Technology

Rapid evolution of designer genomes, starting from species with inherent advantage

Technology
A great decomposer in nature & protein secretor: fungi <span>(molds and mushrooms)</span>

01

A great decomposer in nature & protein secretor: fungi (molds and mushrooms)

Its genome gets diversified <span>(by genetic tools)</span> into millions of variants

02

Its genome gets diversified (by genetic tools) into millions of variants

The variants go through a device that can evaluate <span>(individual measurement or let them compete against each other)</span> and pick out the top performers (in secreting proteins)

03

The variants go through a device that can evaluate (individual measurement or let them compete against each other) and pick out the top performers (in secreting proteins)

The winners can go to production in a factory or we can push them further by repeating the process <span>(going to step 1)</span>

04

The winners can go to production in a factory or we can push them further by repeating the process (going to step 1)

Meanwhile, we use the data in step 3 to train AI models and learn how to quickly create winner genomes in the future.

05

Meanwhile, we use the data in step 3 to train AI models and learn how to quickly create winner genomes in the future.

We innovate through the convergence of biology, hardware, and computation.

We innovate through the convergence of <em>biology, hardware, and computation.</em>
a

We work with a wide variety of hard-to-engineer species with advanced genetic tools

b

We custom-build devices for high-throughput evaluation of various species and their variants. We establish the genome to performance (genotype-phenotype) link.

c

Our AI models learn the language of life from various species, each with millions of variants, and become a “genome writer”. The learning is done by the genotype-phenotype linkage from the left two panels.