Proteins are often described in textbooks as being only "marginally stable" but many proteins, specifically those with a high free energy of unfolding are, in fact, so stable that they exist only in the fully folded state except under harsh denaturing conditions. Proteins that are truly only marginally stable, those with a low free energy of unfolding, exist as an equilibrium mixture of folded and unfolded forms under "normal" conditions. To some extent such proteins have some features in common with "intrinsically disordered" proteins. We analyzed the relationship between these marginally stable proteins and intrinsically disordered proteins in order to fully understand the twilight zone that distinguishes the two ensembles in the hope of clarifying the fuzzy borders of the current classification that divides the protein world into folded and intrinsically disordered ones. Our analysis suggests that the division may be too drastic and misleading, because it puts within the same category proteins with very different behaviors. We propose a restricted, albeit operational, definition of "marginally stable proteins", referring by this term only to proteins whose free energy difference between the folded and unfolded states falls in the interval 0-3 kcal/mol. These proteins have special features because they normally exist as equilibrium mixtures of folded and unfolded species or as molten globule states. This coexistence makes marginally stable proteins ideal tools to study even small environmental changes to which they may behave as natural sensors.
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Nat Commun
January 2025
State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan, PR China.
All-perovskite tandem solar cells (APTSCs) offer the potential to surpass the Shockley-Queisser limit of single-junction solar cells at low cost. However, high-performance APTSCs contain unstable methylammonium (MA) cation in the tin-lead (Sn-Pb) narrow bandgap subcells. Currently, MA-free Sn-Pb perovskite solar cells (PSCs) show lower performance compared with their MA-containing counterparts.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Analytical Chemistry, Faculty of Chemistry, Razi University, Kermanshah, Iran.
This study introduces the development of a highly sensitive label-free electrochemical immunosensor specifically designed to detect prostate-specific antigen (PSA). A glassy carbon electrode (GCE) coated with Au nanoparticles/polyhedral hollow CoCu bimetallic sulfide (CuCoS) was employed as a sensing interface for the fixation of the monoclonal anti-PSA antibody. The nanoarchitectures enhanced the capacity for loading prostate-specific antibodies (Ab) and effectually boosted electrical conductivity leading to enhance the electrochemical signal and greater sensitivity for the detection of PSA.
View Article and Find Full Text PDFJ Vasc Interv Radiol
January 2025
Department of Medical Imaging, Radboud Institute for Health Sciences, Radboud University Medical Center, Geert Grooteplein 10, 6525 GA Nijmegen, The Netherlands.
Purpose: To investigate the feasibility and safety of MRI-guided focal laser ablation (FLA) in localized, International Society of Urological Pathology (ISUP) grade 1-3, prostate cancer (PCa) using an integrated system.
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Biochem Biophys Res Commun
January 2025
Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India. Electronic address:
Cancer is the second foremost cause of fatalities associated with non-communicable diseases across the globe, affecting multiple organs and often necessitating costly treatments with adverse side effects. Apoptosis, the body's natural cell death process, plays a crucial role in the prevention of cancer, but it's often disrupted in cancer cells, allowing uncontrolled proliferation. Restoring apoptosis in cancer cells is one of the promising therapeutic strategies to curb tumor growth and enhance clinical outcomes.
View Article and Find Full Text PDFJ Neural Eng
January 2025
Mechanical and Aerospace, Missouri University of Science and Technology, 400 W 13th St., Rolla, Missouri, 65409, UNITED STATES.
This work explores use of a few-shot transfer learning method to train and implement a convolutional spiking neural network (CSNN) on a BrainChip Akida AKD1000 neuromorphic system-on-chip for developing individual-level, instead of traditionally used group-level, models using electroencephalographic data. The efficacy of the method is studied on an advanced driver assist system related task of predicting braking intention. \emph{Approach}: Data are collected from participants operating an NVIDIA JetBot on a testbed simulating urban streets for three different scenarios.
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