Quantitative Biology

A new method improves drug and material design efficiency.

Examining how virus structures influence infection and genetic material release.

Combining different representations enhances machine learning in protein studies.

A new method enhances drug candidate evaluation by leveraging 3D molecular structures.

Language models enhance efficiency in discovering new molecules for drug development.

Researchers develop a new framework to predict molecular conformations more accurately.

New methods improve RNA design for better stability and functionality.

This study explores machine learning techniques to find new coagulant candidates.

Investigating how cell behavior affects migration and interaction with the extracellular matrix.

This article explores how cell migration is influenced by mechanical properties and vimentin.

This article explores how bacteria adapt to chemical changes in their environment.

Study of swimming organisms and fluid motion in confined spaces.

A new model simulates growth and movement of epithelial cells in tissues.

Improving T cell response predictions through innovative model techniques and data approaches.

This article examines how feedback circuits affect cellular decision-making and stability.

Cell adhesion impacts tissue stability, healing, and cancer spread.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

This study reviews vulnerabilities in AI models used for genomic applications.

TEPI improves genome classification using images and taxonomy-aware techniques.

A deep look into gene regulation and its impact on biology.

Analyzing gene expression data's role in cancer classification through machine learning models.

Explore how genome changes impact evolution and diversity.

PhenoLinker enhances the prediction of gene-phenotype associations using advanced AI techniques.

DiscDiff enhances DNA sequence generation using advanced machine learning techniques.

This article explores how proteins shape the body plan of Drosophila larvae.

A novel approach enhances understanding of complex oscillatory systems.

Exploring how chemical interactions respond to changes in concentration and environment.

A new method to study and manage cellular noise through light-controlled gene expression.

Scientists study yeast communication to enhance information exchange for various applications.

Investigating how physics helps understand genetic networks in living organisms.

A new approach improves predictions in biological pathway analysis.

Microorganisms use chemical signals to find food and avoid danger.

This study highlights the importance of variability in cognitive processes using advanced modeling techniques.

An overview of intrinsic and extrinsic criticality in biological systems.

APIS dataset aids in analyzing stroke lesions using advanced imaging techniques.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

This study examines the relationship between delta and alpha brain waves.

This article explores the role of NMDARs in brain function and predictive tracking.

Exploring how neural networks can mimic human shape recognition skills.

A new approach blends classical ideas with quantum physics to understand concepts better.

A look at how living organisms process information and respond to their environments.

A look at the FitzHugh-Nagumo model and its relevance in various fields.

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.

Exploring how females select mates and its impact on evolution.

An overview of malaria transmission dynamics and modeling approaches.

COVID-19 highlights the importance of fair vaccine sharing worldwide.

Learn about airborne infection risks and factors influencing transmission.

Examining how species interactions influence stability in ecological communities.

A closer look at how biological age impacts health and longevity.

Scientists apply deep learning to assess plant species at risk due to climate change.

A look into the complexities of species networks and gene transfer.

A new model uses ECG data to predict atrial fibrillation risk effectively.

An overview of intrinsic and extrinsic criticality in biological systems.

A new approach enhances the understanding of feature interactions in deep neural networks.

A new method enhances tracking accuracy for moving objects in three dimensions.

NAG2G enhances the process of predicting reactants for compound synthesis.

A new method enhances correlation significance assessments in time series analysis.

A study on how groups form and behave using mathematical models.

This study uses machine learning to assess kidney risk in diabetes patients.

This study examines how nutrient availability affects ribosome production and degradation.

Understanding how ER shape affects molecule movement and target encounters.

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.

Examining how blood flows in small vessels aids in understanding health and diseases.

This study investigates how cancer cells invade tissue using a gelatin model.

Research explores spiral wave interactions and their impact on heart rhythms.

Exploring how sponge chambers optimize water pumping and filtering.

Research aims to improve lung function tests for better diagnosis and treatment.

A new model simulates growth and movement of epithelial cells in tissues.

Researchers develop patient-specific models to better study glioblastoma treatment responses.

A new model predicts inhaled medication distribution in lungs with airway disease.