Latest Articles for Protein Research

A new method enhances protein analysis through improved X-ray diffraction data.

PairK improves prediction of protein interactions by focusing on short motifs.

New framework enhances protein models using rich annotations for accurate predictions.

Study reveals how phase separation affects the structure of disordered proteins.

Research reveals how proteins transmit signals through structural changes.

Research reveals improved techniques for extracting membrane proteins in natural settings.

A new method enhances drug discovery targeting protein kinases.

VespaG efficiently predicts how protein mutations impact function and stability.

CryoTEN enhances cryo-EM map quality using deep learning methods.

This article discusses overcoming challenges in purifying proteins from nanoparticle samples.

CryoSPHERE improves protein shape reconstruction from cryo-EM images using machine learning.

New incremental search methods improve efficiency in protein sequence databases.

A novel approach to understanding protein stability using amino acid sequences.

BICePs improves molecular behavior predictions by refining model parameters using experimental data.

A new model predicts nanobody thermostability using limited data.

New ligands enhance protein research and understanding.

A new tool for evaluating protein structure learning methods.

Researchers develop sulfonated dyes for precise protein labeling on cell surfaces.

Research reveals how phosphorylation affects protein structure and function.

SeaMoon offers a fresh method to analyze protein dynamics using only sequence data.

Research explores how iLOV protein aids in studying bacterial motor function.

New methods enhance protein labeling for scientific research.

New methods improve protein structure analysis and classification accuracy.

New collagen sheets mimic natural blood vessel behavior, aiding tissue engineering.

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

New insights into how Themis affects T cell development and immune response.

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

New method improves efficiency in studying protein structures and interactions.

HERMES predicts the impact of protein mutations on stability and function using 3D structures.

New method GENBAIT improves protein subset selection for cellular studies.

Pool PaRTI enhances protein analysis by improving data representation and biological insight.

Researchers develop DiDBiT-TMT to improve protein synthesis analysis in memory studies.

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.