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 ...

Mining millions of AI-predicted structures reveals an evolutionarily conserved protein that resembles a receptor family ...

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

Open-source structure prediction models are now freely licensed for commercial use, and the largest chipmakers are packaging them as ready-to-deploy inference microservices that can be launched from a ...

("Talus Bio"), an AI-native therapeutics company, today released Ptarmigan-1, the first structure-free model that can accurately predict small molecule binding sites across the entire human proteome, ...

What you can learn from this article• On September 30, 2026, Google DeepMind announced 'SynthID Bio,' a suite of methods for ...

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