Quantitative Biology

FlexVDW improves drug design by accounting for protein flexibility during ligand docking.

A new AI method improves the search for advanced materials across various fields.

New modeling approach improves understanding of zinc protein interactions.

Examining how Imatinib selectively targets the Abl kinase over Src.

Reinforcement learning methods optimize new drug-like molecules for mental health treatments.

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.

MigraR helps researchers easily analyze and visualize cell movement data.

New insights into the unique shape changes of *Choanoeca flexa* reveal evolutionary significance.

Research reveals how EGFR mutations influence lung cancer cell behavior and structure.

Gastruloids provide insights into the early stages of mammalian development.

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.

New methods enhance microbial classification through k-mer distributions and machine learning.

BrST-Net predicts gene activity in breast cancer using standard tissue samples.

Examining gene expression helps clarify connections between genetics and patient outcomes.

A new model improves drug matching for diseases using gene expression data.

BioSequence2Vec simplifies the creation of numerical embeddings from biological sequences efficiently.

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.

Exploring how calcium influences ATP production in cellular processes.

A look at microphase separation and its significance in science.

A look into the dynamics of autocatalytic networks across various fields.

This article explores how pathway modules assist in studying biochemical networks.

Explore how hypergraph animals reveal complex relationships in systems.

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.

Exploring how quantum concepts can enhance our understanding of cognitive psychology.

Exploring how machine learning models improve suicide risk assessment.

The SEAM model links eye movements to sentence processing in reading.

Examining how artificial agents learn and adapt in varied environments.

Researchers use artificial networks to study color mixing and perception.

New methods enhance neuron mapping accuracy for neuroscience research.

Closed-loop neurostimulation could improve treatment for mental disorders by adjusting in real time.

A new method enhances neurostimulation treatment for mental disorders through real-time adjustments.

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.

This research examines how animals learn to find food efficiently.

This study looks at how weather affects COVID-19 cases in England.

Examining Italy's pandemic management mistakes and key insights for future health crises.

Research highlights the behavior of stem cells in blood cancer.

Examining how species evolve by analyzing genetic material and tree structures.

A new method improves parameter estimation in genetic models.

A deep dive into the role of plankton in ocean health.

A new approach to improving PCA through mutual information for better genetic insights.

Learn about the retina's role and advances in vision science.

Space radiation poses serious health threats during long space missions.

A new method enhances the prediction of mass spectra for better compound identification.

MigraR helps researchers easily analyze and visualize cell movement data.

New method combines cardiac MRI and machine learning to assess heart failure risk.

A new method enhances MRI images using deep learning techniques.

A new model improves predictions of protein interactions by considering coevolutionary data.

Study reveals a method to analyze cancer cell populations for better treatment strategies.

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.

Learn about the retina's role and advances in vision science.

Examining how fronts behave in natural systems through reaction-diffusion models.

A new model aims to predict tumor response to immunotherapy in lung cancer patients.

Study shows improved tumour classification with DCE-MRI and data transformations.

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.