Evidence map›Paper›PMID 26052263›Full record

ArticleJournal of chemical theory and computation2015

Physics-Based Potentials for Coarse-Grained Modeling of Protein-DNA Interactions.

Yanping Yin, Adam K Sieradzan, Adam Liwo, Yi He, Harold A Scheraga

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2015. 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
1.2field-weighted citation impact, top 20% of its field
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, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Early Stages of RNA-Mediated Conversion of Human Prions.The journal of physical chemistry. B · 2022
    Article
  4. Article
  5. Article
  6. Bottom-Up Coarse-Grained Modeling of DNA.Frontiers in molecular biosciences · 2021
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. The "sugar" coarse-grained DNA model.Journal of molecular modeling · 2017
    Article
  12. My 65 years in protein chemistry.Quarterly reviews of biophysics · 2015
    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 at 2 institutions in 2 countries.

Yanping Yin
Adam K Sieradzan
Adam Liwo
Yi He
Harold A Scheraga
Cornell University · USUniversity of Gdańsk · PL

Funding

INTERNAL BONDIN IN PROTEINSR01GM014312 · NIGMS · CORNELL UNIVERSITY ITHACA · PI MAISURADZE, GIA, RACKOVSKY, SHALOM R · 1985 to 2021
$9.4M
NIGMS NIH HHS GM-14312NIGMS NIH HHS R01 GM014312
6 · The paper itself

Abstract

Physics-based potentials have been developed for the interactions between proteins and DNA for simulations with the UNRES + NARES-2P force field. The mean-field interactions between a protein and a DNA molecule can be divided into eight categories: (1) nonpolar side chain–DNA base, (2) polar uncharged side chain–DNA base, (3) charged side chain–DNA base, (4) peptide group–phosphate group, (5) peptide group–DNA base, (6) nonpolar side chain–phosphate group, (7) polar uncharged side chain–phosphate group, and (8) charged side chain–phosphate group. Umbrella-sampling molecular dynamics simulations in explicit TIP3P water using the AMBER force field were carried out to determine the potentials of mean force (PMF) for all 105 pairs of interacting components. Approximate analytical expressions for the mean-field interaction energy of each pair of the different kinds of interacting molecules were then fitted to the PMFs to obtain the parameters of the analytical expressions. These analytical expressions can reproduce satisfactorily the PMF curves corresponding to different orientations of the interacting molecules. The results suggest that the physics-based mean-field potentials of amino acid–nucleotide interactions presented here can be used in coarse-grained simulation of protein–DNA interactions.

Indexed as

DNAMolecular Dynamics SimulationPhosphatesProtein FoldingProteinsWaterDNAPhosphatesProteinsWater

Identifiers

PMID26052263
PMCPMC4455907
OpenAlexW2313204146

What OpenQuestion holds

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Read underepoch 390

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.