Quantitative Biology

This study evaluates scoring functions for predicting protein interactions based on physical features.

New methods improve how scientists predict protein-binding interactions.

A novel method enhances drug-target prediction using machine learning techniques.

A fresh approach reveals how proteins bond in cell membranes.

New approach enhances generative models for efficient compound discovery.

A new approach to design molecules based on cellular effects.

CryoBench helps enhance cryo-EM method evaluation with diverse datasets.

DeepChem's updates make it easier for scientists to generate new molecules.

Explores how randomness in protein production stabilizes the N/C ratio in cells.

Study reveals how leukemia cells adapt to nutrient scarcity.

Explore how cells move in response to chemical signals and its significance.

This study reveals how cells maintain movement despite barriers.

Exploring how cells move together and communicate during biological processes.

Researchers aim to model how cells grow and specialize.

Amoeboid cells use pseudopods to make movement decisions based on chemical signals.

A new model enhances understanding of how bacteria grow and thrive.

A new model predicts barley flowering time and grain yield using genomic and environmental data.

A new dataset combines DNA sequences and enzyme function descriptions to enhance predictive models.

GV-Rep aims to improve the analysis of genetic variants for patient care.

Research reveals how machine learning can enhance understanding of schizophrenia's genetic factors.

A comprehensive guide for writers preparing articles for Oxford University Press.

A new method improves predictions of gene expression using gene regulatory networks.

This study introduces a method to better classify cancer subtypes using omics data.

Research shows meta-learning improves lung cancer detection using gene expression data.

Analyzing neural motifs in C. elegans reveals insights into nervous system function.

This article examines how bacteria use cAMP for environmental response and adaptation.

Exploring gene regulatory networks and their importance in cell function and stability.

New models improve understanding of gene activity and cell classification.

A new method improves predictions of gene expression using gene regulatory networks.

A groundbreaking quantum algorithm improves the search for attractors in gene regulatory networks.

This article explores the role of reaction networks in biological processes and sensitivity analysis methods.

Discover how active learning optimizes experiments in biological research.

Research shows promise in using speech data to identify Parkinson's Disease early.

Research reveals how Alzheimer's impacts brain networks and connectivity.

Research explores single-channel EEG systems for improved brain-computer interfaces.

A new system enhances brain MRI reporting for radiologists.

An overview of synergy measurement in complex systems, focusing on neuroscience.

A study of brain networks across humans, fruit flies, and mice reveals unique connection patterns.

Exploring how organisms learn to ignore repeated stimuli.

Explore how our movements influence future actions based on past experiences.

A look at how biological models work together to reveal system interactions.

Dareplane offers solutions for effective adaptive deep brain stimulation experiments.

Learn how GitHub improves organization and teamwork in lab research.

Biorecap helps researchers summarize recent studies for efficient information access.

This article outlines the essentials of a successful benchmarking system in bioinformatics.

F-BIAS connects analysts and researchers to improve bioimage analysis services.

Learn about new methods for improving microscopy image clarity using AI.

A new system simplifies benchmarking for better tool evaluation in bioinformatics.

A look into how evolutionary games shape behavior and strategies across various fields.

Analyzing how public behavior influences the cycles of pandemics.

New methods aim to improve accuracy in measuring genetic change across species.

This study reveals how perception impacts cooperation in diverse scenarios.

Examining how cooperation evolves using reinforcement learning in public goods games.

A new hybrid model combines two approaches for better disease spread insights.

A new model improves understanding of vaccination responses during the COVID-19 pandemic.

A new method uses images to study species’ traits and evolution.

A new model helps predict ventilator needs, improving patient care in ICUs.

Research reveals how Alzheimer's impacts brain networks and connectivity.

A look at how action segmentation improves our understanding of animal behaviors.

Analyzing how public behavior influences the cycles of pandemics.

Research reveals how machine learning can enhance understanding of schizophrenia's genetic factors.

Exploring difficulties in predicting MGMT status using MRI in glioma patients.

VariantKG aids researchers in analyzing genetic data and understanding health impacts.

Exploring the impact of soil organic carbon on soil health and agriculture.

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

Research reveals how Mycobacterium tuberculosis interacts with mitochondrial functions.

Investigating how cells decide their roles in a complex biological environment.

Introducing GP-VLS, a model enhancing surgical practice through integrated vision and language.

Wearable devices and algorithms aim to detect sepsis earlier for better patient care.

Research focuses on improving interface stability in solid-state batteries for cleaner transportation.

Study explores interactions between biodegradable and permanent implants for improved bone healing.

Learn how cysts respond to pressure and their implications in medicine.

HIPPO method enhances comprehension of AI models in tissue analysis.

Adaptive therapy offers a new approach to managing drug-resistant cancer cells.

This article examines how epithelial cells behave under compression.