Evidence map›Paper›PMID 27055097›Full record

ArticleNature protocols2016

Integration and global analysis of isothermal titration calorimetry data for studying macromolecular interactions.

Chad A Brautigam, Huaying Zhao, Carolyn Vargas, Sandro Keller, Peter Schuck

Abstract read
In one paragraph

Article in Nature protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Article
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  5. Structural and functional insights into the Rcs phosphorelay.bioRxiv : the preprint server for biology · 2026
    Article
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  7. Review
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  15. Photoresponsive Slide-Ring Gels Enable Modulation of Sliding Dynamics.Angewandte Chemie (International ed. in English) · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

72 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

5 authors.

Chad A BrautigamDepartment of Biophysics, The University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Huaying ZhaoDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.
Carolyn VargasMolecular Biophysics, University of Kaiserslautern, Kaiserslautern, Germany.
Sandro KellerMolecular Biophysics, University of Kaiserslautern, Kaiserslautern, Germany.
Peter SchuckDynamics of Macromolecular Assembly Section, Laboratory of Cellular Imaging and Macromolecular Biophysics, National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, Maryland, USA.ORCID http://orcid.org/0000-0002-8859-6966

Funding

Multi-Method Approaches for the Study of Complex Protein InteractionsZIAEB000050 · NIBIB · NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING · PI SCHUCK, PETER · 2009 to 2025
$1.7M
Intramural NIH HHS ZIA EB000050
6 · The paper itself

Abstract

Isothermal titration calorimetry (ITC) is a powerful and widely used method to measure the energetics of macromolecular interactions by recording a thermogram of differential heating power during a titration. However, traditional ITC analysis is limited by stochastic thermogram noise and by the limited information content of a single titration experiment. Here we present a protocol for bias-free thermogram integration based on automated shape analysis of the injection peaks, followed by combination of isotherms from different calorimetric titration experiments into a global analysis, statistical analysis of binding parameters and graphical presentation of the results. This is performed using the integrated public-domain software packages NITPIC, SEDPHAT and GUSSI. The recently developed low-noise thermogram integration approach and global analysis allow for more precise parameter estimates and more reliable quantification of multisite and multicomponent cooperative and competitive interactions. Titration experiments typically take 1-2.5 h each, and global analysis usually takes 10-20 min.

Indexed as

Signal Processing, Computer-AssistedSoftwareCalorimetryData Interpretation, StatisticalMacromolecular SubstancesStochastic ProcessesMacromolecular Substances

Identifiers

PMID27055097
PMCPMC7466939

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.