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PubMed1990

Thermodynamic extent of counterion release upon binding oligolysines to single-stranded nucleic acids.

A major contribution to the binding free energy associated with most protein-nucleic acid complexes is the increase in entropy due to counterion release from the nucleic acid that results from electrostatic interactions. To examine this quantitatively, we have measured the thermodynamic extent of counterion release that results from the interaction between single-stranded homopolynucleotides and a series of oligolysines, possessing net charges z = 2-6, 8, and 10. This was accomplished by measuring the salt dependence of the intrinsic equilibrium binding constants--i.e., (delta log Kobs/delta log[K+])--over the range from 6 mM to 0.5 M potassium acetate. These data provide a rigorous test of linear polyelectrolyte theories that have been used to interpret the effects of changes in bulk salt concentration on protein-DNA binding equilibria, since single-stranded nucleic acids have a lower axial charge density than duplex DNA. Upon binding to poly(U), the thermodynamic extent of counterion release per oligolysine charge, z, is 0.71 +/- 0.03, which is significantly less than unity and less than that measured upon binding duplex DNA. These results are most simply interpreted using the limiting law predictions of counterion condensation and cylindrical Poisson-Boltzmann theories, even at the high salt concentrations used in our experiments. Accurate estimates of the thermodynamic extent of counterion binding and release for model systems such as these facilitate our understanding of the energetics of protein-nucleic acid interactions. These data indicate that for simple oligovalent cations, the number of ionic interactions formed in a complex with a linear nucleic acid can be accurately estimated from a measure of the salt dependence of the equilibrium binding constant, if the thermodynamic extent of ion release is known.

Kinetics↗

PubMed1991

Prediction of the thermodynamics of protein unfolding: the helix-coil transition of poly(L-alanine).

The method given earlier for predicting the thermodynamics of protein unfolding from the x-ray structure of a protein is applied here to the poly(L-alanine) helix. First, the fitting parameters derived earlier from a data base of 10 proteins were used to predict the unfolding thermodynamics of 4 other proteins. The agreement between the observed and predicted values is comparable to that found for the 10 proteins studied initially. Next, the temperature dependences of the Gibbs energy and enthalpy changes for unfolding of bacteriophage T4 lysozyme were predicted and compared with data in the literature. The predicted and observed temperature dependences are similar and the predicted results indicate that cold denaturation should be observed at low temperatures, as observed recently for a T4 lysozyme mutant. The fitting parameters derived from thermodynamic data for protein unfolding and for hydration of model compounds were used to predict the unfolding thermodynamics of the poly(L-alanine) helix. The results predict that helix formation is enthalpy-driven, and the predicted enthalpy change for unfolding (0.86 kcal per mol per residue) is close to the value found in a recent calorimetric study of a 50-residue alanine-rich helix.

Kinetics↗

PubMed1997

Directionality principles in thermodynamics and evolution.

Directionality in populations of replicating organisms can be parametrized in terms of a statistical concept: evolutionary entropy. This parameter, a measure of the variability in the age of reproducing individuals in a population, is isometric with the macroscopic variable body size. Evolutionary trends in entropy due to mutation and natural selection fall into patterns modulated by ecological and demographic constraints, which are delineated as follows: (i) density-dependent conditions (a unidirectional increase in evolutionary entropy), and (ii) density-independent conditions, (a) slow exponential growth (an increase in entropy); (b) rapid exponential growth, low degree of iteroparity (a decrease in entropy); and (c) rapid exponential growth, high degree of iteroparity (random, nondirectional change in entropy). Directionality in aggregates of inanimate matter can be parametrized in terms of the statistical concept, thermodynamic entropy, a measure of disorder. Directional trends in entropy in aggregates of matter fall into patterns determined by the nature of the adiabatic constraints, which are characterized as follows: (i) irreversible processes (an increase in thermodynamic entropy) and (ii) reversible processes (a constant value for entropy). This article analyzes the relation between the concepts that underlie the directionality principles in evolutionary biology and physical systems. For models of cellular populations, an analytic relation is derived between generation time, the average length of the cell cycle, and temperature. This correspondence between generation time, an evolutionary parameter, and temperature, a thermodynamic variable, is exploited to show that the increase in evolutionary entropy that characterizes population processes under density-dependent conditions represents a nonequilibrium analogue of the second law of thermodynamics.

Animals↗

PubMed1998

A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics.

