The denaturation of bovine and horse cytochromes-c by weak salt denaturants (LiCl and CaCl(2)) was measured at 25 degrees C by observing changes in molar absorbance at 400 nm (Delta epsilon(400)) and circular dichroism (CD) at 222 and 409 nm. Measurements of Delta epsilon(400) and mean residue ellipticity at 409 nm ([theta](409)) gave a biphasic transition for both modes of denaturation of cytochromes-c. It has been observed that the first denaturation phase, N (native) conformation <--> X (intermediate) conformation and the second denaturation phase, X conformation <--> D (denatured) conformation are reversible. Conformational characterization of the X state by the far-UV CD, 8-anilino-1-naphthalene sulfonic acid (ANS) binding, and intrinsic viscosity measurements led us to conclude that the X state is a molten globule state. Analysis of denaturation transition curves for the stability of different states in terms of Gibbs energy change at pH 6.0 and 25 degrees C led us to conclude that the N state is more stable than the X state by 9.55 +/- 0.32 kcal mol(-1), whereas the X state is more stable than the D state by only 1.40 +/- 0.25 kcal mol(-1). We have also studied the effect of temperature on the equilibria, N conformation <--> X conformation and X conformation <--> D conformation in the presence of different denaturant concentrations using two different optical probes, namely, [theta](222) and Delta epsilon(400). These measurements yielded T(m), (midpoint of denaturation) and Delta H(m) (enthalpy change) at T(m) as a function of denaturant concentration. A plot of Delta H(m) versus corresponding T(m) was used to determine the constant-pressure heat capacity change, Delta C(p) (= ( partial differential Delta H(m)/ partial differential T(m))(p)). Values of Delta C(p) for N conformation <--> X conformation and X conformation <--> D conformation is 0.92 +/- 0.02 kcal mol(-1) K(-1) and 0.41 +/- 0.01 kcal mol(-1) K(-1), respectively. These measurements suggested that about 30% of the hydrophobic groups in the molten globule state are not accessible to the water.
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Langmuir
January 2025
Department of Chemistry, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.
It is crucial to comprehend protein misfolding and aggregation in the domains of biomedicine, pharmaceuticals, and proteins. Amyloid fibrils are formed when proteins misfold and assemble, resulting in the debilitating illness known as "amyloidosis". This work investigates lysozyme fibrillation with pluronics (F68 and F127).
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Université de Lyon, VetAgro Sup, UPSP ICE 2021.A104, France.
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View Article and Find Full Text PDFNanoscale
January 2025
College of Optical and Electronic Technology, China Jiliang University, Hangzhou 310018, China.
Dynamic surface-enhanced Raman spectroscopy (SERS) is nowadays one of the most interesting applications of SERS, in particular for single molecule studies. In fact, it enables the study of real-time processes at the molecular level. This review summarizes the latest developments in dynamic SERS techniques and their applications, focusing on new instrumentation, data analysis methods, temporal resolution and sensitivity improvements, and novel substrates.
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January 2025
School of Applied Chemistry and Engineering, University of Science and Technology of China, Hefei 230026, China.
Diblock copolyelectrolytes have significant potential in applications such as solid-state single-ion conductors, but precisely controlling their nanostructures for efficient ion transport remains a challenge. In this study, we explore the phase behavior and microphase transitions of AX BY-type diblock copolyelectrolytes under alternating electric fields using coarse-grained molecular dynamics simulations. We systematically investigate the effects of various electric field features, including unipolar and bipolar square-waves, as well as offset and non-offset sine-waves, focusing on how field strength and period influence the self-assembling morphology of the copolyelectrolytes.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Department of Computer Science, Stanford University, Stanford, California 94305, USA.
Atomic-level simulations are widely used to study biomolecules and their dynamics. A common goal in such studies is to compare simulations of a molecular system under several conditions-for example, with various mutations or bound ligands-in order to identify differences between the molecular conformations adopted under these conditions. However, the large amount of data produced by simulations of ever larger and more complex systems often renders it difficult to identify the structural features that are relevant to a particular biochemical phenomenon.
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