Leveraging evolution to engineer biology

We're testing an evolution-based drug discovery model
with an iterative loop of computational prediction
and experimental validation.

Target identification

Mining billions of years of evolution to systematize target discovery

We integrate across evolutionary scales to identify the causal bases of biological traits.

Model selection

Improving outcomes by picking useful research organisms

We're applying our platform to match disease biology with the most human relevant organisms.

Biologics design

Designing proteins from evolutionary principles

We develop statistical models to predict fitness and function. Our closed loop lets us experimentally test predictions and iterate on our models.

Technology development

Building assays and tools to test our predictions

We're developing and deploying organism-agnostic tools to investigate disease mechanisms.

Target identification

Mining billions of years of evolution to systematize target discovery

We integrate across evolutionary scales to identify the causal bases of biological traits.

Model selection

Improving outcomes by picking useful research organisms

We're applying our platform to match disease biology with the most human relevant organisms.

Biologics design

Designing proteins from evolutionary principles

We develop statistical models to predict fitness and function. Our closed loop lets us experimentally test predictions and iterate on our models.

Technology development

Building assays and tools to test our predictions

We're developing and deploying organism-agnostic tools to investigate disease mechanisms.

We publish our work and release open-source tools and resources for the scientific community.

Use our tools

Check out our latest research

Result30 Jul 2025

Do protein language models understand evolution? Mixed evidence from ancestral sequences and ESM2

Protein language models are trained on evolutionarily related sequences, yet the extent to which they capture the underlying evolutionary relationships remains unclear. We explore this question using reconstructed ancestral protein sequences and the ESM2 protein language model.

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Resource24 Jun 2025

A framework for modeling human monogenic diseases by deploying organism selection

We designed a decision-making framework to find tractable genes from our organism selection dataset for pilot experiments. We focused on genes in two potential models of human monogenic disease, the choanoflagellate Salpingoeca rosetta and the tunicate Ciona intestinalis.

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Resource24 Jun 2025

Modeling human monogenic diseases using the choanoflagellate _Salpingoeca rosetta_

We applied a decision-making framework for identifying tractable genes from our organism selection dataset for pilot experiments in the choanoflagellate Salpingoeca rosetta.

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