Latest Articles for Computational Biology

RNAformer improves accuracy in RNA secondary structure prediction using deep learning.

OneProt combines various data types to enhance protein research efficiency.

POSH offers faster, more efficient protein similarity searches.

eQual offers a faster way to analyze molecular dynamics data effectively.

New tool predicts receptor activities, improving cancer treatment insights.

AIDA improves antibody design by predicting sequences using structural information.

Researchers aim to streamline bioinformatics workflows for easier access and usability.

Machine learning models enhance our understanding of viral protein interactions.

Plastic Arbor aids researchers in studying synaptic plasticity and neuron dynamics.

NucleoSeeker helps scientists curate high-quality RNA structure datasets for better predictions.

Uncovering the impact of RNA modifications on protein interactions.

Discover how DNA's breathing dynamics influence gene activity and cellular processes.

A fresh approach to managing genomic data using super-k-mers for better efficiency.

New methods refine the assessment of variant effect predictors in protein function.

Discover how GeSite improves predictions of nucleic acid-binding residues.

Introducing RNA-TorsionBERT for improved RNA angle predictions and quality assessment.

Scientists use Protein Language Models to reveal protein functions and connections.

scRegNet combines models to improve predictions of gene interactions.

FlowDock revolutionizes protein-ligand interactions for faster drug development.

Discover how EnsembleFlex revolutionizes protein flexibility research.

New tool SCOPER enhances RNA shape modeling using SAXS data and ion predictions.

scVital connects mouse and human cancer data for better treatment insights.

A new model sheds light on gene regulatory networks and disease understanding.

Learn how ChromBPNet predicts gene regulation through chromatin accessibility.

New models improve how scientists predict protein shapes and interactions.

A novel framework improves predictions in drug discovery by analyzing cellular responses.

New model Progres speeds up protein structure searching for better analysis.

Discover how combining CUDA and MPI improves DNA sequence alignment efficiency.