Latest Articles for Protein Research

Exploring AI's role in predicting protein structures through copolymer sequences.

New methods enhance understanding of protein charge interactions and behavior.

New machine learning methods improve predictions of allosteric sites in proteins.

Prolfquapp simplifies protein analysis for scientists with user-friendly tools.

A new model enhances predictions of enzyme-substrate interactions, aiding scientific research.

PSALM improves protein domain predictions through innovative modeling techniques.

A new method improves predictions of protein functions using advanced techniques.

BBATProt uses deep learning to improve protein function prediction accuracy.

A new method merges atomic force microscopy with deep learning to improve protein shape prediction.

New methods for protein removal could transform neuroscience research.

Learn how HTS and machine learning shape protein research.

UniScore improves peptide identification in mass spectrometry, enhancing accuracy and efficiency.

A look at AlphaFold2's predictions and potential misinterpretations in protein structures.

Learn how PaSiMap helps reveal relationships in protein sequences.

Research reveals how Tau buildup affects movement and behavior in mice models of PSP.

A new model improves predictions of protein interactions and drug resistance.

drMD streamlines protein simulations, making research more accessible for scientists.

A new model enhances protein analysis by capturing structural information effectively.

Scientists develop AsymPolPOK to improve NMR studies of proteins in living cells.

MMseqs2-GPU accelerates protein analysis and enhances research capabilities.

Researchers develop selective inhibitors targeting BRCC36 for autoimmune disease therapy.

A look at how proteins impact health and disease.

Scientists compete to design and test innovative proteins through collaboration.

A new tool predicts water interactions around proteins for better drug design.

Research reveals new structures of STEP, aiding drug design for neurological diseases.

Researchers reveal insights about proteins linked to electrical synapses and brain function.

TMVisDB offers groundbreaking views of transmembrane proteins for biological research.

Researchers improve protein model training using diverse data and efficient methods.

DockFormer improves predictions of how proteins and small molecules interact.

OneProt combines various data types to enhance protein research efficiency.

Neuronatin impacts calcium flow, linking to health issues like diabetes and obesity.

Cdc42 shapes cell growth through innovative research and techniques.

POSH offers faster, more efficient protein similarity searches.

Research reveals the significance of small proteins and nested genes in bacteria.

NEFFy enhances Multiple Sequence Alignment with speed and efficiency.

CycleDesigner creates unique cyclic peptides for targeted drug development.

inPhase method improves creation of phase diagrams for protein research.

AlphaFold enhances protein modeling accuracy through innovative methods and experimental data integration.

ProtSpace helps researchers visualize protein relationships and evolve classification methods.

DIANovo enhances peptide detection using deep learning techniques in complex biological samples.