Quantitative Biology

A new framework enhances data pruning by focusing on pre-trained models for molecular tasks.

Discover the importance and flexibility of intrinsically disordered proteins in biology.

The role of zinc in regulating the CzrA protein's function is examined.

AbGPT aids in creating effective antibody sequences using advanced machine learning techniques.

Strategies to address resource competition in CRISPR technology for better gene control.

This article discusses the integration of VR and molecular dynamics for research advancements.

AlphaProteo uses machine learning to design effective protein-binding proteins for research and medicine.

Research explores how hydrogen affects myoglobin and its potential health benefits.

This study reveals how cells maintain movement despite barriers.

Exploring how cells move together and communicate during biological processes.

Researchers aim to model how cells grow and specialize.

Amoeboid cells use pseudopods to make movement decisions based on chemical signals.

A new model enhances understanding of how bacteria grow and thrive.

Examining how asymmetric division influences colon cancer cell growth.

This article examines the link between cell adhesion and tissue fluidity.

Hes1 oscillation is key to proper brain cell development and communication.

A new benchmark helps researchers tackle cancer data challenges.

Innovative approach to enhance diffusion models while avoiding complex adjustments.

New methods improve how researchers analyze genetic data efficiently.

Discover how k-mers aid in understanding genetic information and advancing biological research.

Study reveals key genes linked to age-related macular degeneration severity.

Innovative techniques improve labeling of single-cell profiles in developmental biology.

wgatools streamlines whole genome alignment with versatile tools for researchers.

K-mers offer a fresh approach to understanding genetic diversity in populations.

Examining particle interactions is key to advances in biology and chemistry.

TE-PWS enables precise evaluation of information flow in complex systems.

New methods improve timing predictions in biochemical reactions.

Circadian rhythms maintain stability despite varying temperatures, revealing intricate biological mechanisms.

This article explores the impact of toxic proteins on brain signaling in Alzheimer's.

Research shows how temporary gene changes can lead to lasting effects in bacteria.

Strategies to address resource competition in CRISPR technology for better gene control.

This article explains monotonicity and non-expansivity in reaction networks.

Studying gaze patterns can enhance understanding of social interactions in individuals with ASD.

Researchers develop LEGNet to better predict language abilities in stroke survivors.

This article explores how visual features influence our decision-making.

This study reveals how simple neurons communicate and synchronize in a roundworm.

Explore how brain connections impact language abilities and communication.

Exploring how hyperbolic geometry can enhance artificial intelligence and understanding of the brain.

Exploring the limits of prediction in chaotic systems and their implications.

SPLICE method enhances understanding of shared and private information in neuroscience.

This article outlines the essentials of a successful benchmarking system in bioinformatics.

F-BIAS connects analysts and researchers to improve bioimage analysis services.

Learn about new methods for improving microscopy image clarity using AI.

A new system simplifies benchmarking for better tool evaluation in bioinformatics.

Research merges SERS and deep learning for better health diagnostics using urine samples.

Biomarkers guide personalized treatments and improve health assessments.

Explore how John Hopfield's work reshapes AI and our understanding of life.

A new approach enhances molecular sequence analysis using the Hilbert curve.

Analyzing malaria spread through models and innovative techniques.

This model highlights how time influences competition and cooperation in various games.

Examining how competition shapes local communities of species over time.

Examining the costs and roles of regulation in biological and human systems.

Exploring how bacteria communicate and coordinate through quorum sensing.

Soil microbes are vital for plant growth and environmental health.

This research examines factors affecting the lifespan of the oldest individuals.

Explore how mathematical models predict infectious disease dynamics and inform health responses.

Analyzing random behaviors in systems reveals key insights across various fields.

Examining particle interactions is key to advances in biology and chemistry.

This study examines how BrainAge and MetaboAge predict health outcomes.

Machine learning improves predictions and monitoring in biopharmaceutical manufacturing.

A new method and dataset for automated cell analysis in brain research.

Exploring how graph structure influences predictions in biomedical knowledge graphs.

A novel model improves predictions of drugs crossing the blood-brain barrier.

New tools enhance shape analysis for evolutionary insights.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

Investigating how cells decide their roles in a complex biological environment.

HIPPO method enhances comprehension of AI models in tissue analysis.

Adaptive therapy offers a new approach to managing drug-resistant cancer cells.

This article examines how epithelial cells behave under compression.

Researchers aim to model how cells grow and specialize.

This article examines the mechanics of tissue shape changes during animal development.

New techniques aim to improve prostate cancer treatment through data-driven models.

Study reveals surprising behavior of pigment cells in squid skin as they grow.

PathoGen-X combines imaging and genomic data for better cancer survival predictions.