Quantitative Biology

ApisTox offers crucial insights into pesticide effects on honey bees.

HEroBM improves accuracy in backmapping coarse-grained molecular simulations.

New techniques for faster and flexible molecular structure generation are emerging.

A new method streamlines drug design by generating tailored molecules efficiently.

Researchers develop efficient models to study lipid membranes and cellular dynamics.

A new approach reveals how proteins function in natural environments.

UniCorn integrates diverse pre-training methods for effective molecular representation learning.

A new AI tool improves drug discovery by generating better molecules faster.

This study examines how Snail and hypoxia influence tumor cell movement and growth.

This article explores how ion channels shape neuron behavior despite variability.

Explore methods for estimating cell numbers using fractions and mathematical models.

Study on how active particles behave during run-and-tumble motion.

Examining cell behavior and interactions in nutrient and waste management.

PARADIGM integrates diverse cancer data for improving patient survival predictions.

Learn how PhysiBoSS simplifies complex biological modeling for researchers.

Exploring how cells interact on curved surfaces can enhance tissue engineering and understanding of biological processes.

Research reveals genetic insights into bipolar disorder, aiming for better treatments.

Learn about diploid genome assembly and the obstacles scientists face.

LangCell combines cell data and natural language for better cell analysis.

Efficient SNP identification reshapes genomic analysis and its applications in health.

Introducing a new method for assessing data quality in machine learning.

CAVACHON helps combine single-cell data to reveal complex biological relationships.

DYNA improves the prediction of genetic variants for better patient care.

STimage-1K4M combines detailed images and gene data to enhance disease research.

Exploring the significance of monotonicity and contractivity in reaction networks.

Researchers study how p53 affects cancer cell energy processing.

Examining how gene duplication and regulation shape evolutionary processes.

Learn how living organisms maintain stability in changing environments.

Research into protocells offers insights into life's origins and synthetic biology.

A new approach identifies stable communities in Hi-C data despite noise.

Discover how machine learning is advancing synthetic biology through innovative methods.

drGAT uses machine learning to predict how cells respond to drugs.

An overview of training methods for spiking neural networks and their implications.

Research reveals the impact of ephaptic coupling on brain complexity and cognitive function.

A new framework for generating images based on human concepts.

This study reveals brain activity differences during engaging tasks and waiting periods.

Research investigates predicting behavioral traits from brain activity data.

This article examines the impact of neural networks on data shape and classification.

A look at Centered Kernel Alignment's role in comparing neural networks and brain data.

This article explores how ion channels shape neuron behavior despite variability.

Innovative methods could reshape how we analyze and apply biological data.

Analyzing RNA structure dynamics for better biological understanding.

Study examines ChatGPT's effectiveness in explaining complex cancer reports to patients.

This article examines the relationship between Petri nets and ODEs in epidemiological studies.

A look at how biological models work together to reveal system interactions.

Dareplane offers solutions for effective adaptive deep brain stimulation experiments.

Learn how GitHub improves organization and teamwork in lab research.

Biorecap helps researchers summarize recent studies for efficient information access.

A novel approach enhances understanding of biological inheritance over generations.

A study on how traits spread in structured populations considering environmental factors.

Examining how cooperation and defection evolve in interlinked communities.

Exploring the impact of including synonyms on language relationships.

Examining chaotic behavior in biodiversity through Lotka-Volterra and May-Leonard models.

This article explores how mathematical models help predict disease outbreaks.

A new approach to understanding antibody responses aids public health decisions.

This article compares methods of identifying species in wildlife monitoring.

Research focuses on stopping harmful wave patterns in biological systems.

ApisTox offers crucial insights into pesticide effects on honey bees.

An innovative model sheds light on how birds fly together in flocks.

A method for identifying relevant features in subsets of data.

CACTUS combines LLMs and cheminformatics to aid drug discovery and molecular analysis.

New method enhances image analysis for cancer research.

This article explores how mathematical models help predict disease outbreaks.

A new approach to understanding antibody responses aids public health decisions.

Examining how DNA and proteins interact affects gene regulation.

A look into the complexity of gene expression and its variable nature.

Centrosomes manage microtubules and are crucial during cell division.

Exploring the effects of noise and transcriptional bursting on gene networks.

Research reveals how proteins can be influenced by THz waves for medical applications.

Study reveals how proteins influence membrane shapes and cellular functions.

Exploring the transport of dense-core vesicles in nerve cells of roundworms.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

New method enhances image analysis for cancer research.

A novel method using cantilevers for quick tumor diagnosis.

Research on oncostreams offers insights for better glioma therapies.

Graph Neural Networks enhance histopathological image analysis, improving disease diagnosis.

Learn how PhysiBoSS simplifies complex biological modeling for researchers.

New framework improves genetic biomarker prediction in colorectal cancer using whole slide images.

Exploring how cells interact on curved surfaces can enhance tissue engineering and understanding of biological processes.

A novel software tool enhances the study of heart cell movement and drug effects.