Generate Biomedicines


Generate Biomedicines is a pioneering therapeutics company at the intersection of machine learning, biological engineering, and medicine. They are developing generative biology to create breakthrough medicines, fundamentally changing how medicines are made. Their platform can generate medicines on demand across multiple modalities with unprecedented speed and success rates, including antibodies, enzymes, and stealth proteins. The company is committed to responsible AI use and aims to radically transform drug discovery and development, leveraging AI, automation, and cutting-edge science to treat intractable diseases.

Industries

biotechnology
health-care
medical
product-research

Nr. of Employees

medium (51-250)

Generate Biomedicines

Somerville, Massachusetts, United States, North America


Products

Generative protein design platform (ML-driven generate–build–measure–learn loop)

An integrated platform that generates protein sequences computationally, synthesizes and tests them experimentally at scale, and uses resulting data to iteratively improve generative models.

Programmable generative model for proteins (research distribution)

Research-oriented generative model implementation and associated artifacts enabling sampling of novel protein structures, secondary-structure conditioned or symmetry-conditioned designs, and shape-conditioned proteins.


Services

Platform-driven protein generation and discovery

Computational generation of novel protein therapeutics followed by experimental build and measurement to produce candidates for preclinical and clinical development.

Collaborative discovery and development partnerships

Multi-target collaborations with pharmaceutical companies and academic institutions to co-develop protein therapeutics using the generative platform.

Provision of model code, weights, and interactive notebooks

Availability of generative model code, pre-trained weights, and browser-based interactive notebooks for research and reproducibility.

Expertise Areas

  • Generative protein design
  • Protein engineering and immunogenicity mitigation
  • High-throughput structural biology
  • Machine-learning driven drug discovery
  • Show More (6)

Key Technologies

  • Diffusion-based generative models for proteins
  • Graph neural networks for molecular systems
  • Equivariant neural layers for 3D structure synthesis
  • Cryo-electron microscopy (cryoEM)
  • Show More (6)

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