A unified view of polymer, dumbbell, and oligonucleotide nearest-neighbor (NN) thermodynamics is presented. DNA NN DeltaG degrees 37 parameters from seven laboratories are presented in the same format so that careful comparisons can be made. The seven studies used data from natural polymers, synthetic polymers, oligonucleotide dumbbells, and oligonucleotide duplexes to derive NN parameters; used different methods of data analysis; used different salt concentrations; and presented the NN thermodynamics in different formats. As a result of these differences, there has been much confusion regarding the NN thermodynamics of DNA polymers and oligomers. Herein I show that six of the studies are actually in remarkable agreement with one another and explanations are provided in cases where discrepancies remain. Further, a single set of parameters, derived from 108 oligonucleotide duplexes, adequately describes polymer and oligomer thermodynamics. Empirical salt dependencies are also derived for oligonucleotides and polymers.

DNA↗

PubMed1999

A more unified picture for the thermodynamics of nucleic acid duplex melting: a characterization by calorimetric and volumetric techniques.

We use a combination of calorimetric and volumetric techniques to detect and to characterize the thermodynamic changes that accompany helix-to-coil transitions for five polymeric nucleic acid duplexes. Our calorimetric measurements reveal that melting of the duplexes is accompanied by positive changes in heat capacity (DeltaCP) of similar magnitude, with an average DeltaCP value of 64.6 +/- 21.4 cal deg-1 mol-1. When this heat capacity value is used to compare significantly different transition enthalpies (DeltaHo) at a common reference temperature, Tref, we find DeltaHTref for duplex melting to be far less dependent on duplex type, base composition, or base sequence than previously believed on the basis of the conventional assumption of a near-zero value for DeltaCP. Similarly, our densimetric and acoustic measurements reveal that, at a given temperature, all the AT- and AU-containing duplexes studied here melt with nearly the same volume and compressibility changes. In the aggregate, our results, in conjunction with literature data, suggest a more unified picture for the thermodynamics of nucleic acid duplex melting. Specifically, when compared at a common temperature, the apparent large differences present in the literature for the transition enthalpies of different duplexes become much more compressed, and the melting of all-AT- and all-AU-containing duplexes exhibits similar volume and compressibility changes despite differences in sequence and conformation. Thus, insofar as thermodynamic properties are concerned, when comparing duplexes, the temperature under consideration is as important as, if not more important than, the duplex type, the base composition, or the base sequence. This general behavior has significant implications for our basic understanding of the forces that stabilize nucleic acid duplexes. This behavior also is of practical significance in connection with the use of thermodynamic databases for designing probes and for assessing the affinity and specificity associated with hybridization-based protocols used in a wide range of sequencing, diagnostic, and therapeutic applications.

Calorimetry, Differential Scanning↗

PubMed2004

On evolutionary conservation of thermodynamic coupling in proteins.

The inherent complexity of thermodynamic coupling in proteins presents a major challenge in understanding and engineering protein function. Recent work has argued that the study of proteins can be simplified by the use of correlated mutations in the evolutionary record to locate a small subset of thermodynamically coupled residues that participate in functionally important, evolutionarily conserved energetic pathways. To test this hypothesis, we examined the predictions of correlated mutation algorithms for a number of proteins for which coupling between residues has been determined by analysis of double mutant cycles. We find that correlated mutation algorithms can find residue pairs that are physically close and that physically close residue pairs tend to be thermodynamically coupled. We find little evidence, however, for the hypothesis that thermodynamic coupling is limited to the subset of evolutionarily constrained residue positions.

Algorithms↗

PubMed1990

The thermodynamics of bipolarity: a bifurcation model of bipolar illness and bipolar character and its psychotherapeutic applications.

