Latest Articles for Computational Biology

MidSurfer simplifies mid-surface extraction for biological research, enhancing data analysis.

A look at how BRAKER and Galba improve gene annotation in genomes.

FastqZip offers efficient storage solutions for the growing volume of genetic data.

Tiberius improves gene prediction accuracy using deep learning and biological context.

Researchers present a novel approach to identify errors in protein models.

This study explores machine learning methods for classifying different types of networks.

RegDiffusion offers a new method for understanding gene interactions effectively.

New methods improve prediction of hemolytic peptide toxicity for safer drug development.

This article examines how diversity influences genetic algorithm efficiency, especially in the LeadingOnes problem.

New methods improve prediction of protein regions lacking stable structure.

New methods improve the understanding of protein interactions for drug discovery.

VN-EGNN improves drug development by enhancing binding site identification on proteins.

PTF-Vāc improves accuracy in predicting transcription factor binding sites across species.

Streamlined techniques in k-mer analysis enhance sequence comparison efficiency.

New method combines phylogenetic tree and network for improved analysis.

This research links gene regulation to stem cell regeneration and its implications.

ScaleFold drastically reduces training time for protein folding models.

A new tool improves tracking of microtubules in cell studies.

CNFs use differential equations to model complex probability distributions effectively.

A novel approach using Voronoi diagrams enhances cell simulation accuracy and efficiency.

A new method improves community detection in dynamic networks.

New software aids in understanding protein flexibility for better drug development.

Recent studies question the reliability of computational protein structure predictions.

Explore how Kinetic Diagram Analysis simplifies the study of complex biological systems.

An innovative model sheds light on how birds fly together in flocks.

Using GNNs to identify multifunctional proteins enhances biological research.

Efficient algorithms and heuristics for evaluating scanwidth in directed acyclic graphs.

A new method enhances drug discovery targeting protein kinases.

New polynomial filters improve graph analysis performance across various applications.

Researchers present a fresh approach to aligning vast bacterial DNA sequences.

New model improves cell cycle analysis with 3D imaging techniques.

Introducing Prompt-DDG to enhance understanding of protein mutation effects.

Examining how rescaling affects genetic simulation results and findings.

A new method for identifying local causal relationships in data.

LFIS offers a systematic method for sampling from complex distributions.

New model enhances prediction accuracy for hydrophobic patches in proteins.

VespaG efficiently predicts how protein mutations impact function and stability.

This article discusses methods for sensitivity analysis in biological modeling.

A new method analyzes how proteins behave on cell surfaces.

New incremental search methods improve efficiency in protein sequence databases.