Quantitative Biology

This research presents a combined approach for quicker protein movement simulations.

This article examines how simple autocatalysts grow and compete in chemical systems.

FraGNNet improves mass spectrum prediction for better compound identification.

UnifyImmun predicts antigen binding, enhancing cancer immunotherapy effectiveness.

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.

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

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.

A look at how BRAKER and Galba improve gene annotation in genomes.

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.

Exploring how molecular networks produce essential biological molecules.

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

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.

Examining how quantum algorithms can enhance our understanding of neural networks.

Researchers enhance ridge regression training efficiency for brain imaging analysis.

Understanding hippocampus shape changes aids in neurological research and potential treatments.

A new approach improves decoding of brain signals for better device control.

BCIs offer new ways for users to control devices through brain signals.

This study links arousal levels to sound discrimination efficiency in mice.

Research highlights how male and female brains function differently.

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

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.

Researchers reveal patterns in complex microbial ecosystems for better predictions.

Explore the factors affecting infection probability and the role of heterogeneity.

Examining how individuals and groups work together for mutual benefit.

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.

This library offers an efficient way to calculate molecular fingerprints for chemists.

Researchers enhance ridge regression training efficiency for brain imaging analysis.

Using social media and AI to track adverse side effects.

A new automated method enhances protein fitting from cryo-EM images, improving speed and accuracy.

This article presents a new approach for selecting significant subgraphs in various fields.

Riemannian L-systems offer new insights into plant growth in curved spaces.

New insights into drug delivery for better vision care.

Exploring how transformer models enhance molecular property predictions across various fields.

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.

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

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.