Two models dominate current formulations of bipolar illness: the homeostatic model implicit in Freud's psychodynamics and most neuroamine deficit/excess theories; and the oscillatory model of exaggerated biological rhythms. The homeostatic model is based on the closed systems approach of classic thermodynamics, while the oscillatory model requires the open systems approach of modern thermodynamics. Here we present a thermodynamic model of bipolarity that includes both homeostatic and oscillatory features and adds the most important feature of open systems thermodynamics: the creation of novel structures in bifurcation processes. According to the proposed model, bipolarity is the result of exaggerated biological energy that augments homeostatic, oscillatory and creative psychological processes. Only low-energy closed systems tend to rest ("point attractor") and entropic disorder. Open processes containing and exchanging energy fluctuate between opposite states ("periodic attractors"); they are characteristic of most physiological rhythms and are exaggerated in bipolar subjects. At higher energies, their strong fluctuations destroy pre-existing patterns and structures, produce turbulence ("chaotic attractors"), which sudden switches between opposite states, and create new and more complex structures. Likewise, high-energy bipolars develop high spontaneity, great fluctuations between opposite moods, internal and interpersonal chaos, and enhanced creativity (personal, artistic, professional) as well as psychopathology (personality deviations, psychotic delusions). Offered here is a theoretical explanation of the dual--creative and destructive--nature of bipolarity in terms of the new enantiodromic concept of entropy generalized by process theory. Clinically, this article offers an integrative model of bipolarity that accounts for many clinical features and contributes to a definition of the bipolar personality.

Adult↗

PubMed1987

The thermodynamics of drug-DNA interactions: ethidium bromide and propidium iodide.

We report the first calorimetrically-derived characterization of the thermodynamics of ethidium bromide (EB) and propidium iodide (PI) binding to a series of nucleic acid host duplexes. Our spectroscopic and calorimetric measurements yield the following results: 1) At low salt (16mM Na+) and 25 degrees C. PI binds more strongly than EB to a given host duplex. The magnitude of this PI preference depends only marginally on base sequence, with AT base pairs showing a greater PI preference than GC base pairs. 2) The enhanced binding of PI relative to EB at low salt and 25 degrees C reflects a more favorable entropic driving force for PI binding. 3) The PI binding preference diminishes at higher salt concentrations (216mM). In other words, the binding preference is electrostatic in origin. 4) The salt dependence of the binding constants (delta lnKb/delta ln[Na+]) reveal that PI binds as a dication while EB binds as a monocation. 5) PI and EB both exhibit impressive enthalpy-entropy compensations when they bind to the deoxy homopolymers poly dA.poly dT and poly dA.poly dU. We have observed a similar enthalpy-entropy compensation for netropsin binding to the poly dA.poly dT homopolymer duplex. We therefore conclude that the compensation phenomenon is an intrinsic property of the host duplex rather than reflecting a property of the binding ligand. 6) When either PI or EB bind to the corresponding ribo homopolymer (poly rA.poy rU) we do not observe the enthalpy-entropy compensation that characterizes the binding to the deoxy homopolymer. 7) EB and PI both bind more strongly to poly d(AT).poly d(AT) than to poly d(AU).poly d(AU). Specifically, the absence of the thymine methyl group in poly d(AU).poly d(AU) reduces the binding constant of both drugs by a factor of four. This reduction in binding is due to a less favorable entropy change. In this paper we present and discuss possible molecular origins for our observed thermodynamic and extra-thermodynamic data. In particular, we evoke solvent effects involving both the drugs and the host duplexes when we propose molecular interpretations which are consistent with our thermodynamic data.

Calorimetry, Differential Scanning↗

PubMed2004

Thermodynamics of protein-ligand interactions: history, presence, and future aspects.

The understanding of molecular recognition processes of small ligands and biological macromolecules requires a complete characterization of the binding energetics and correlation of thermodynamic data with interacting structures involved. A quantitative description of the forces that govern molecular associations requires determination of changes of all thermodynamic parameters, including free energy of binding (deltaG), enthalpy (deltaH), and entropy (deltaS) of binding and the heat capacity change (deltaCp). A close insight into the binding process is of significant and practical interest, since it provides the fundamental know-how for development of structure-based molecular design-strategies. The only direct method to measure the heat change during complex formation at constant temperature is provided by isothermal titration calorimetry (ITC). With this method one binding partner is titrated into a solution containing the interaction partner, thereby generating or absorbing heat. This heat is the direct observable that can be quantified by the calorimeter. The use of ITC has been limited due to the lack of sensitivity, but recent developments in instrument design permit to measure heat effects generated by nanomol (typically 10-100) amounts of reactants. ITC has emerged as the primary tool for characterizing interactions in terms of thermodynamic parameters. Because heat changes occur in almost all chemical and biochemical processes, ITC can be used for numerous applications, e.g., binding studies of antibody-antigen, protein-peptide, protein-protein, enzyme-inhibitor or enzyme-substrate, carbohydrate-protein, DNA-protein (and many more) interactions as well as enzyme kinetics. Under appropriate conditions data analysis from a single experiment yields deltaH, K(B), the stoichiometry (n), deltaG and deltaS of binding. Moreover, ITC experiments performed at different temperatures yield the heat capacity change (deltaCp). The informational content of thermodynamic data is large, and it has been shown that it plays an important role in the elucidation of binding mechanisms and, through the link to structural data, also in rational drug design. In this review we will present a comprehensive overview to ITC by giving some historical background to calorimetry, outline some critical experimental and data analysis aspects, discuss the latest developments, and give three recent examples of studies published with respect to macromolecule-ligand interactions that have utilized ITC technology.

