Latest Articles for Protein Science

New tools are helping scientists predict protein stability and its implications for health.

Research reveals patterns in how amino acids are utilized by different species.

New methods enhance understanding of protein interactions for drug development.

A new method streamlines protein design and optimization using AI.

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

Kermut improves protein variant prediction accuracy by addressing uncertainties in outcomes.

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

ScaleFold drastically reduces training time for protein folding models.

Research reveals the significant role of Aβ oligomers in Alzheimer’s disease.

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

Recent studies question the reliability of computational protein structure predictions.

Examining how DNA and proteins interact affects gene regulation.

Using GNNs to identify multifunctional proteins enhances biological research.

New methods improve understanding and prediction of protein interactions.

A new approach reveals how proteins function in natural environments.

A study reveals complex interactions in giant axonal neuropathy, opening paths for future treatments.

New model enhances prediction accuracy for hydrophobic patches in proteins.

Genie 2 enhances protein design with AI, enabling complex structures and functions.

This research examines how evolutionary history affects protein sectors and mutational effects.

Exploring the role of diffusion models in biomolecular structure prediction and design.

Research reveals how protein structures impact health and cell function.

A look into the role of light chains in AL amyloidosis.

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

Nanobodies show promise in medical treatments due to their unique stability and binding abilities.

Study introduces a model accounting for mutation interactions in protein evolution.

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

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

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

Research reveals the complexities of protein evolution and the role of epistasis.

DFMDock integrates sampling and ranking to enhance protein docking predictions.

New method predicts drug binding using protein's 3D structure.

A new method for building multi-gene expression systems efficiently.

Discover how scientists are designing new protein structures for various applications.

New methods allow for effective peptide binders from protein sequences alone.

New insights on AlphaFold's ability to predict protein structures and its limitations.

Research unveils important features for selecting successful antigens in antibody production.

A new method predicts therapeutic proteins based on FDA-approved data.

Research reveals how protein interactions at interfaces affect clumping and aggregation.

This study evaluates methods for predicting how mutated peptides bind to proteins.

This study examines how proteins interact with and position in cell membranes.