388 papers
Biophysics sits at the fascinating intersection where the laws of physics meet the complexity of living systems. This field uses tools like light, electricity, and mechanical forces to decode how cells move, how proteins fold, and how our senses translate the world around us. Rather than just observing biology, biophysicists measure and model life to understand the fundamental machinery that powers every organism.
On Gist.Science, we make these discoveries accessible by curating the latest preprints directly from bioRxiv. Our team processes every new submission in this category, providing both clear, plain-language overviews and detailed technical summaries so readers of all backgrounds can grasp the cutting-edge science. Below are the most recent biophysics papers from bioRxiv, ready for you to explore.
The paper introduces MAHLER, an open-source hybrid machine learning and physics method that integrates inverse folding with metadynamics to rapidly and accurately predict antibody-antigen dissociation kinetics at scale, offering a practical alternative to affinity-focused design tools.
Using quadruple optical tweezers and a Bayesian unmasking strategy, this study demonstrates that single actin and vimentin filaments form direct, force-bearing interactions independent of crosslinking proteins, with bond strengths that are robust to ionic strength variations but constrained by the mechanical limits of actin filaments.
This study demonstrates that the spatial organization of anionic lipids within lipid nanodiscs, driven by clustering and interactions with the membrane scaffold protein, critically regulates the conformational equilibria of the A2A adenosine receptor, a mechanism that can be modulated through targeted protein engineering.
This study reveals that FluoVolt staining and associated laser excitation induce significant photodamage and dye-induced morphological perturbations in various cell types, necessitating optimized protocols to mitigate systematic artifacts in live-cell voltage imaging.
This study establishes a multimodal framework that correlates vibroacoustic signals with high-resolution microCT imaging in *Manduca sexta* to validate the relationship between acoustic events and soft-tissue transitions during needle insertion, offering a foundation for improved haptic feedback in robotic-assisted procedures.
This study utilizes cryo-electron microscopy to demonstrate that the TRPM4 inhibitor PBA exhibits temperature-dependent plasticity, relocating from a canonical binding pocket at low temperatures to a distinct site near the calcium regulatory region at physiological temperatures.
This paper introduces a closed-form Bayesian analytical framework that utilizes Replication Fork Directionality data to precisely infer origin numbers, activation delays, and intrinsic timing in eukaryotic DNA replication, thereby revealing regulated activation kinetics in *S. cerevisiae* without the need for stochastic simulations.
This study benchmarks AlphaFold3, AlphaFold2-Multimer, Chai-1, and Boltz-2 on a curated dataset of fuzzy protein complexes, revealing that despite minor structural variations, all current predictors fail to accurately capture the conformational disorder and thermodynamic ensemble behavior of these systems, as evidenced by uniform NOE restraint violations and poor helicity correlations.
This study demonstrates that co-targeting the structurally similar metabolic neighbors FolB and FolX in the folate biosynthesis pathway with the dual-inhibitor Arbutin effectively constrains bacterial adaptive evolution and limits the emergence of antibiotic resistance.
This paper reports the successful implementation of a crossed laser phase plate (xLPP) on a Krios G4 microscope, demonstrating its ability to provide stable, additive phase shifts that enable high-contrast, high-resolution cryoEM imaging of both standard protein benchmarks and thick biological cells.