Evidence map›Paper›PMID 25524420›Full record

ArticleMethods (San Diego, Calif.)2015

High-precision, automated integration of multiple isothermal titration calorimetric thermograms: new features of NITPIC.

Thomas H Scheuermann, Chad A Brautigam

Open access · greenAbstract readComparative Study
In one paragraph

Article in Methods (San Diego, Calif.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed
10.4field-weighted citation impact, top 2% 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

106 citing papers in PubMed, 219 citations in OpenAlex.

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  13. Photoresponsive Slide-Ring Gels Enable Modulation of Sliding Dynamics.Angewandte Chemie (International ed. in English) · 2025
    Article
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  20. Article

46 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

2 authors at 1 institution in 1 country.

Thomas H ScheuermannDepartment of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX 75390-8816, USA.
Chad A BrautigamDepartment of Biophysics, The University of Texas Southwestern Medical Center, Dallas, TX 75390-8816, USA. Electronic address: chad.brautigam@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · US

Funding

The flavin-centric metabolic lifestyle of Treponema pallidumR01AI056305 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI HENDRIXSON, DAVID R · 2003 to 2024
$9.6M
Structure and Function of Mitochondrial Protein KinasesR01DK062306 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CHUANG, DAVID T · 2003 to 2018
$5.4M
MOLECULAR ANALYSIS OF T PALLIDUM MEMBRANE PROTEINSR01AI016692 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI NORGARD, MICHAEL V. · 1986 to 2009
$4.6M
Structure and Function of Mitochondrial Protein KinasesR56DK062306 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI CHUANG, DAVID T · 2008 to 2014
$397k
Howard Hughes Medical InstituteNIAID NIH HHS AI56305NIAID NIH HHS R01 AI016692NIAID NIH HHS R01 AI056305NIDDK NIH HHS DK62306NIDDK NIH HHS R01 DK062306NIDDK NIH HHS R56 DK062306
6 · The paper itself

Abstract

Isothermal titration calorimetry (ITC) has become a standard and widely available tool to measure the thermodynamic parameters of macromolecular associations. Modern applications of the method, including global analysis and drug screening, require the acquisition of multiple sets of data; sometimes these data sets number in the hundreds. Therefore, there is a need for quick, precise, and automated means to process the data, particularly at the first step of data analysis, which is commonly the integration of the raw data to yield an interpretable isotherm. Herein, we describe enhancements to an algorithm that previously has been shown to provide an automated, unbiased, and high-precision means to integrate ITC data. These improvements allow for the speedy and precise serial integration of an unlimited number of ITC data sets, and they have been implemented in the freeware program NITPIC, version 1.1.0. We present a comprehensive comparison of the performance of this software against an older version of NITPIC and a current version of Origin, which is commonly used for integration. The new methods recapitulate the excellent performance of the previous versions of NITPIC while speeding it up substantially, and their precision is significantly better than that of Origin. This new version of NITPIC is therefore well suited to the serial integration of many ITC data sets.

Indexed as

SoftwareCalorimetryElectronic Data ProcessingThermodynamicsAutomated processingIsothermal titration calorimetrySerial integrationSingular value decomposition

Identifiers

PMID25524420
PMCPMC4380771
OpenAlexW2025021056

What OpenQuestion holds

Textmetadata
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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.