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.

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

SynthID Bio, Google DeepMind’s protein watermarking system published in Nature on September 30, embeds hidden provenance ...

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

Internal benchmarks show that Ptarmigan-1 can run 5,000x faster than structure-based methods and screen over three billion compounds in a day.

("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 ...

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

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

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 ...

Google DeepMind unveiled SynthID Bio on September 30, 2026, a family of watermarking methods that embeds an imperceptible, ...