Quantitative Biology

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

A-GFNs use atoms to create new drug-like molecules, improving drug discovery.

New tokenizers enhance molecular modeling by improving representation of chemical structures.

Enhancing usability and reproducibility of drug response prediction in cancer research.

GIFFLAR improves glycan property predictions using graph neural networks.

New methods improve RNA distance predictions using advanced machine learning techniques.

Discover how training-free guidance is transforming molecular generation with discrete diffusion models.

GameOpt innovates protein design through efficient optimization techniques.

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.

Learn about capsular contracture, its causes, and how it affects breast reconstruction.

This article discusses how scientists study heart rhythms and arrhythmias.

wgatools streamlines whole genome alignment with versatile tools for researchers.

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

Discover how RNA-GPT is revolutionizing research on RNA and its functions.

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

Researchers develop a faster method to predict how cells react to treatments.

K-mers help scientists piece together DNA fragments for better microbial understanding.

Shapley values enhance decision-making in DNA profiling and related fields.

New methods improve RNA assembly efficiency and accuracy using safe paths and sequences.

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

Explore how networks evolve using duplication-divergence models and divergence asymmetry.

A fresh approach to control biological populations using Kullback–Leibler divergence.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Study reveals how Q phage adapts to different temperatures via genotype networks.

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

Learn how gene regulation works using a restaurant analogy.

A look at how technology helps chemists find efficient reaction routes.

A fresh approach sheds light on how memory works in the brain and heart.

Question order and framing can significantly skew polling outcomes.

Exploring how emotions and fairness affect financial decisions in game scenarios.

Research highlights working memory constraints in Transformer models during complex tasks.

AI is transforming how researchers create virtual cells to study biological processes.

A new model improves identification of brain disorders using innovative network analysis.

A new method improves decision-making analysis with neural networks in Bayesian frameworks.

Examining the rates at which the brain's nerve cells process information.

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.

This article discusses the connection between mass-action and network models of disease spread.

New methods improve tracking and response to disease outbreaks.

New SIR model enhances disease prediction and public health response.

This article discusses the importance of transient dynamics in ecosystems.

Exploring how punishment helps maintain cooperation in challenging situations.

This article examines epidemic modeling with multiple regions and population movement.

Exploring how mating preferences drive the formation of new species.

Research reveals potential for land plants to adapt longer to climate changes.

A new index helps researchers study animal behavior more accurately.

Learn how Langevin dynamics improves parameter estimation over traditional methods.

Study shows staining variations hinder deep neural networks in cancer prediction.

New methods improve accuracy in prostate cancer diagnosis through advanced tissue analysis.

A look into microbiomes and their significance in health through metagenomics.

New methods enhance RNA sequence generation and optimization, impacting gene regulation.

Study reveals how anxiety affects responses to digital treatment for depression.

New technologies aim to improve care for patients with rare gynecological cancers.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

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

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.

Learn about capsular contracture, its causes, and how it affects breast reconstruction.

Discover how zebrafish form their unique stripes through cell interaction.

Examining heart cell differences can improve cardiac modeling and health care.