A new multimodal AI framework called TriCCA-PPI fuses sequence, structure, and functional data through chained ...

A Baylor College of Medicine-led team combined high-throughput proteomics and AI-based structural prediction to discover and ...

A Baylor College of Medicine-led team has developed a strategy that combines the analysis of thousands of proteins with ...

A technology has been developed to embed invisible markers in proteins designed by artificial intelligence (AI), similar to ...

According to MarketsandMarkets™, the AI in Protein Engineering Market is projected to reach USD 3.82 billion by 2031 from USD 1.44 billion in 2026, at a CAGR of 21.6% during the forecast period.

Proteins are not merely linear chains of amino acids; they only perform their biological functions after spontaneously ...

To make AI understand the biological world itself.Microsoft Research has announced a new AI study with a very ambitious goal.The name is Quine.What it aims for is not an AI that writes text or creates ...

Google has been secretly embedding invisible watermarks into images created by AI, as well as text and videos, for the last ...

HHMI Investigator Karl Deisseroth of Stanford University was awarded the 2026 Nobel Prize in Physiology or Medicine for his role in developing optogenetics, which makes it possible to switch on or off ...

BCC Research examines how AI is improving gene transfer technologies through data-driven design, delivery optimization and ...

The SynthID Bio watermark tags AI-designed proteins and matched unwatermarked binders in wet-lab tests on three targets, ...

Google DeepMind has introduced SynthID Bio, a family of watermarking methods designed to tag AI-generated proteins without ...