Towards Data Science·
For decades, the existence of the hydrophobic core, a region in the 3D structure of proteins where hydrophobic amino acids reside together, has been considered a general property in proteins. What we have found now may extend that model. In particular, the rest of amino acids also seem to cluster together according to their chemical type (polar, acidic, basic, special), specifically in groups of ~8 units. This is what we have come to call the Mosaic Q model. Here is how we found it, along with tools for its quantification and visualization. The post Proteins: A Mosaic Pattern to Rule Them All? appeared first on Towards Data Science.
Read full articleThe process of generating protein activity data (top) and reading the output and training AI models (bottom). Credit: Linqi Cheng/Rice University. By Rachel Leeson Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to optimize a protein function, researchers modify proteins by switching out one of […]
Radical Numerics has raised $50M to build general biological intelligence, an AI system that reasons across DNA, RNA, proteins, and more.
PLUS: Teach your AI agent to edit like you
Using AI tools, the team reworked part of the ribosome to need one less amino acid.
April 22, 2026 — 10x Science today announced the closing of its $4.8 million seed round led by Initialized Capital. The oversubscribed round includes investments from Y Combinator, Civilization Ventures, […] The post 10x Science Raises $4.8M Seed to Build AI That Understands Proteins at the Molecular Level appeared first on AIwire.
