SubstancesPolyaminesPolyelectrolytesPolymersProteinselectrostatic interactionsglycationmolecular dynamics simulationspolyelectrolytepost-translational modificationprotein‒polyelectrolyte complexsulfation

Identifiers

PMID30871103
PMCPMC6429204

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.