Generative Biology
A fundamental shift in therapeutic development, driven by machine intelligence.
What if… We could generate novel protein therapeutics using new computational tools, without having to discover them through trial and error?
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 our 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.
Charting a new future of biological engineering and medicine development.
Continual increases in computing power, coupled with an exponential rise in the production of high-throughput biological data, offers scientists a new era of drug discovery and development.
Date | Event |
---|---|
Machine Learning | |
1957 | Description of perceptron |
1986 | Backpropagation paper |
2000s | Rise of cloud computing |
2010s | Rise of modern deep learning |
2012 | AlexNet wins ImageNet |
2014 | First VAE and GAN |
2017 | Flagship explores machine learning for proteins |
Medicines | |
1982 | Recombinant human insulin |
1980s | Transgenic mouse |
1990s | HTP screening |
1997 | First humanized antibody |
2000 | Yeast display for discovery |
2018 | Sales of biologics surpass small molecules |
Biological Engineering | |
1980s | Rise of ‘omics era |
1990s | Invention of NGS DNA sequencing |
1997 | First computationally designed protein |
2003 | De novo design of a protein fold |
2010s | Mass DNA synthesis |
2014 | PDB reaches 100K structures |
2018 | Nobel prize for directed evolution |