Precision Network Medicine

Diseases are a consequence of broken or too much inter- and intracellular communication 

Cancer

Neurodegeneration

Autism

Rogue hypercommunication Defective neuro-glia talks Neuronal Hyperconnectivity

Multiple Diseases

Autoimmunity

IBD

Host-microbe communication T-cell Communication Intestinal Epithelial Cells

We Seek to â€‹Make Networks Actionable With Precision and Personalization

END GOAL IS TO BUILD AN ACTIONABLE & PREDICTABLE NETWORK
Discover drugs that have high efficacy despite disease heterogeneity and population variation (noise). 

HOW DO WE DO THAT? 
  • One that begins by querying transcriptomic (and other 'omics datasets) datasets for invariant logical Boolean paths (from healthy to diseased cellular processes/phenotypes, e.g., epithelial to messenchymal transition). 
  • Then heavily assigns weight to the few invariant Boolean events (that inform the behavior of major 'agents' in cells)
  • Events that can decisively regulate cell fate [live, transform, die, etc.]
  • Through cooperative fundamental Boolean implications in gene expression throughout the network  
  • Events that are actionable (i.e., can be modulated by drugs, agonists or antagonists of targets)
  • Events that can be monitored while we act on it (i.e., precise companion biomarkers). 


A diagram of a Complete Pipeline for Transforming Our Approach to Studying and Treating Darwinian Diseases through Reverse Engineering
  • Discovery Platform: Precise Biomarkers and Targets
  • Development Platform: that is geared to achieve higher success rates
    • HUMANOIDTM: Organoid-based Research to Model Human Diseases (UCSD IBD clinic)
    • Semi-HTP Screening in Zebrafish models of human diseases
  • Translation Platform: UCSD-Industry Alliance