Latest Articles for Computational Biology

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

A new approach for better edge classification using topological aspects.

Explore strong screening rules for fast feature selection in complex datasets.

Exploring how quantum computing aids in predicting mRNA structures for medical advancements.

QuickEd improves speed and accuracy in DNA and protein sequence alignment.

A multi-modal approach enhances gene expression predictions in biological research.

New tools improve accuracy in predicting RNA structures crucial for cellular functions.

New software enhances the detection of macromolecules in cryo-ET data.

ERIC offers an efficient way to measure graph similarities with improved accuracy.

A new method simplifies variable selection in large datasets.

Research examines activity patterns in circular QIF neuron networks.

TX-Phase enhances genotype imputation while ensuring data privacy for researchers.

GRASP improves accuracy in predicting protein complexes using experimental data.

A new model improves therapeutic antibody design efficiency and accuracy.

Researching the structure and function of mitochondria for better health insights.

A novel approach reveals the role of higher-order interactions in protein function.

A new tool improves predictions of protein stability at high temperatures.

Exploring differential encoding and its impact on graph learning models.

Learn how PhysiBoSS simplifies complex biological modeling for researchers.

This article examines traditional and protein language model approaches to studying protein evolution.

PlantConnectome connects literature and gene functions for improved plant biology research.

Research focuses on improving brain model accuracy through innovative simulation techniques.

Learn how dimensionality reduction aids scientists in analyzing biological data.

Researchers develop tools to better study unculturable microorganisms and their growth requirements.

A system for recognizing and categorizing medical terms in scientific texts.

A look into how Bayesian optimization addresses high-dimensional challenges.

This study adapts optimization techniques for better performance in Wasserstein space.

DFMDock integrates sampling and ranking to enhance protein docking predictions.

New methods improve protein structure analysis and classification accuracy.

A study on using AI to improve protein sequence design for medical purposes.

Combining CDAWG and SLG for effective pattern matching in compressed text.

GoldPolish-Target improves genome assembly accuracy and efficiency.

Alpha Flow-Lit improves protein shape generation, enhancing efficiency and accuracy.

A novel approach improves how scientists reconcile gene and species trees.

A new approach to simulate chemical reactions and gene expression.

HERMES predicts protein mutation effects, aiding in medical research and drug development.

A new method using dihedral angles may improve protein structure predictions.

New counting techniques improve analysis of large genomic datasets.

A fresh approach combining AI and quantum techniques aims to streamline protein design.

Exploring the significance and applications of leaf powers in graph theory.