Quantitative Biology

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.

Exploring the significance and behavior of biomolecular condensates in living cells.

Exploring how proteins influence each other through DNA interactions.

Understanding osmolytes is key to protein stability in various applications.

A new method improves efficiency in molecular design, cutting costs and enhancing discovery.

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.

This article examines how cells manage their size during growth and division.

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

A user-friendly tool for analyzing single-cell RNA sequencing data.

A look at the complexities of analyzing genomic data and ongoing advancements.

A new model improves synthetic genetic data for better diagnosis and treatment.

Exploring how changes in genomes impact evolution and biodiversity.

This article discusses new methods for improving cancer detection using gene selection and machine learning.

GTED provides a method to compare genetic sequences through graph representation.

Exploring the links between our microbiome, digestion, and mental well-being.

Research enhances iPSC growth through metabolic modeling for better therapies.

This article investigates how biological systems manage noise and variability.

Exploring Boolean networks and their role in biological modeling and analysis.

Explore RNA's role in biology and its implications for medicine.

Examining the role of IVT in mRNA vaccine development and efficiency.

New framework improves predictions and understanding of enzymatic pathways.

A study on how cell-like creatures evolve through natural selection in a virtual environment.

This article discusses the Michaelis-Menten model and its limitations in enzyme kinetics.

This article examines ChatGPT's working memory and its implications for AI development.

Exploring glutamate's crucial function in brain signaling and neuron interaction.

This article explores how brain connectivity affects schizophrenia symptoms.

A method to improve neural network interpretability and performance inspired by the human brain.

Metastability reveals the dynamic nature of brain states during various activities.

Improving artificial memory systems through new Hopfield networks inspired by biology.

A new tool enhances TMS therapy by offering real-time electric field visualization.

A fresh perspective on how neurons interact and adapt.

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.

Examining how varying growth patterns affect diffusion in biological systems.

This article examines how rising ocean temperatures affect tuna and billfish larvae habitats.

Exploring how species competition shapes ecosystem diversity and coexistence.

Exploring how biological systems maintain stability while adapting to environmental changes.

An overview of important models for managing infectious diseases.

Explore how populations evolve and interact over time.

Examining the impact of data reporting delays on epidemic forecasts.

Phylo2Vec offers a new approach to analyzing evolutionary relationships among species.

Examining services after discharge to prevent hospital returns.

This guide outlines essential steps for writing journal articles effectively.

A new method improves mass spectrum predictions for better molecule identification.

Phylo2Vec offers a new approach to analyzing evolutionary relationships among species.

Using TCR sequences and sparse coding to improve cancer type classification accuracy.

New method improves extraction of bacterial interactions from scientific literature.

A fresh approach to understanding glucose dynamics for diabetes care.

This study assesses the effectiveness of NODEs and UDEs in predicting ecological changes.

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.

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

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.

New methods improve understanding of heart tissue mechanics.

Oxygen levels in tumors significantly influence the effectiveness of radiotherapy.

Investigating how nonlocal interactions shape patterns in biological systems.

Researchers are enhancing CAR T-cell therapy effectiveness against solid tumors.