Quantitative Biology

TargetVAE aims to streamline drug discovery by efficiently generating potential drug compounds.

A new deep learning method improves 3D models from cryo-EM images.

New strategies enhance model validation for complex chemical mixtures.

A look at the latest in retrosynthesis techniques and their impact on drug discovery.

Study shows how protein structures and sequences evolve over time.

A vast dataset of protein alignments to advance research and insights.

A novel approach to render complex DNA structures clearly and efficiently.

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

This study unveils a mathematical method for analyzing tumor and immune cell behavior.

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.

ZIPTF and C-ZIPTF enhance insights in complex data through improved analysis techniques.

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.

Researchers aim to improve gene identification linked to diseases using new methods.

A look at protein interactions and their role in understanding the Omicron variant.

Scientists study protein interactions to better understand and combat malaria.

Research identifies key proteins influencing the Omicron variant through interaction networks.

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.

New methods improve brain activity decoding across different subjects and reduce scan time.

This research explores visual attention mechanisms in the brain and their potential to aid the visually impaired.

Research on reservoir computing focuses on optimizing network designs for improved machine learning.

Study reveals issues with inflated predictions in fMRI research.

Examining how brain learning principles can enhance machine learning algorithms.

Exploring efficient models for similarity matching in machine learning.

Explore the impact of dreams and imagination on our learning processes.

A new method for finding the shortest paths in graphs with matrix inversion.

Balancing economic benefits and environmental health in forestry.

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.

A self-supervised approach enhances multidimensional scaling for biological data.

Learn how metapopulations thrive despite habitat fragmentation and the importance of dispersal.

This study examines how vaccination strategies and population behavior influence disease spread.

Examining fixation time and its impact on species evolution.

A study reveals better ways to plan vaccination distribution during outbreaks.

An examination of how population diversity affects disease spread and public health responses.

New algorithm improves analysis of genetic and geographic data in evolutionary studies.

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

A new method to differentiate health conditions using ECG time series data.

New method enhances group testing efficiency for pathogen detection.

Study reveals issues with inflated predictions in fMRI research.

Understanding species ranks reveals connections vital for ecosystems and conservation.

A new method enhances accuracy in tracking live cells through video analysis.

Research shows how machine learning models can improve accuracy across varied patient groups.

New tool streamlines heart tissue analysis for better disease insights.

AI helps minimize light harm in fluorescence microscopy, improving live-cell observation.

UQSA helps researchers quantify uncertainty in biological models and analyze sensitivity.

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.

Study compares immune reactions to endotoxin via bolus injection and continuous infusion.

This article examines cell adhesion's role in movement and its implications for health.

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.