Transforming drug discovery with a high-throughput AI-powered platform: A 5-year experience with Patrimony.

Journal: Drug discovery today
Published Date:

Abstract

High-throughput computational platforms are being established to accelerate drug discovery. Servier launched the Patrimony platform to harness computational sciences and artificial intelligence (AI) to integrate massive multimodal data from internal and external sources. Patrimony has enabled researchers to prioritize therapeutic targets based on a deep understanding of the pathophysiology of immuno-inflammatory diseases. Herein, we share our experience regarding main challenges and critical success factors faced when industrializing the platform and broadening its applications to neurological diseases. We emphasize the importance of integrating such platforms in an end-to-end drug discovery process and engaging human experts early on to ensure a transforming impact.

Authors

  • François-Xavier Blaudin de Thé
    Servier Research & Development, Saclay, France.
  • Claire Baudier
    Servier Research & Development, Saclay, France.
  • Renan Andrade Pereira
    Servier Data Factory, Suresnes, France.
  • Céline Lefebvre
    Servier, Research & Development, Suresnes, France.
  • Philippe Moingeon
    Servier, Research and Development, 50 rue Carnot, 92284 Suresnes Cedex, France. Electronic address: philippe.moingeon@servier.com.