Asimov to leverage its CHO Edge system to amplify the production of monoclonal antibodies

BOSTON, MA, August 12, 2025 – Asimov, the synthetic biology company advancing the design and manufacture of therapeutics, has been selected by the Biomedical Advanced Research and Development Authority (BARDA)'s Biopharmaceutical Manufacturing Preparedness Consortium (BioMaP-Consortium), within the U.S. Department of Health and Human Services’ Administration for Strategic Preparedness and Response (ASPR), to lead a project focused on "Manufacturing Optimization for Filovirus Human Monoclonal Antibodies." This initiative aims to enhance the manufacturing development of a monoclonal antibody (mAb) cocktail targeting filovirus disease caused by Ebola virus (EBOV) or Sudan virus (SUDV). As part of the initiative, Asimov will receive a project award valued up to $8.49M over three years.

EBOV and SUDV are considered high-consequence pathogens for humans and are associated with mortality rates as high as 90 percent. In recognition of the danger to public health posed by filovirus infections, EBOV and SUDV have been identified by the U.S. Department of Homeland Security as material threats to national health security.

"Asimov is proud to partner with BARDA in this critical effort to advance the development of filovirus therapeutics," said Dr. Alec Nielsen, co-founder and CEO of Asimov. "Our CHO Edge system and synthetic biology platform are uniquely positioned to optimize the manufacturing process for this important mAb cocktail, ultimately enabling greater availability of these potentially life-saving treatments."   

To support the aims of this project, Asimov will leverage its demonstrated capability in developing GMP-ready cell lines for antibodies (both monoclonal and bispecific) and fusion proteins. Asimov’s CHO Edge system integrates advanced genetic tools and data-driven models to achieve high titers in cell line development. This system uses a GS knock-out CHO host, a hyperactive transposase, a library of characterized genetic elements, and Kernel, Asimov's computer-aided genetic design software. Asimov will use machine learning and AI strategies to optimize cell line development and manufacturing processes, delivering on its commitment to innovation in biomanufacturing.  

This project has been funded in whole or in part with federal funds from the U.S. Department of Health and Human Services; Administration for Strategic Preparedness and Response (ASPR); Biomedical Advanced Research and Development Authority (BARDA), under Other Transaction Agreement (OTA) number #75A50123D00003.

About Asimov
Asimov’s mission is to advance humanity’s ability to design living systems, enabling biotechnologies with outsized societal benefit. The company is developing a synthetic biology platform – from cells to software – to design and manufacture next-generation therapeutics, including biologics and cell/gene therapies through a combination of products, services, and collaborations. 

Founded by bioengineers from MIT and Boston University and headquartered in Boston, the company has raised over $200 million from top institutional investors including Andreessen Horowitz, CPP Investments, Horizons Ventures, and Fidelity Management & Research Company. For more information, visit www.asimov.com

About BARDA

The Biomedical Advanced Research and Development Authority (BARDA) works with its industry partners to develop vaccines, drugs, therapies, and diagnostic tools for public health medical emergencies.   

Highlights

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Asimov, the synthetic biology company building a full-stack platform to program living cells, announced today it has been awarded a contract as part of the Defense Advanced Research Projects Agency (DARPA) Automating Scientific Knowledge Extraction (ASKE) opportunity.

Through ASKE, Asimov will work to develop a physics-based artificial intelligence (AI) design engine for biology. The goal of the initiative is to improve the reliability of programming complex cellular behaviors.

“To achieve truly predictive engineering of biology, we require dramatic advances in computer-aided design. Machine learning will be critical to bridge genome-scale experimental data with computational models that accurately capture the underlying biophysics. As genetically engineered systems grow in complexity, they become difficult for humans to design and understand. For simple genetic systems with only a couple of genes, synthetic biologists typically use high-throughput screening and basic optimization algorithms. But to engineer more complex applications in health, materials, and manufacturing, we need radically new algorithms to intelligently design the DNA and simulate cell behavior.”

Alec Nielsen, Phd, Asimov CEO
Over the past 50 years, DARPA has been a world leader in spurring innovation across the field of AI, including statistical-learning and rule-based approaches. We are proud to work with DARPA to advance the state-of-the-art in AI-assisted genetic engineering.

Asimov’s founders previously built a hybrid genetic engineering and computer-aided design platform called Cello to program logic circuit behaviors in cells. The ASKE opportunity will seek to support an ambitious expansion in the types of biological behaviors that can be engineered.

Asimov’s approach will leverage “multi-omics” cellular measurements, structured biological metadata, and novel AI architectures that combine deep learning, reinforcement learning, and mechanistic modeling. Over the past year, the company has ramped up hiring in experimental synthetic biology, machine learning, and data science to accelerate development of their genetic design platform.

Highlights

Headering 3

DARPA recently announced a multi-year investment of $2B into innovative artificial intelligence research called the AI Next campaign. A part of this wide-ranging AI strategy is DARPA’s Artificial Intelligence Exploration program, which was developed to help expeditiously move pioneering AI research from idea to exploration in fewer than 90 days. DARPA’s ASKE opportunity is part of this program and is focused on developing AI technologies that can reason over rich models of complex systems.

“Over the past 50 years, DARPA has been a world leader in spurring innovation across the field of AI, including statistical-learning and rule-based approaches. We are proud to work with DARPA to advance the state-of-the-art in AI-assisted genetic engineering.”

Alec Nielsen, PhD, Asimov CEO
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