Quantitative Biology

A new model enhances antibody design by combining generative techniques and physics.

SCEPTR offers a new way to predict TCR specificity using sparse data efficiently.

A novel approach enhances aptamer search while reducing data dependency.

Exploring the role of active learning in drug discovery through molecular docking.

MV-Mol integrates diverse data sources for improved molecular understanding.

New methods improve molecular simulations and interactions for better accuracy.

A new framework improves molecular graph generation techniques for drug discovery.

CBGBench offers a structured approach to enhance drug design and evaluation.

PARADIGM integrates diverse cancer data for improving patient survival predictions.

Learn how PhysiBoSS simplifies complex biological modeling for researchers.

Exploring how cells interact on curved surfaces can enhance tissue engineering and understanding of biological processes.

Learn about microswimmers and their unique interactions with fluids and surfaces.

Exploring how cells grow, interact, and shape living organisms.

This model simplifies how electrical signals operate in excitable cells.

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

Study reveals how leukemia cells adapt to nutrient scarcity.

STimage-1K4M combines detailed images and gene data to enhance disease research.

A new system aims to improve speed and efficiency in analyzing genetic data.

CGRclust offers an innovative method for classifying DNA sequences without prior labels.

SeqMate makes RNA sequencing data processing easier for biologists.

Using Genetic Programming to enhance DNA sequence analysis and predictions.

Scientists develop a rapid approach to assess protein fitness effectively.

New counting techniques improve analysis of large genomic datasets.

New model CFGen improves synthetic single-cell data generation for better research insights.

A look into how frequency response helps study biochemical networks.

WENDY simplifies gene regulatory network inference using minimal time-point data.

Bacterial sensors use engineered bacteria to monitor health and environmental conditions.

A focused model to analyze E. coli metabolism for research and applications.

Exploring the effects of noise and transcriptional bursting on gene networks.

Research reveals how proteins can be influenced by THz waves for medical applications.

A look into how Boolean networks model biological interactions.

Exploring how epigenetic memory influences traits across generations.

A new algorithm enhances the analysis of calcium imaging data in real-time.

Exploring place cells and their interactions may enhance navigation systems and AI.

A study on improving neural network training with non-differentiable activation functions.

Research shows how self-attention enhances neural response modeling in deep learning.

Research reveals how noise aids the brain's statistical learning process.

New device uses fNIRS to reconstruct images from brain activity.

This article discusses how neuron models help analyze complex brain activity.

Exploring how mental actions may affect ion scattering in neurons.

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.

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.

Using advanced models to predict mosquito populations more accurately.

A fresh approach linking individual and population behaviors for better disease spread predictions.

Examining how species relationships shape ecosystems and influence survival.

This study reveals how recessive genes impact mutation rates and population stability.

Research shows local awareness plays a key role in managing disease outbreaks.

Learn how structured models help study organism relationships and disease dynamics.

A look into how plant and animal traits change over time.

Investigating how mixing strategies enhances cooperation among individuals.

A new dataset and benchmark improve protein sequence analysis using AI.

A new model enhances antibody design by combining generative techniques and physics.

A new algorithm enhances the analysis of calcium imaging data in real-time.

COMPASS method addresses noise issues in molecular docking, enhancing drug discovery.

Introducing CrEIMBO, a method for better understanding neural interactions across brain recordings.

Learn how structured models help study organism relationships and disease dynamics.

NovoBench provides a structured framework for evaluating peptide sequencing methods.

A look into how frequency response helps study biochemical networks.

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.

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

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.

A novel software tool enhances the study of heart cell movement and drug effects.

Research reveals effective defibrillation methods using significantly less energy.

Investigating the role of Fibonacci numbers in sunflower seed patterns.