Evidence map›Paper›PMID 12414712›Full record

ArticleBiophysical journal2002

Numerical study of the entropy loss of dimerization and the folding thermodynamics of the GCN4 leucine zipper.

Jorge Viñals, Andrzej Kolinski, Jeffrey Skolnick

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In one paragraph

Article in Biophysical journal, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
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

3 authors at 2 institutions in 2 countries.

Jorge ViñalsLaboratory of Computational Genomics, Donald Danforth Plant Science Center, St. Louis, MO 63132, USA. jvinals@danforthcenter.org
Andrzej Kolinski
Jeffrey Skolnick
Donald Danforth Plant Science Center · USUniversity of Warsaw · PL

Funding

Lattice models of protein foldingF33GM064150 · NIGMS · DONALD DANFORTH PLANT SCIENCE CENTER · PI VINALS, JORGE · 2001 to 2001
$49k
NIGMS NIH HHS GM 64150-01
6 · The paper itself

Abstract

A lattice-based model of a protein and the Monte Carlo simulation method are used to calculate the entropy loss of dimerization of the GCN4 leucine zipper. In the representation used, a protein is a sequence of interaction centers arranged on a cubic lattice, with effective interaction potentials that are both of physical and statistical nature. The Monte Carlo simulation method is then used to sample the partition functions of both the monomer and dimer forms as a function of temperature. A method is described to estimate the entropy loss upon dimerization, a quantity that enters the free energy difference between monomer and dimer, and the corresponding dimerization reaction constant. As expected, but contrary to previous numerical studies, we find that the entropy loss of dimerization is a strong function of energy (or temperature), except in the limit of large energies in which the motion of the two dimer chains becomes largely uncorrelated. At the monomer-dimer transition temperature we find that the entropy loss of dimerization is approximately five times smaller than the value that would result from ideal gas statistics, a result that is qualitatively consistent with a recent experimental determination of the entropy loss of dimerization of a synthetic peptide that also forms a two-stranded alpha-helical coiled coil.

Indexed as

DimerizationBiophysical PhenomenaBiophysicsDatabases as TopicDNA-Binding ProteinsEntropyHot TemperatureLeucine ZippersModels, TheoreticalMonte Carlo MethodProtein FoldingProtein KinasesSaccharomyces cerevisiae ProteinsTemperatureThermodynamicsDNA-Binding ProteinsProtein KinasesSaccharomyces cerevisiae Proteins

Identifiers

PMID12414712
PMCPMC1302364
OpenAlexW2131146196

What OpenQuestion holds

Textmetadata
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.