Quantitative Biology

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.

Genie 2 enhances protein design with AI, enabling complex structures and functions.

Saturn improves drug discovery by efficiently generating effective molecules for treatment.

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.

This model simplifies how electrical signals operate in excitable cells.

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.

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.

Investigating the complex circadian clock system in Arabidopsis thaliana.

A look into how frequency response helps study biochemical networks.

WENDY simplifies gene regulatory network inference using minimal time-point data.

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.

Emulator Theory offers a fresh way to study brain behavior and consciousness.

Research shows neurons can adjust firing rates to process information swiftly.

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.

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.

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

A new method improves predictions of disease dynamics using mixed modeling approaches.

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.

Introducing MAGE: an innovative approach to explain Graph Neural Networks in chemistry.

SMART helps scientists simulate and understand cell signaling processes.

New model enhances prediction accuracy for hydrophobic patches in proteins.

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.