Latest Articles for Biology

Discover how retina cells use energy for vision.

A study on how clusters grow in aggregation models, focusing on ballistic aggregation.

A new method improves accuracy in analyzing noisy biological sequences.

A new method enhances understanding of complex time series relationships.

A new approach that enhances image quality in microscopy.

This article examines how wormlike chains behave when confined and under tension.

A look into methods for aligning graphs and their importance in various fields.

This article explores how active particles behave in viscoelastic materials.

STARDUST improves calcium imaging analysis for better understanding of astrocyte behavior.

TIMS2Rescore enhances protein identification accuracy in proteomics research.

Thermodynamic Maps improve understanding of phase transitions in complex systems.

AFsample2 enhances protein shape predictions through innovative sampling methods.

MULAN integrates sequence and structural data to enhance understanding of proteins.

Examining the complexities of improving light energy capture in systems.

A virtual model of the C. elegans worm enhances biology research and education.

STMask enhances analysis of gene expression through advanced spatial clustering methods.

Innovative techniques for solving complex differential equations through -structures.

New version of DockQ enhances evaluation of protein structures and interactions.

Study reveals critical factors affecting lipid recovery in liposome formation.

This article examines how mutations affect growth rates in yeast organisms.

Explore how particles move in temperature gradients and its applications.

A new model improves the accuracy of simulations in biological systems.

TACIT enhances cell type identification for improved disease treatment insights.

A fresh approach for using neural networks with complex data structures.

An overview of anomalous diffusion and its significance in various fields.

Charge differences in polymers affect droplet merging and coarsening dynamics.

A novel approach enhances molecular predictions by focusing on motif connections.

Research reveals how mutations impact protein behavior, aiding future medical applications.

This study explores the relationship between graphs, crossings, and signed permutations.

New models improve understanding and prediction of protein functions.

Harissa simulates gene regulatory networks and analyzes bursty gene expression.

New model enhances graph data analysis by preserving topological features.

Exploring the movement and behavior of active filaments in nature and technology.

Analyzing peeling behavior to improve adhesive applications using machine learning.

Exploring the link between chirality and electron spins in modern science.

Study explores how bacteria and inflammation affect skin wound recovery.

A new method for approximating invariant measures in stochastic systems.

Researchers use machine learning to better understand and recreate natural patterns in chemistry.

DANCE tool revolutionizes understanding of protein shape changes and functions.

Explore the unique interactions of chiral structures with light and magnetism.