Over the years, people have asked: What does Asimov do? This is our brief response.
At a high level, we think biology is an advanced form of molecular nanotechnology. Our goal is to create tools and software to more reliably engineer cells, thus bolstering humanity’s ability to design living systems and enabling biotechnologies with outsized societal benefit.
Just because bioengineers can manipulate organisms, however, does not mean their well-laid plans come to fruition. Biological organisms are typically engineered, today, using iterative trial-and-error, rather than actual design. Our goal is to push biotechnology into a true engineering discipline, where experimental outcomes are predictable ahead of time.
Everything we do centers around a concept that we call genetic design. We think of this as the process of intentionally modifying an organism's DNA using advanced techniques such as characterized parts, modeling, and multi-omics analysis. Genetic design is distinct from traditional genetic engineering in that it focuses on forward design driven by biophysical understanding and model-guided predictions.
One of the ways we’re using genetic design is by engineering mammalian cells to make medicines. In other words, we’re making bio-tools, such as expression platforms and engineered cell lines, as well as software tools, including metabolic simulators, codon optimizers and signal peptide predictors, to help our customers engineer cells to make antibodies, AAV, and lentivirus.
A large part of our work is focused on antibodies, a type of protein used to make many of the most popular medicines, including Humira (for rheumatoid arthritis) and Keytruda (for cancer). Many pharmaceutical companies make antibodies using Chinese Hamster Ovary cells, or CHO, but the problem is that this process is unpredictable and has to be tweaked for every new antibody. We routinely use our wet-lab and software tools to optimize and engineer these cells, thus coaxing them to make greater amounts of antibodies with fast timelines and good quality attributes.
More recently, we also launched a product called LV Edge. LV stands for lentivirus, which is a type of virus that can be used to deliver genes into human cells for gene therapies. Lyfgenia, for example, was recently approved by the FDA and uses a lentiviral vector to add a hemoglobin gene to blood-making stem cells to treat sickle-cell disease. We engineered HEK293 (a type of immortalized human cell) to make large amounts of lentivirus, with the goal of making gene therapies available to more people. We’ve also written a longer blog about LV Edge, which you can read here. We have another product for AAV manufacturing, too, called AAV Edge.
Our basic “tech stack” is the same, regardless of whether we’re working on antibodies or anything else. We have teams actively working on optimizing cells and production processes for individual molecules and other teams building computational models — based on biophysical insights or transformer-based AI models — to predict aspects of how an engineered cell will behave before we make it. Another team within Asimov Labs collects large amounts of data in our Boston laboratory to measure the function of myriad biological processes, and then works with computational biology teams to improve their models. We strive to make every experiment into a data point so that nothing goes to waste.
Many of the models and tools we develop for various products are also bundled together and made available through Kernel, our browser-based software for genetic design. You can think of it as the “hub” or “vault” for all of the tools we’re building.
So that’s the gist. We make wet-lab and computational tools to engineer cells in more predictable ways. While engineering those cells, we collect a large amount of data and build models to understand how they work. This research, in turn, bolsters Kernel and makes it easier for everyone to design biology. In the future, we aim to expand our product offerings to agriculture, foods, and materials; anywhere that engineered biology can make an impact.
This and more at our website:
asimov.com