Generative Biology

A fundamental shift in therapeutic development, driven by machine intelligence.

We asked the question.

What if… We could generate novel protein therapeutics using new computational tools, without having to discover them through trial and error?

Now we can.

We’ve put technology to work to understand proteins in ways we never could before. 

It turns out… Machine learning algorithms can generate novel sequences for proteins that have never been seen in nature. 

By training The Generate Platform on the entire compendium of protein structures and sequences found in nature—supplemented with proprietary experimental data—we can learn the generalizable rules by which a linear amino acid sequence encodes protein structure and function. 

Using what we’ve learned, we can create entirely new proteins and modalities that expand our ability to treat disease and solve complex biological challenges. This process drastically increases the success rate of and reduces the time required for drug discovery.

We call this innovation generative biology.

Generating proteins unlike anything that exists today.

Our machine learning algorithms analyze hundreds of millions of known proteins, looking for statistical patterns linking amino acid sequence, structure, and function.

Using these learned statistical patterns, we generate custom protein therapeutics—from short peptides to complex antibodies, enzymes, gene therapies, and yet-to-be-described protein compositions.

Shown below: Our process—from observation to analysis to the generation of novel proteins.