Boston, MA, August 9, 2026—Kyungdong Pharmaceutical announced that it has successfully completed a cell line development campaign for a biosimilar antibody candidate, in collaboration with Asimov, the company building an AI-native synthetic biology platform to advance therapeutic development. Through this collaboration, Kyungdong secured a high-performing production cell line for its next-generation biosimilar antibody candidate, laying the foundation for process development, large-scale manufacturing, and eventual commercialization.
Leveraging its extensive expertise in the research, development, and manufacturing of prescription medicines, Kyungdong Pharmaceutical is expanding its capabilities into the biologics market. This program was undertaken with the goal of developing a production cell line capable of delivering both high productivity and product quality.
Asimov carried out the project using its proprietary CHO Edge System, which combines a GS knock-out CHO host, a hyperactive transposase, a genetic parts library, and Kernel, Asimov's AI-driven genetic design software. The resulting cell line achieved a high titer, providing a solid foundation for downstream process development, product quality, and future commercialization.
“We are excited to be partnering with Kyungdong Pharmaceutical, one of the leading pharmaceutical companies in Korea, and to contribute to the development of its next-generation biosimilar,” said Alec Nielsen, co-founder and CEO of Asimov. “This collaboration demonstrated the high productivity and development efficiency of our CHO Edge System while maintaining product quality, and we look forward to continuing our collaboration with Kyungdong Pharmaceutical.”
“We are highly satisfied with the achievements of our collaboration with Asimov,” said Ryu Gi-sung, CEO of Kyungdong Pharmaceutical. “As we embark on significantly expanding our biopharmaceutical business, we will strive to work with world-class partners such as Asimov to help bring the treatment options patients need to patients around the globe.”
Meanwhile, Kyungdong Pharmaceutical continues to strengthen its competitiveness across a broad range of prescription medicine areas, including cardiovascular, gastrointestinal, and respiratory diseases, through sustained investment in research and development and formulation technologies. The company is also expanding its next-generation biopharmaceutical R&D capabilities while accelerating its expansion into global markets.
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Virtual Private Network (VPN): Users connect to the cluster, provide some credentials and are then able to access internal tools.
Single Sign-On: A tool like Kerberos allows you to use the same account across various components.
Home-grown user accounts: You implement an authentication system and users have a separate username/password for your computing infrastructure.
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.
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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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