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Why clinical proteomics faces a mass spectrometry vs. high-throughput profiling dilemma

This Clinical Chemistry and Laboratory Medicine review examines a central challenge in precision medicine: whether medical ...

This protein-engineering breakthrough generates over 10M data points and turbocharges AI in just three days

Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
EurekAlert!

HSE researchers train neural network to predict protein–protein interactions more accurately

Scientists at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a model capable of ...
IEEE

Protein Language Pragmatic Analysis and Progressive Transfer Learning for Profiling Peptide-Protein Interactions

Abstract: Protein complex structural data are growing at an unprecedented pace, but its complexity and diversity pose significant challenges for protein function research. Although deep learning ...
IEEE

A Proposed Interpretable Deep Learning Framework for Mutation-Induced Protein Mislocalization

Abstract: Within cells, the precise localization of proteins is essential for their function, and even minor mutations can misdirect them, disrupting essential biological processes. Protein ...
Frontiers

Deep learning on protein language model embeddings unlocks accurate prediction of protein solubility

Protein misfolding is a major limitation in prokaryotic expression systems, which lack post-translational modifications and exhibit distinct intracellular environments. This severely hinders the ...