pH-Dependent Stability and Cooperativity of Protein Unfolding from Differential Scanning Calorimetry Using FitFoldData

Protein folding is highly sensitive to environmental conditions such as pH, which can influence internal hydrogen bonding and interactions with the solvent. In this study, we use our FitFoldData online tool to analyze published differential scanning calorimetry (DSC) data on the unfolding of four proteins measured across different pH values. For each dataset, we examine the fitted thermodynamic parameters, including the intrapeptide and peptide–solvent hydrogen-bonding energies (h and hps) and the Zimm–Bragg cooperativity parameter (σ). In the analyzed datasets, under both acidic and alkaline conditions, h and hps range from 2 to 8.5 kJ/mol, while σ is on the order of 10−3 to 10−2. In addition, the two-state cooperativity parameter k2 is estimated from the DSC curves as the enthalpy ratio. By considering the size-dependent relative fluctuation, 1/N, we introduce a “two-state range” around the value k2=1 for each protein with a given number N of peptide units. We find that pH can shift proteins into or out of the two-state range of k2 values.

Authors

Institutions

Publication Details

Journal
Biomolecules
Published
2026-09-20
DOI
https://doi.org/10.3390/biom16091368
Primary Topic
Protein Structure and Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

pH-Dependent Stability and Cooperativity of Protein Unfolding from Differential Scanning Calorimetry Using FitFoldData

Artem V. Badasyan, Vladimir Nikolaevich Uversky, Knarik Yeritsyan
Biomolecules
Protein Structure and Dynamics
article

pH-Dependent Stability and Cooperativity of Protein Unfolding from Differential Scanning Calorimetry Using FitFoldData

Artem V. Badasyan, Vladimir Nikolaevich Uversky, Knarik Yeritsyan
article en

Abstract

Protein folding is highly sensitive to environmental conditions such as pH, which can influence internal hydrogen bonding and interactions with the solvent. In this study, we use our FitFoldData online tool to analyze published differential scanning calorimetry (DSC) data on the unfolding of four proteins measured across different pH values. For each dataset, we examine the fitted thermodynamic parameters, including the intrapeptide and peptide–solvent hydrogen-bonding energies (h and hps) and the Zimm–Bragg cooperativity parameter (σ). In the analyzed datasets, under both acidic and alkaline conditions, h and hps range from 2 to 8.5 kJ/mol, while σ is on the order of 10−3 to 10−2. In addition, the two-state cooperativity parameter k2 is estimated from the DSC curves as the enthalpy ratio. By considering the size-dependent relative fluctuation, 1/N, we introduce a “two-state range” around the value k2=1 for each protein with a given number N of peptide units. We find that pH can shift proteins into or out of the two-state range of k2 values.

BiomoleculesVol. 16(9)
University of Nova Gorica (SI), University of South Florida (US), USF Health Byrd Alzheimer's Institute (US)
Life in Land
Openalex Percentile: Top 18%
Protein Structure and Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.