Network-Based Drug Discovery: Coupling Network Pharmacology with Phenotypic Screening for Neuronal Excitability.

Journal: Journal of molecular biology
Published Date:

Abstract

Diseases such as chronic pain with complex etiologies are unlikely to respond to single, target-specific therapeutics but rather require intervention at multiple points within a perturbed disease system. Such approaches are being enabled by the rise of computational methods to identify key points of intervention and by new screening techniques that focus on a relevant condition or phenotype, rather than a specific target. Here we apply an in silico network pharmacology approach to identify small-molecule compounds with the potential to selectively disrupt the structure of a chronic-pain specific disease network, which we validate using a novel phenotypic screen that recapitulates key aspects of neuronal and pain biology by measuring changes in neuronal excitability in native sensory neurons. The combination of network pharmacology with a phenotypic screen is a powerful approach; we show that hit rates increase from 26% to 42%. This represents a rational approach to the discovery of compounds with a poly-pharmacology based therapeutic value, which will be vital for the discovery of treatments for complex disease.

Authors

  • Ben Sidders
    Neusentis, Pfizer Research & Development, Cambridge, CB21 6GS, UK; Bioscience, Oncology, IMED Biotech Unit, AstraZeneca, Cambridge, CB2 0RE, UK. Electronic address: benjamin.sidders@astrazeneca.com.
  • Anna Karlsson
    Cellectricon, MoIndal, 431 37, Sweden.
  • Linda Kitching
    Neusentis, Pfizer Research & Development, Cambridge, CB21 6GS, UK; BenevolentAI Cambridge Ltd, Cambridge, CB22 3AT, UK.
  • Rubben Torella
    Pfizer I&I , 610 Main Street , Cambridge , MA 02139 , USA.
  • Paul Karila
    Cellectricon, MoIndal, 431 37, Sweden.
  • Anne Phelan
    Neusentis, Pfizer Research & Development, Cambridge, CB21 6GS, UK; Mission Therapeutics, Cambridge, CB22 3AT, UK.