Technology Networks

AI Models for Protein Function Prediction

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
Technology Networks

Machine Learning Applications in Proteomics

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
EurekAlert!

Deep learning enhances accuracy and efficiency in protein structure prediction

This review provides an overview of traditional and modern methods for protein structure prediction and their characteristics and introduces the groundbreaking network features of the AlphaFold family ...
The Scientist

Insights Into Protein Engineering: Methods and Applications

Protein engineering is a powerful biotechnological process that focuses on creating new enzymes or proteins and improving the functions of existing ones by manipulating their natural macromolecular ...
The Scientist

From Symphony to Structure: Listening to Proteins Fold

When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...
The Conversation

Google Deepmind founder shares Nobel prize in chemistry for AI that unlocks the shape of proteins

Matthew Addicoat receives funding from EPSRC and the Royal Society. Using computers to carry out protein design and for predicting protein structures are two sides of the same coin. They are ...