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Case Study: Drug Discovery AI Consortium

Foundational AI models for drug discovery have made a huge leap forward over the last 2 years. However, limited availability of high-quality molecular data is a major bottleneck to achieving the next steps forward. The AI Structural Biology Consortium was created to tackle these challenge and unblock the next revolutions in AI-driven drug discovery.

In this case study we explore:


  • The challenges around access to high-quality molecular data for Life Sciences
  • How the Consortium consisting of major pharmaceutical companies, prestigious model building partners and Apheris as the technology provider was created to tackle this
  • The use cases including model benchmarking & fine-tuning
  • Leveraging Federation to ensure secure, governed and privacy preserving collaboration between all parties

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