329 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.
This study provides biochemical and structural evidence that TFAM oligomerizes on longer DNA segments to compact the mitochondrial genome into homogeneous yet dynamically flexible higher-order nucleoid structures, extending beyond previous insights derived from short DNA fragments.
This study employs an agent-based model to demonstrate that mitochondrial jamming, driven by organelle shape and fission-fusion dynamics, generates mechanical stress that causes axonal swelling, thereby linking transport failure to structural neuronal pathology.
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.
The authors present a compact, repetition-controllable gain-managed nonlinear fiber amplifier that delivers high-energy, ultrashort near-infrared pulses to enable versatile, label-free multiphoton imaging of diverse biological samples while demonstrating that lower repetition rates can reduce photodamage.
This study presents an agent-based computational model that successfully simulates and validates the role of transient mechanical stiffness changes in guiding axonal regeneration across spinal cord lesions in zebrafish larvae, offering a valuable in silico platform for investigating regeneration mechanisms.
By leveraging a 28.2 T MRI system and a correlative 3D lightsheet microscopy workflow, this study establishes a non-destructive, high-resolution microstructural imaging platform for living cortical organoids that reveals detailed tissue architecture and maturation dynamics to bridge the gap between preclinical validation and clinical MRI biomarker development.
This study reveals that replacing the azadithiolate ligand with propanedithiolate in the O2-stable Group B hydrogenase ToHydA disrupts a critical hydrogen bond with the C212 residue, thereby preventing the formation of protective Hinact and Htrans states and altering the enzyme's structural dynamics and redox behavior.
This paper demonstrates that RGB cameras offer a cost-effective and scalable solution for high-throughput multi-colour single-molecule localisation microscopy, achieving simultaneous classification of up to six fluorophores with high precision by leveraging intrinsic spectral sensitivity to overcome traditional trade-offs between spectral discrimination, imaging speed, and experimental complexity.
This study introduces an optical imaging stabilization approach integrating FREVR technology into a multiphoton microscope to achieve high-precision alternation between sample planes, enabling the quantitative monitoring of dynamic receptor-arrestin interactions at the plasma membrane of individual live cells while capturing physiological cell-to-cell variability without the need for signal averaging.
CGAgentX is an autonomous multi-agent framework that leverages specialized LLM-based agents to iteratively optimize and validate transferable coarse-grained models for complex molecular systems, achieving high accuracy in reproducing experimental and atomistic properties without manual intervention.