Animals↗

PubMed2005

Thermodynamic properties of DNA sequences: characteristic values for the human genome.

MOTIVATION: Central to many molecular biology techniques as ubiquitous as PCR and Southern blotting is the design of oligonucleotide (oligo) probes and/or primers possessing specific thermodynamic properties. Here, we use validated theoretical methods to generate distributions of predicted thermodynamic properties for DNA oligos of various lengths. These distributions facilitate immediate appreciation of typical thermodynamic values for oligos of various lengths. RESULTS: Distributions of melting temperature (Tm), free energy (DeltaG(T)o), and fraction hybridized or fraction bound (Fb), are presented for oligos of length 10-50 bases sampled from the human genome. The effects of changing temperature, oligo and salt concentrations, constraining G+C content, and introducing mismatches are exemplified. Our results provide the first survey of typical and limiting thermodynamic values evaluated on a genomic scale. Described numbers comprise useful 'rules of thumb' that are applicable to most technologies dependent upon DNA oligo design.

Base Sequence↗

PubMed1998

Thermodynamics of internal C.T mismatches in DNA.

Thermodynamics of 23 oligonucleotides with internal single C.T mismatches were obtained by measuring UV absorbance as a function of temperature. Results from these 23 duplexes were combined with three measurements from the literature to derive nearest-neighbor thermodynamic parameters for seven linearly independent trimer sequences with internal C.T mismatches. The data show that the nearest-neighbor model is adequate for predicting thermodynamics of oligonucleotides with internal C.T with average deviations for Delta G degrees37, Delta H degrees, Delta S degrees and T m of 6.4%, 9.9%, 10.6%, and 1.9 degreesC respectively. C.T mismatches destabilize the duplex in all sequence contexts. The thermodynamic contribution of C. T mismatches to duplex stability varies weakly depending on the orientation of the mismatch and its context and ranges from +1.02 kcal/mol for GCG/CTC and CCG/GTC to +1.95 kcal/mol for TCC/ATG.

Cytidine↗

PubMed2001

NTDB: Thermodynamic Database for Nucleic Acids.

A new thermodynamic database for normal and modified nucleic acids has been developed. This Thermodynamic Database for Nucleic Acids (NTDB) includes sequence, structure and thermodynamic information as well as experimental methods and conditions. In this release, there are 1851 sequences containing both normal and modified nucleic acids. A user-friendly web-based interface has been developed to allow data searching under different conditions. Useful thermodynamic tools for the study of nucleic acids have been collected and linked for easy usage. NTDB is available at http://ntdb.chem.cuhk.edu.hk.

Databases, Factual↗

PubMed2003

The thermodynamic stability of RNA duplexes and hairpins containing N6-alkyladenosines and 2-methylthio-N6-alkyladenosines.

The N6-alkyladenosines and 2-methylthio-N6-alkyladenosines make up over half of the population of all naturally modified adenosines and they are present in the transfer ribonucleic acids (tRNA) at position 37. We measured effects of N6-alkyladenosines and 2-methylthio-N6-alkyladenosines on the thermodynamic stability of RNA duplexes containing a U-A(Mod) base pair at internal and terminal duplex positions, as well as containing modified adenosines as a 3'-terminal unpaired nucleotide. Beside naturally modified adenosines such as N6-isopentenyladenosine (i6A), N6-methyladenosine (m6A), 2-methylthio-N6-isopentenyladenosine (ms2i6A) and 2-methylthio-N6-methyladenosine (ms2m6A), we studied several artificial modifications to evaluate the steric and electronic effects of N6-alkyl substituents. Moreover, some N6-alkyladenosines and 2-methylthio-N6-alkyladenosines were placed in hairpins at positions corresponding to nucleotide 37 of the tRNA anticodon arm, and the thermodynamic stability of those hairpins was studied. The stability of the modified RNA hairpins was measured in standard melting buffer containing 1 M sodium chloride as well as in physiological buffer containing 10 mM magnesium chloride and 150 mM potassium chloride. The results obtained indicate that the nature of the adenosine modification and the position of U-A(Mod) base pairs within the duplex influence the thermodynamic stability of RNA duplexes. For most of the modification, the destabilization of duplexes was observed. Moreover, we found that the buffer composition and the structure of the modified adenosine very significantly affect the thermodynamic stability of RNA.

