Generative Design of Multispecifics
Design multispecific antibodies with preserved binding and developability
Company profile
Company profile
Nabla Bio is transforming drug development from trial-and-error into a true design discipline by integrating generative AI with human-relevant biological testing. At the core of their platform is JAM, a multimodal generative modeling system trained on massive protein sequence and structure data, strengthened with Nabla-generated measurements from mammalian systems. JAM can design antibodies and biologics de novo by taking partial molecular context—such as a disease target or epitope—and generating complete, developable molecules with drug-like properties from the start. The company's integrated approach combines computational design with experimental validation at scale, producing thousands of protein designs and measuring binding, developability properties, and function in cellular and in vivo contexts that closely reflect human biology. This enables parallel de novo antibody design campaigns, generative design of multispecific therapeutics, and the ability to drug previously inaccessible targets like GPCRs, ion channels, and transporters. Based in Cambridge, Massachusetts, Nabla Bio partners with leading pharmaceutical companies to embed their platform across discovery pipelines and licenses designed biologics for development. Their technology addresses fundamental challenges in biologics development including epitope-specific targeting, developability optimization, and the design of complex multispecific architectures that maintain binding affinity while avoiding aggregation and misfolding.
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01 · Operating footprint
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Company milestones
Announced JAM-2 system for drug-like antibody design (2025); signed second collaboration with Takeda (October 2024); published breakthrough research on GPCR-targeting antibodies and test-time compute scaling (May 2025)
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02 · Flagship portfolio
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Design multispecific antibodies with preserved binding and developability
Design antibodies for difficult-to-drug targets like GPCRs and ion channels
Multimodal generative modeling system for de novo biologics design
Drug-like antibodies straight from the computer
Design antibodies to multiple targets simultaneously with epitope precision
03 · Research intelligence
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04 · Company-reported outcomes
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Enables parallel design campaigns across multiple targets simultaneously
Designs antibodies to bind specific sites on targets, enabling systematic exploration of epitope biology
Maintains individual binding affinities while ensuring overall developability and avoiding aggregation
AI-driven design of protein therapeutics through collaboration
Second collaboration agreement signed, expanding partnership
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Market context
Companies using AI, machine learning, or computational biology to discover new drug candidates, identify drug targets, predict drug efficacy, or accelerate pharmaceutical development. Includes both small molecule and biologics development, precision oncology drug discovery, and AI-driven target identification and molecule design.
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