7. Belief
• mol binds protein
• mol active assay
• But
• multiple measures
• multiple predictions
• Beliefs are probabilities, Facts are truths
(see: Dempster-Shafer Theory for reasoning with uncertainty)
9. Belief Networks
Structure and dynamics of molecular networks. Pharmacology & Therapeutics 138 (2013) 333–408. Peter Csermely et al
Knowledge Vault. A web-scale approach to probabilistic knowledge fusion. K. Murphy et al,
10. Rules
• Facts: When FactA & FactB & FactC then Decision
• Beliefs: Costs, Benefits and Risks of Decision
• Decisions
• Molecule Facts -> Active
• Research Target Profile (RTP) -> Candidate
• Project Facts -> Invest
11. Search and Optimisation
• Search World of Known Facts
• Pass Rules?
• Search World of Possible Facts
• Move through World
• Create new beliefs
• Pass Rules?
12. Simulation
• Dynamic simulations of protein structures (eg FEP)
• Pharmacokinetic simulation from in vitro ADME
• Efficacy and safety simulations
13. Elements of AI
Facts Rules Beliefs
Inference Learning
Optimise Simulate
Sensors Decisions
14. From Tools to AI
• Always on, always learning
• Generic processes & objective criteria
• Multiple lines of evidence
• Common Language
15. Why AI?
• What would AI be like?
• What would be different?
• What would be better?