Adenosine↗

PubMed2005

Chemical synthesis and thermodynamic characterization of oxanine-containing oligodeoxynucleotides.

Oxanine (Oxa, O), one of the major damaged bases from guanine generated by NO- or HNO2-induced nitrosative deamination, has been considered as a mutagen-potent lesion. For exploring more detailed properties of Oxa, large-scale preparation of Oxa-containing oligodeoxynucleotide (Oxa-ODN) with the desired base sequence is a prerequisite. In the present study, we have developed a chemical synthesis procedure of Oxa-ODNs and characterized thermodynamic properties of Oxa in DNA strands. First, 2'-deoxynucleoside of Oxa (dOxo) obtained from 2'-deoxyguanosine by HNO2-nitrosation was subjected to 5'-O-selective tritylation to give 5'-O-(4,4'-dimethoxytrityl)-dOxo (DMT-dOxo) with a maximum yield of 70%. Subsequently, DMT-dOxo was treated with conventional phosphoramidation, which resulted in DMT-dOxo-amidite monomer with a maximum yield of 72.5%. The amidite obtained was used for synthesizing Oxa-ODNs: the coupling yields for Oxa incorporation were over 93%. The prepared Oxa-ODNs were employed for analyzing the thermodynamic properties of DNA duplexes containing base-matches of O:N [N; C (cytosine), T (thymine), G (guanine) or A (adenine)]. Melting temperatures (Tm) and thermodynamic stability (DeltaG37(0)) were found to be lower by 6.83 approximately 13.41 degrees C and 2.643 approximately 6.047 kcal mol(-1), respectively, compared with those of oligodeoxynucleotides, which had the same base sequence except that O:N was replaced by G:C (wild type). It has also been found that Oxa-pairing with cytosine shows relatively high stability in DNA duplex compared with other base combinations. The orders of DeltaDeltaG37(0) were O:C > O:T > O:A > O:G. The chemical synthesis procedure and thermodynamic characteristics of Oxa-ODNs established here will be helpful for elucidating the biological significance of Oxa in relation to genotoxic and repair mechanisms.

Base Pairing↗

PubMed2001

Molecular motors: thermodynamics and the random walk.

The biochemical cycle of a molecular motor provides the essential link between its thermodynamics and kinetics. The thermodynamics of the cycle determine the motor's ability to perform mechanical work, whilst the kinetics of the cycle govern its stochastic behaviour. We concentrate here on tightly coupled, processive molecular motors, such as kinesin and myosin V, which hydrolyse one molecule of ATP per forward step. Thermodynamics require that, when such a motor pulls against a constant load f, the ratio of the forward and backward products of the rate constants for its cycle is exp [-(DeltaG + u(0)f)/kT], where -DeltaG is the free energy available from ATP hydrolysis and u(0) is the motor's step size. A hypothetical one-state motor can therefore act as a chemically driven ratchet executing a biased random walk. Treating this random walk as a diffusion problem, we calculate the forward velocity v and the diffusion coefficient D and we find that its randomness parameter r is determined solely by thermodynamics. However, real molecular motors pass through several states at each attachment site. They satisfy a modified diffusion equation that follows directly from the rate equations for the biochemical cycle and their effective diffusion coefficient is reduced to D-v(2)tau, where tau is the time-constant for the motor to reach the steady state. Hence, the randomness of multistate motors is reduced compared with the one-state case and can be used for determining tau. Our analysis therefore demonstrates the intimate relationship between the biochemical cycle, the force-velocity relation and the random motion of molecular motors.

Adenosine Triphosphate↗

PubMed2001

Toward a theory of the general-anesthetic-induced phase transition of the cerebral cortex. I. A thermodynamics analogy.

