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.

Quantum kernel support vector machines for trabecular bone classification: comparing feature reduction strategies on synthetic micro-CT data

This study demonstrates that while most dimensionality reduction strategies cause quantum kernel SVMs to underperform classical baselines in trabecular bone classification, UMAP is the sole method that allows quantum kernels to remain competitive, though the observed advantage is statistically insignificant and likely inflated by fold dependence, alongside findings that ZZ quantum kernels fail to capture smooth metric structures for regression tasks.

Florez, I., Farhat, A., Le Houx, J., Altamura, E., Tozzi, G.2026-05-07⚛️ biophysics

Deep Learning-Enhanced TopoStats for the Automated Quantification of DNA and Complex Biomolecular Structures

This paper introduces Deep Learning-Enhanced TopoStats, an open-source Python package that automates the quantitative analysis of Atomic Force Microscopy (AFM) data for DNA and complex biomolecules, thereby transforming AFM from a qualitative visualization tool into a robust, high-throughput analytical framework capable of distinguishing subtle structural differences.

Whittle, S., Firth, T. A., Gamill, M. C., Wiggins, L., Shephard, N., Allwood, T., Catley, T. E., Pyne, A. L. B.2026-05-07⚛️ biophysics

Mechanics-Driven Emergence of Mesenchymal Migration Features

This paper introduces a minimal, two-dimensional computational model demonstrating that mesenchymal cell migration, characterized by persistent random walks and diverse morphologies, can emerge solely from the mechanical interplay of intracellular traction forces and dynamic adhesion cycles without requiring imposed polarization or directional bias.

Louviaux, N., Cheddadi, I., Verdier, C., Stephanou, A., Chauviere, A.2026-05-04⚛️ biophysics

In silico design and validation of high-affinity RNA aptamers for SARS-CoV-2 comparable to neutralizing antibodies

This study introduces CAAMO, an integrated computational and experimental framework that successfully optimized a SARS-CoV-2 RNA aptamer to achieve binding affinity comparable to neutralizing antibodies, demonstrating a robust pathway for developing high-affinity aptamer-based therapeutics and diagnostics.

Yang, Y., Qiao, L., Jiang, Y., Wang, Z., Zhang, D., Buratto, D., Huang, L., Zhou, R.2026-05-03⚛️ biophysics

Phase separation determines treadmilling-like movement ofactin bundles

This study demonstrates that liquid-liquid phase-separated condensates of zyxin and VASP enable persistent, treadmilling-like movement of actin bundles by balancing polymerization and cofilin-driven disassembly through an intermediate range of self-affinity, a mechanism validated by both in vitro reconstitution and agent-based simulations.

Nast-Kolb, T., Nettuno, B., Toffenetti, D., Striebel, M., Frey, E., Bausch, A. R.2026-04-29⚛️ biophysics

Covalently linked peptides and membrane potential enable CyaA segment translocation

Using a novel Droplet Interface Bilayer (DIB-Pipette) approach, this study reveals that while the CyaA toxin's P454 and P233 segments translocate independently of and dependently on membrane potential, respectively, their covalent linkage enables efficient translocation even without an electric potential, uncovering a cooperative mechanism for CyaA cell intoxication.

Scilironi, G., Carvalho, N., Frangieh, J., Leger, C., Raoux-Barbot, D., Guijarro, J. I., Ladant, D., Cribier, S., Rodriguez, N., CHENAL, A.2026-04-24⚛️ biophysics