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Biophysica

Biophysica is an international, peer-reviewed, open access journal on applying the methods of physics, chemistry, and math to study biological systems, published bimonthly online by MDPI.

All Articles (251)

Protein folding displays a very narrow range of stability energy as measured by the ΔG° value associated with the process of protein folding from the unfolded sequence of amino acids defining a particular protein. We have recently reported the Gaussian distribution of ΔG° values obtained from a Data Base, constituted by more than five hundred data points from protein folding processes. An average value of ΔG° = −30.9 kJ/mol was obtained. Considering that a protein solution may include thousands of hydrogen bonds in water solution, this is an extremely low value, approximately equivalent to two hydrogen bonds. The enthalpy–entropy compensation has been repeatedly used as the main empirical mechanism, based in classical thermodynamics, to explain the low energy involved in stabilizing proteins. I present here a different approach, based on the thermodynamics of steady states in open systems, in an attempt to complement the achievements obtained through the EEC. The main conclusions explain the narrow range of ΔG° values reported previously as a consequence of environmental conditions, such as the protein solubility, and the plausible concentration, “in vivo,” of both protein forms, folded and unfolded. Particularly relevant is the condition of increasing the entropy of irreversible processes inside adiabatic systems. It is also worth noting the observation that, according to the results obtained from the theoretical model used, any protein could be folded with slightly different stability values of ΔG°, following the theorem of minimum entropy production rate.

16 February 2026

Rate of entropy production. Calculation of the entropy production rate, TƟ, as a function of the concentration of the B form of a protein (in logarithmic form), following Equation (26). Values of parameters used in both parts (A,B): ra = rb = 106, kb = 107/K, Cae = 10−10. Part (A): Cb′ = 1 µM, Ca′ = 0.3 nM and ΔG° = −25 kJ/mol. Part (B): Cb′ = 0.8 µM, Ca′ = 0.5 nM and ΔG° = −26.25 kJ/mol. Continuous curves in “black” correspond to the entropy production rate at the steady state and were obtained following Equation (26). Discontinuous curves correspond to the entropy production rate due to diffusion and were obtained following Equation (22). Continuous gray curves correspond to the entropy production rate due to the chemical reaction and were obtained following Equation (25). The arrows indicate the Cb concentration of the steady state as calculated by using Equation (29).

Ion channels are fundamental membrane proteins that mediate selective ion flow across biological membranes and thereby govern excitability, signaling, and homeostasis in virtually all cell types. Although channel function is determined by intrinsic structural features, the surrounding lipid milieu is now recognized as a decisive regulatory layer. Lipids tune ion channel activity through complementary mechanisms: they can bind directly to channel proteins, reshape bilayer physical properties, or act as signaling messengers that couple extracellular cues to channel gating. In addition, the organization of membranes into lipid microdomains such as rafts and caveolae can cluster channels with receptors and scaffolds, enhancing signaling specificity and efficiency. Recent advances in cryo-electron microscopy and molecular simulations have expanded our understanding of these lipid–channel interactions, revealing lipids as active modulators rather than passive structural components. This review provides a comprehensive overview of the principles by which lipids regulate ion channel function and highlights the biological and potential clinical significance of this fundamental interplay.

15 February 2026

Molecular diversity of membrane lipids and ion channels. (a) Schematic of major membrane lipids: PC (phosphatidylcholine), PE (phosphatidylethanolamine), PS (phosphatidylserine), SP (sphingomyelin), CHL (cholesterol), and GL (glycolipids). (b) Lipid bilayer illustrating the asymmetric composition of the outer (exoplasmic) and inner (cytoplasmic) leaflets. It also depicts, as an illustrative example: GLIC, a ligand-gated channel (PDB ID: 4NPQ [28]). Molecular graphic was prepared with UCSF ChimeraX (v1.10.1).

Neurodegenerative conditions such as Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis (ALS) are devastating disorders with the gradual loss of neurons and cognitive or motor disability. This is a review article that develops the crucial functions of autophagy and proteostasis within the scope of the neurodegenerative disease. Autophagy is a very well-conserved cell process that poses a quality control checkpoint that allows for the degradation and recycling of damaged organelles and misfolded proteins. Chaperones, the ubiquitin–proteasome complexes, and endoplasmic reticulum-associated degradation (ERAD) are also referred to as proteostasis, which plays a key role in ensuring the correct protein folding properties and the prevention of toxic protein accumulation. This article offers a detailed discussion of the relationship between autophagy and proteostasis, illustrating the mechanisms of mutual cooperation of these processes, ensuring cellular homeostasis and inhibiting the formation of pathogenic protein aggregates. In addition, this review includes experimental data during preclinical studies and clinical trials and expounds on the therapeutic opportunities that show the potential of targeting autophagy and proteostasis to counter neurodegenerative disorders. Although research progress creates potential for new indicators, the issues and difficulties relating to the effects of regulating such complex cellular pathways are also discussed in the article. Finally, the review can add to the research of neurodegenerative disease mechanisms of autophagy and proteostasis as well as provide insights about the future of treatment and its implementation.

13 February 2026

Overview of neurodegenerative diseases.

β Alanine Modulates the Activity and Stability of Peroxiredoxin 6: A Biochemical and Mechanistic Study

  • Anju Kumari,
  • Kuldeep Singh and
  • Laishram Rajendrakumar Singh
  • + 3 authors

Peroxiredoxin 6 (Prdx6) is a bifunctional antioxidant enzyme with glutathione peroxidase and phospholipase A2 activities that plays an essential role in cellular redox regulation. However, the modulation of Prdx6 activity by endogenous small metabolites remains poorly understood. In this study, we investigated the effect of β alanine on Prdx6 structure and function using biochemical, biophysical, computational, and cellular approaches. Enzymatic assays revealed that β alanine enhances the peroxidase activity of Prdx6 in a dose-dependent manner. Spectroscopic analyses demonstrated β alanine-induced conformational stabilization of Prdx6, which was further supported by increased thermal stability. Molecular docking and molecular dynamics simulations identified a stable interaction of β alanine at a distinct allosteric site on Prdx6, accompanied by reduced local flexibility. In a proof-of-concept cellular system, β alanine treatment resulted in a significant reduction in intracellular reactive oxygen species, consistent with enhanced Prdx6-associated antioxidant activity. Collectively, these findings identify β alanine as a biochemical modulator of Prdx6 activity. The study is limited to mechanistic and cellular redox regulation and does not address tissue- or disease-specific physiology.

5 February 2026

Screening of endogenous metabolites affecting Prdx6 peroxidase activity. The effect of selected endogenous metabolites on Prdx6 peroxidase activity was assessed using a hydrogen peroxide decay assay. (a) Sorbitol, (b) myo-inositol, (c) aspartate, and (d) β alanine were tested at 50, 100, 250, and 500 µM, with untreated Prdx6 serving as control. Data are presented as percent activity relative to control (mean ± SEM, n = 3). Statistical significance compared to control was determined using one-way ANOVA followed by Tukey’s multiple comparison test and is indicated as * p < 0.05, ** p < 0.01, *** p < 0.001. β alanine showed a pronounced dose-dependent activation of Prdx6 compared to other metabolites.

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Biophysica - ISSN 2673-4125