Quantitative Biology

GIT-Mol integrates graphs, images, and text for better molecular data handling.

Exploring the role of chatbots in developing treatments for cocaine addiction.

DiffHopp improves drug discovery by generating novel molecule structures for better efficacy.

This article discusses challenges and innovations in drug design using advanced technologies.

Researchers explore innovative techniques for predicting protein structures and dynamics.

A novel approach leverages protein language models to enhance interaction predictions.

This study evaluates advanced GNNs for generating molecular graphs more effectively.

Language models are reshaping how proteins are designed for medicine.

This article examines how surface structure influences cell movement during migration.

A look at how Bacillus subtilis adapts through motility and biofilm formation.

Turing instability alone does not ensure lasting patterns in biological systems.

Research connects discrete and continuous models to study pigment cell patterns in zebrafish.

This study investigates how bacteria move based on environmental factors using experimental data.

Study reveals how yeast influences bacterial movement and growth on surfaces.

Exploring how stem cells change into various cell types and its significance.

A new model reveals insights into how cells migrate in response to fluid flow.

A new method improves accuracy in analyzing noisy biological sequences.

A novel approach enhances the quality of noisy biomedical labels.

Real-time processing in nanopore sequencing improves accuracy and reduces costs.

New measures provide insights into directed graphs in biological systems.

New methods improve accuracy in matching DNA sequences to reference genomes.

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.

Explore the significance of distributive phosphorylation in cellular processes.

Discover the intricate process behind our sense of smell and its implications.

Study biochemical interactions with mathematical models and network operations.

A look at how Bacillus subtilis adapts through motility and biofilm formation.

StructRecon integrates molecular data for clearer research insights.

A complete manual for preparing articles using a journal template.

This article examines fluctuations in gene expression within feed-forward loops.

Study of yeast kinases sheds light on cell signaling.

Research reveals neural networks can disrupt human image categorization more than previously thought.

Exploring advanced models to understand brain dynamics over multiple time scales.

A flexible approach to study complex oscillator interactions and stability dynamics.

The study reveals increased brain connectivity in older adults over two years.

This study reveals how brain activity affects memory and memorability of experiences.

Explore the dynamics and significance of oscillatory networks in various fields.

New model reveals how cognitive maps work together in the brain.

A study reveals important trends in how babies' brains grow and connect.

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.

Investigating the dynamics of predator and prey populations through mathematical modeling.

A new method improves analysis of complex systems by focusing on clusters.

Study reveals how fluctuations in infection rates affect outbreak sizes.

Analyzing Covid-19 dynamics offers valuable insights for future health crises.

Exploring how variability in offspring impacts evolutionary processes.

Analyzing long edges in Galton-Watson trees reveals key population dynamics.

Exploring the challenges of controlling P. vivax malaria and the role of models.

A look into how forest fires spread and their impact on the environment.

Research improves seizure prediction accuracy through EEG analysis and feature selection.

A simplified approach to estimate disease prevalence using pooled and individual tests.

Using data and machine learning to predict structural changes in biology and engineering.

Investigating how fish interact with robotic lures reveals gaps in mimicry.

A fresh approach enhances prediction accuracy in drug discovery using bioactivity data.

This method improves brain disorder detection while keeping patient data secure.

Machine learning models can tailor drug dosages for better transplant outcomes.

A new method enhances continuous models using discrete simulation data in biological research.

This article examines how surface structure influences cell movement during migration.

A look into how particle clusters form and impact cell function.

Investigating how the cytoskeleton responds to stress in cells.

This study examines how rare events occur in systems with random walkers.

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.

Exploring the development and importance of artificial blood vessel networks.

A new method improves microscopy images, enhancing clarity while preserving vital details.

New models reveal complexities of cancer growth and treatment strategies.

Exploring personalized strategies to enhance cancer treatment and outcomes.

Turing instability alone does not ensure lasting patterns in biological systems.

Research explores machine learning techniques to study soft material behaviors.

Exploring how breathing patterns affect heart function in atrial fibrillation patients.

A look into nociplastic pain and strategies for effective management.