Evidence map›Paper›PMID 28402876›Full record

ArticleBiophysical journal2017

Mechanistic Models Fit to Variable Temperature Calorimetric Data Provide Insights into Cooperativity.

Elihu C Ihms, Ian R Kleckner, Paul Gollnick, Mark P Foster

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Thermodynamics of Indirect Readout in Cre-bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. 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

4 authors at 2 institutions in 1 country.

Elihu C IhmsDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio.
Ian R KlecknerDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio.
Paul GollnickDepartment of Biological Sciences, State University of New York at Buffalo, Buffalo, New York.
Mark P FosterDepartment of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio. Electronic address: foster.281@osu.edu.
The Ohio State University · USUniversity at Buffalo, State University of New York · US

Funding

Structural and Dynamics in Allosteric Gene RegulationR01GM077234 · NIGMS · OHIO STATE UNIVERSITY · PI FOSTER, MARK P. · 2007 to 2010
$1.2M
NIGMS NIH HHS R01 GM077234
6 · The paper itself

Abstract

Allostery pervades macromolecular function and drives cooperative binding of ligands to macromolecules. To decipher the mechanisms of cooperative ligand binding it is necessary to define at a microscopic level the structural and thermodynamic consequences of binding of each ligand to its allosterically coupled site(s). However, dynamic sampling of alternative conformations (microstates) in allosteric molecules complicates interpretation of both structural and thermodynamic data. Isothermal titration calorimetry has the potential to directly quantify the thermodynamics of allosteric interactions, but usually falls short of enabling mechanistic insight. This is because 1) its measurements reflect the sum of overlapping caloric processes involving binding-linked population shifts within and between microstates, and 2) data are generally fit with phenomenological binding polynomials that are underdetermined. Nevertheless, temperature-dependent binding data have the potential to resolve overlapping thermodynamic processes, while mechanistically constrained models enable hypothesis testing and identification of informative parameters. We globally fit temperature-dependent isothermal titration calorimetry data for binding of 11 tryptophan ligands to the homo-undecameric trp RNA-binding Attenuation Protein from Bacillus stearothermophilus using nearest-neighbor statistical thermodynamic models. This approach allowed us to distinguish alternative nearest-neighbor interaction models, and quantifies the thermodynamic contribution of neighboring ligands to individual binding sites. We also perform conventional Hill equation modeling and illustrate how comparatively limited it is in quantitative or mechanistic value. This work illustrates the potential of mechanistically constrained global fitting of binding data to yield the microscopic thermodynamic parameters essential for deciphering mechanisms of cooperativity in a wide range of ligand-regulated homo-oligomeric assemblies.

Indexed as

CalorimetryModels, MolecularTemperatureAllosteric RegulationBacterial ProteinsBinding SitesBiosensing TechniquesRNA-Binding ProteinsTranscription FactorsTryptophanBacterial ProteinsMtrB protein, BacteriaRNA-Binding ProteinsTranscription FactorsTryptophan

Identifiers

PMID28402876
PMCPMC5390055
OpenAlexW2607400569

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.