Quantitative Biology

Kermut improves protein variant prediction accuracy by addressing uncertainties in outcomes.

Research reveals RNA misfolding at low temperatures affects its function.

VN-EGNN improves drug development by enhancing binding site identification on proteins.

AI aids in creating drugs to treat brain-related conditions by crossing the blood-brain barrier.

A new tool improves tracking of microtubules in cell studies.

Research reveals how TCR sequences determine antigen recognition and its implications for therapy.

A new model, MolCRAFT, improves drug design by generating realistic molecular structures.

ApisTox offers crucial insights into pesticide effects on honey bees.

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

This research links gene regulation to stem cell regeneration and its implications.

Exploring wave dynamics in special systems reveals insights into biological behavior.

This study examines how Snail and hypoxia influence tumor cell movement and growth.

This article explores how ion channels shape neuron behavior despite variability.

Explore methods for estimating cell numbers using fractions and mathematical models.

Study on how active particles behave during run-and-tumble motion.

Examining cell behavior and interactions in nutrient and waste management.

Research reveals genetic insights into bipolar disorder, aiming for better treatments.

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.

Introducing a method to combine biological datasets for better network reconstruction.

This research links gene regulation to stem cell regeneration and its implications.

Exploring the significance of monotonicity and contractivity in reaction networks.

Researchers study how p53 affects cancer cell energy processing.

Examining how gene duplication and regulation shape evolutionary processes.

Learn how living organisms maintain stability in changing environments.

Research into protocells offers insights into life's origins and synthetic biology.

A new approach identifies stable communities in Hi-C data despite noise.

Research highlights how male and female brains function differently.

A new model explaining how memory can be organized and retrieved.

This article examines how animals represent uncertainty in decisions.

Examining how spike timing impacts brain function and technology design.

A clear framework for discussing the mind-body relationship and its theories.

A new approach to enhance deep learning models against adversarial attacks.

Examining how direct and indirect pathways influence our actions.

Study highlights the significance of temporal parameters in neural network performance.

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.

New models show promise for combining oncolytic viruses and immune therapies in cancer.

Scientists study microbial dynamics to reveal interactions and environmental impacts.

Exploring how landscape layout affects species interactions and survival.

New method combines phylogenetic tree and network for improved analysis.

Examining how diseases spread during conferences and effective prevention strategies.

A look into how populations change through birth and death processes.

A closer look at how group size affects cooperation dynamics.

Analyzing prediction challenges during the mpox outbreak and their implications for future health crises.

Research aims to improve breast cancer treatment by studying tumor surroundings.

Scientists study microbial dynamics to reveal interactions and environmental impacts.

Exploring the role of reaction-diffusion models in various fields.

Research reveals RNA misfolding at low temperatures affects its function.

UPINN enhances our ability to model and predict chemotherapy drug effects.

New methods improve predictions in drug discovery and materials science.

Study finds image registration enhances alignment, but not diagnostic performance.

AI aids in creating drugs to treat brain-related conditions by crossing the blood-brain barrier.

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.

Exploring the transport of dense-core vesicles in nerve cells of roundworms.

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

New method enhances image analysis for cancer research.

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.