MULTI-evolve accelerates protein engineering with machine learning
The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible...
Protein
Machine learning method improves accuracy of inverse protein folding for drug design
Mask-prior-guided denoising diffusion (MapDiff) for inverse protein folding. Credit: Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01042-6 An AI approach developed by...
Deep learning method identifies transition states in protein conformational changes
Schematic representation of TS-DAR for transition state identification. Credit: From: Exploring transition states of protein conformational changes via out-of-distribution detection...
Deep learning techniques transform protein structure prediction
In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques...
Editorial: Feature Representation and Learning Methods With Applications in Protein Secondary Structure
In recent years, the rise of machine learning methods, especially deep learning, had greatly promoted the development of prediction of...
