Autocatalytic Discovery
Life depends on chemical cycles that sustain themselves — reactions whose products catalyse their own formation. Discover how self-reinforcing reaction networks could have bootstrapped metabolism before enzymes existed.
Understanding Autocatalysis
An autocatalytic set is a collection of chemical reactions where every molecule needed is either available in the environment (the "food set") or is produced by another reaction in the set. Crucially, every reaction is catalysed by a molecule from within the set itself. This creates a self-sustaining chemical cycle — a primitive form of metabolism that doesn't need enzymes.
Key Concepts
RAF Theory
A Reflexively Autocatalytic and Food-generated (RAF) set is mathematically defined: every reaction is catalysed by a molecule from the set or the food, and every reactant is available. RAF theory shows that such sets arise surprisingly easily in random chemistry — even small networks have a high probability of containing an RAF subset.
The Formose Reaction
One of the oldest known autocatalytic reactions: formaldehyde (HCHO) reacts to form sugars, and those sugars catalyse further formaldehyde reactions. This is a real-world example of how simple chemistry can become self-amplifying without biological enzymes.
Compositional Genomes
Before DNA, protocells may have inherited information through their composition — the mixture of molecules inside. If an autocatalytic set reproducibly creates the same molecular mixture, that mixture is a primitive "genome" without any template molecules.
Kauffman's Theory
Stuart Kauffman proposed that as chemical networks grow in complexity, autocatalytic sets emerge as a phase transition — suddenly and inevitably. Beyond a critical diversity of molecules, self-sustaining chemistry becomes almost certain. Life may have been inevitable, not a lucky accident.
AI Analysis Tools
RAF Set Detection
Use reflexively autocatalytic food-set (RAF) algorithms accelerated by graph attention networks to identify self-sustaining subsets within the reaction network.
RAF TheoryGraph AttentionCycle Enumeration
Enumerate all autocatalytic cycles up to a given length. Rank by thermodynamic driving force and kinetic accessibility using reinforcement learning.
RLCycle RankingNetwork Growth Prediction
Predict how a small autocatalytic set expands over time by recruiting new reactions. Simulate compositional inheritance via stochastic models.
Network ExpansionCompositional Genome