Quantitative Biology

A new approach enhances protein docking accuracy and speed.

MolCode combines 2D and 3D data for better molecule creation.

Explore how spontaneous mutations influence genetic information and evolution.

This research focuses on predicting drug synergy using advanced language models in rare tissues.

SILVR simplifies the creation of new drug candidates using machine learning and known fragments.

Exploring how molecular motors function and their implications for technology and medicine.

MoCoP combines molecular and cellular data to enhance drug discovery predictions.

MUDiff combines 2D and 3D data for better molecular design.

Explores how cells switch between growth and dormancy based on environmental conditions.

Study reveals how cells navigate curved environments with a simple model.

Examining how bacteria adapt their growth tactics based on environmental changes.

Research enhances iPSC growth through metabolic modeling for better therapies.

This study examines how bacteria move in a confined space and fluid.

This study examines how oncolytic viruses behave in different tumor environments.

A look into how cells navigate and move in their environment.

FP-IRL blends physics with IRL to reveal agent motivations in complex systems.

New study reveals potential genetic markers linked to Parkinson's disease.

ViralVectors streamlines the analysis of vast viral genetic data for better public health decisions.

DiscoGen improves gene regulatory network analysis by cleaning noisy data for better inference.

A method combines images and gene data to improve cancer survival predictions.

A guide on addressing missing data in single-cell protein studies.

GeneGPT enhances language models for accurate genomic answers using NCBI APIs.

New algorithm improves understanding of complex satellite DNA structures.

Introducing Virus2Vec, a method for faster virus classification without alignment.

Uncovering complex relationships in biological systems for better health outcomes.

DiscoGen improves gene regulatory network analysis by cleaning noisy data for better inference.

Efforts to improve the accessibility of scientific models for better collaboration.

New research reveals how bursts in transcription affect gene expression and protein production.

Examining how resilience impacts the reliability of biological components.

Exploring the dynamics of chemical reaction networks influenced by external environments.

Research enhances iPSC growth through metabolic modeling for better therapies.

This article investigates how biological systems manage noise and variability.

A look at how machines learn decision-making under uncertainty.

A new approach in training neural networks uses random signals for learning.

Investigating how learning consumes energy and strategies for improved efficiency.

MARBLE simplifies neuron data analysis, enhancing understanding of brain functions.

Childhood maltreatment leads to lasting changes in brain structure and function.

A study on how EEG signals can aid wheelchair movement for people with disabilities.

Researchers develop a new method using EEG data for Alzheimer's diagnosis.

This paper explores mathematical models of brain function and neural networks.

A look at the importance and challenges of software evaluation in the scientific community.

Exploring how AI can generate new potion recipes at Hogwarts.

A look at how variation impacts evolution and biological complexity.

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.

A study on how tuberculosis affects Burundi's population and the importance of treatment.

This article discusses how migration and competition shape population evolution.

Learn how B cells recognize and respond to harmful antigens.

An in-depth analysis of how cooperation evolves in networks.

Examining the role of behavior changes in promoting teamwork.

Understanding R0 is vital for predicting disease spread.

Examining how resilience impacts the reliability of biological components.

Examining how organisms make decisions amid uncertainty and risk.

Study of active matter reveals new insights through simulations and data analysis.

Reviewing AI methods for predicting protein behavior and their biological importance.

MARBLE simplifies neuron data analysis, enhancing understanding of brain functions.

This article explores how information impacts the survival of resource-gathering agents.

A groundbreaking model enhances molecular representation for drug development.

Research reveals an efficient method to predict coronavirus hosts from spike protein sequences.

Researchers develop a new method using EEG data for Alzheimer's diagnosis.

A method combines images and gene data to improve cancer survival predictions.

Learn how B cells recognize and respond to harmful antigens.

Loops significantly influence chromatin movement and gene expression.

Exploring how microtubules shape cells and organize through motor proteins.

Explore how IRE1 clusters help cells manage protein folding issues.

Examining how chromatin structure affects cellular functions and disease connections.

Mitochondria arrange themselves to optimize ATP supply in nerve cells.

A look at how motor proteins ensure efficient cargo movement in cells.

Research reveals complex dynamics of LHCII proteins and energy management in plants.

New findings on heart models can improve pacemakers and defibrillators.

A method combines images and gene data to improve cancer survival predictions.

Research reveals how noise influences heart rhythm stability in atrial fibrillation.

A look into brain organoids reveals differences in human and primate development.

A new tool streamlines the measurement of stomata, enhancing plant research.

Researchers develop a model to better understand heart fiber behavior and improve treatments.

A look at how cells interact to form stable structures in tissues.

Examining how cancer cells spread and change within the body.