Quantitative Biology

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.

New methods enhance quality and diversity in scientific data collection.

Abl1 kinase is vital in managing cellular processes and cancer development.

This article explains amyloid fibrils and their link to various diseases.

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.

Learn about microswimmers and their unique interactions with fluids and surfaces.

Exploring how cells grow, interact, and shape living organisms.

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.

A new system aims to improve speed and efficiency in analyzing genetic data.

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.

Techniques improve how we select biomarkers for biological systems.

A new approach enhances the generation of molecules for drug response prediction.

SMART helps scientists simulate and understand cell signaling processes.

Researchers use deep learning to classify unique serotonergic neurons in the brain.

Researchers analyze neural connectomes to learn about brain function across species.

Researchers use Brainscore to evaluate AI models against human brain activity.

DemoVAE model aims to improve fMRI data analysis by controlling for demographic factors.

An overview of brain decoding methods and their societal implications.

Explore the role of memory and context in improving machine learning.

DSAM offers a fresh perspective on brain connectivity using advanced deep learning techniques.

A closer look at backpropagation's role in machine and biological learning.

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.

Examining how ecosystem connections impact stability and biodiversity.

Environmental shifts can drive evolution and diversity in living organisms.

Learn about phylogenetic trees, their structure, and their significance in various fields.

Exploring how degrade-and-fire oscillators synchronize in biological systems.

Learn about the factors influencing forest insect outbreaks and their management.

Research reveals competing pathogen strains can coexist, challenging traditional epidemiological views.

This study reveals how memory influences Brownian motion in confined spaces.

Research links thermodynamics and evolution using computer simulations to study organism adaptation.

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

WISER enhances cancer treatment predictions through innovative data techniques.

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

A new method enhances molecular learning by considering atom relationships.

DemoVAE model aims to improve fMRI data analysis by controlling for demographic factors.

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

Introducing Prompt-DDG to enhance understanding of protein mutation effects.

Research reveals complex interactions between healthy and toxic prions in brain diseases.

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.

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

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.

Research reveals effective defibrillation methods using significantly less energy.