In a recent paper the authors developed a stochastic model for the response of the cerebral cortex to a general anesthetic agent. The model predicted that there would be an anesthetic-induced phase change at the point of transition into unconsciousness, manifested as a divergence in the electroencephalogram spectral power, and a change in spectral energy distribution from being relatively broadband in the conscious state to being strongly biased towards much lower frequencies in the unconscious state. Both predictions have been verified in recent clinical measurements. In the present paper we extend the model by calculating the equilibrium distribution function for the cortex, allowing us to establish a correspondence between the cortical phase transition and the more familiar thermodynamic phase transitions. This correspondence is achieved by first identifying a cortical free energy function, then by postulating that there exists an inverse relationship between an anesthetic effect and a quantity we define as cortical excitability, which plays a role analogous to temperature in thermodynamic phase transitions. We follow standard thermodynamic theory to compute a cortical entropy and a cortical "heat capacity," and we investigate how these will vary with anesthetic concentration. The significant result is the prediction that the entropy will decrease discontinuously at the moment of induction into unconsciousness, concomitant with a release of "latent heat" which should manifest as a divergence in the analogous heat capacity. There is clear clinical evidence of heat capacity divergence in historical anesthetic-effect measurements performed in 1977 by Stullken et al. [Anesthesiology 46, 28 (1977)]. The discontinuous step change in cortical entropy suggests that the cortical phase transition is analogous to a first-order thermodynamic transition in which the comatose-quiescent state is strongly ordered, while the active cortical state is relatively disordered.

Anesthesia, General↗

PubMed2003

Determination of membrane protein stability via thermodynamic coupling of folding to thiol-disulfide interchange.

Although progress has been made in understanding the thermodynamic stability of water-soluble proteins, our understanding of the folding of membrane proteins is at a relatively primitive level. A major obstacle to understanding the folding of membrane proteins is the discovery of systems in which the folding is in thermodynamic equilibrium, and the development of methods to quantitatively assess this equilibrium in micelles and bilayers. Here, we describe the application of disulfide cross-linking to quantitatively measure the thermodynamics of membrane protein association in detergent micelles. The method involves initiating disulfide cross-linking of a protein under reversible redox conditions in a thiol-disulfide buffer and quantitative assessment of the extent of cross-linking at equilibrium. The 19-46 alpha-helical transmembrane segment of the M2 protein from the influenza A virus was used as a model membrane protein system for this study. Previously it has been shown that transmembrane peptides from this protein specifically self-assemble into tetramers that retain the ability to bind to the drug amantadine. We used thiol-disulfide exchange to quantitatively measure the tetramerization equilibrium of this transmembrane protein in dodecylphosphocholine (DPC) detergent micelles. The association constants obtained agree remarkably well with those derived from analytical ultracentrifugation studies. The experimental method established herein should provide a broadly applicable tool for thermodynamic studies of folding, oligomerization and protein-protein interactions of membrane proteins.

Chromatography, High Pressure Liquid↗

PubMed1999

On the non-respect of the thermodynamic cycle by DsbA variants.

The mechanism of the disulfide-bond forming enzyme DsbA depends on the very low pKa of a cysteine residue in its active-site and on the relative instability of the oxidized enzyme compared to the reduced one. A thermodynamic cycle has been used to correlate its redox properties to the difference in the free energies of folding (deltadeltaGred/ox) of the oxidized and reduced forms. However, the relation was proved unsatisfied for a number of DsbA variants. In this study, we investigate the thermodynamic and redox properties of a highly destabilized variant DsbA(P151A) (substitution of cis-Pro151 by an alanine) by the means of intrinsic tryptophan fluorescence and by high-sensitivity differential scanning calorimetry (HS-DSC). When the value of deltadeltaGred/ox obtained fluorimetrically for DsbA(P151A) does not correlate with the value expected from its redox potential, the value of deltadeltaGred/ox provided by HS-DSC are in perfect agreement with the predicted thermodynamic cycle for both wild-type and variant. HS-DSC data indicate that oxidized wild-type enzyme and the reduced forms of both wild-type and variant unfold according to a two-state mechanism. Oxidized DsbA(P151A) shows a deviation from two-state behavior that implies the loss of interdomain cooperativity in DsbA caused by Pro151 substitution. The presence of chaotrope in fluorimetric measurements could facilitate domain uncoupling so that the fluorescence probe (Trp76) does not reflect the whole unfolding process of DsbA(P151A) anymore. Thus, theoretical thermodynamic cycle is respected when an appropriate method is applied to DsbA unfolding under conditions in which protein domains still conserve their cooperativity.

Calorimetry, Differential Scanning↗