Design biology for sustainable health

Biomia develops plant-inspired medicines to address the unmet medical needs in pain, addiction, and depression.

Through the in-depth scientific expertise in synthetic biology and data science, we accelerate the discovery and development of safer and more effective therapeutics for patients suffering from various mental illnesses, as well as develop disruptive technology to supply these small-molecule bioactives using scalable and reliable fermentation.
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Biomia Secures $3.0 Million in Pre-seed Financing

Biomia secures $3.0 million in pre-seed financing to accelerate the development of its pipeline of plant-inspired natural and new-to-nature halogenated small molecule drug candidates as well as its fermentation-based manufacturing platform and drug discovery engine.

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About Biomia

Biomia is a synthetic biology company developing a pipeline of plant-inspired natural and new-to-nature halogenated small molecule drug candidates (Monoterpenoid Indole Alkaloids (MIAs)) for unmet medical needs in pain, addiction, and depression. Biomia is a spin-out from the Technical University of Denmark and activities have been funded by Novo Nordisk Foundation, European Union, and BioInnovation Institute.

Biomia’s unique ability to design and integrate halogenation into the design of the compounds as well as in the state-of-the-art manufacturing platform is expected to generate substantially improved drug candidates with optimized ADME properties and tox profiles, and Biomia aims to develop an internal pipeline MIA drug candidates with well-established links between the MIA targets and the diseases as well as leveraging its platform and discovery engine through partnerships.

Biomia was founded in 2022 by scientists Jie Zhang, Michael K. Jensen, and Jay D. Keasling and biotech entrepreneurs Sebastian Søderberg and Henrik Stage.

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Our unique technology to mimic the nature’s pharmacy, and beyond

A versatile platform for >3,000 natural monoterpene indole alkaloids (MIAs)
Unlocking the potential of new-to-nature chemistry
Data-driven pathway discovery and microbial cell factory engineering
Proprietary Machine Learning model for efficient hit discovery and lead optimisation
Scalable and reliable fermentation process for cost competitive manufacturing

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