RAF Application. The Origin of Life. E. Bingham 1 L. Hutton-Smith 2 E. Rolls 2. Oxford Summer School in Computational Biology, 2013
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1 The Origin of Life E. Bingham 1 L. Hutton-Smith 2 E. Rolls 2 1 Department of Mathematics University of North Carolina 2 Mathematical Institute University of Oxford Oxford Summer School in Computational Biology, 2013
2 Outline Introduction Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Binary Polymer Model The RNA Polymer Model Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys
3 Outline Introduction Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Binary Polymer Model The RNA Polymer Model Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys
4 Outline Introduction Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Binary Polymer Model The RNA Polymer Model Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys
5 Outline Introduction Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Binary Polymer Model The RNA Polymer Model Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys
6 Outline Introduction Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Binary Polymer Model The RNA Polymer Model Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys
7 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Beyond science? Maybe not. How did life come to be? 20th century research and the Miller-Urey experiment
8 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Beyond science? Maybe not. How did life come to be? 20th century research and the Miller-Urey experiment
9 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations DNA and proteins Which came first? Chicken and egg problem DNA or proteins? Simultaneous appearance?
10 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations DNA and proteins Which came first? Chicken and egg problem DNA or proteins? Simultaneous appearance?
11 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations DNA and proteins Which came first? Chicken and egg problem DNA or proteins? Simultaneous appearance?
12 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RNA world hypothesis A self supporting/replicating group of molecules Primordial soup However there is criticism
13 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RNA world hypothesis A self supporting/replicating group of molecules Primordial soup However there is criticism
14 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RNA world hypothesis A self supporting/replicating group of molecules Primordial soup However there is criticism
15 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets RAF sets could be the answer Autocatalytic set theory plays an important role Informal RAF set definition: A self-sustaining set supported by an abundant food source i.e. every reaction catalysed by at least one molecule in the set And all molecules are generated from a series of reactions leading from the food set
16 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets RAF sets could be the answer Autocatalytic set theory plays an important role Informal RAF set definition: A self-sustaining set supported by an abundant food source i.e. every reaction catalysed by at least one molecule in the set And all molecules are generated from a series of reactions leading from the food set
17 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets RAF sets could be the answer Autocatalytic set theory plays an important role Informal RAF set definition: A self-sustaining set supported by an abundant food source i.e. every reaction catalysed by at least one molecule in the set And all molecules are generated from a series of reactions leading from the food set
18 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets RAF sets could be the answer Autocatalytic set theory plays an important role Informal RAF set definition: A self-sustaining set supported by an abundant food source i.e. every reaction catalysed by at least one molecule in the set And all molecules are generated from a series of reactions leading from the food set
19 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets RAF sets could be the answer Autocatalytic set theory plays an important role Informal RAF set definition: A self-sustaining set supported by an abundant food source i.e. every reaction catalysed by at least one molecule in the set And all molecules are generated from a series of reactions leading from the food set
20 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets Could they have occurred? Could RAF sets have occurred on the early earth? Abundant creation of the building blocks of life Existence would strengthens prebiotic metabolism theory But did they?
21 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets Could they have occurred? Could RAF sets have occurred on the early earth? Abundant creation of the building blocks of life Existence would strengthens prebiotic metabolism theory But did they?
22 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets Could they have occurred? Could RAF sets have occurred on the early earth? Abundant creation of the building blocks of life Existence would strengthens prebiotic metabolism theory But did they?
23 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Autocatalytic sets Could they have occurred? Could RAF sets have occurred on the early earth? Abundant creation of the building blocks of life Existence would strengthens prebiotic metabolism theory But did they?
24 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Examples of autocatalytic sets Formose Reactions Polymerisation of cyanide
25 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations Examples of autocatalytic sets Formose Reactions Polymerisation of cyanide
26 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
27 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
28 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
29 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
30 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
31 Theories for the origin of Life Application of RAF theory to the metabolism first hypothesis RAF application to dynmical simulations RAF application to dynamical simulations Furthering past work Past simulations Binary polymer model Proposed extensions RNA models Realistic reaction networks Dynamics
32 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
33 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
34 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
35 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
36 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
37 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations MD and GAUSSIAN Molecular dynamical approach (MD) Newtonian mechanics Electrostatic effects between molecules GAUSSIAN Performs chemistry Calculates electron orbitals
38 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations Why we didn t want to use these Although accurate Computationally intensive We wish to simulate a large quantity of molecules Unfeasible
39 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations Why we didn t want to use these Although accurate Computationally intensive We wish to simulate a large quantity of molecules Unfeasible
40 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations Why we didn t want to use these Although accurate Computationally intensive We wish to simulate a large quantity of molecules Unfeasible
41 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Current dynamical simulations Why we didn t want to use these Although accurate Computationally intensive We wish to simulate a large quantity of molecules Unfeasible
42 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
43 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
44 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
45 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
46 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
47 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm What sort of simulation is feasible? i.e. will finish before the expansion of the sun Toy chemistries WillieWorld Does not implement quantum mechanics Performs chemistry through a set of rules Mixing a molecular construction kit Free radicals
48 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm WillieWorld
49 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
50 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
51 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
52 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
53 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
54 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
55 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
56 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm Why not use Willie World? Far from chemical realism Creation of unrealistic molecules Arguably a step in the right direction However developing the model to include more realism in the time was unrealistic Random motion With no other dynamical effects the system was redundant compared to purely stochastic processes Computationally more reasonable Gillespie algorithm
57 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
58 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
59 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
60 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
61 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
62 Molecular Dynamical and Quantum simulations Toy chemistries and Willie World The Gillespie Algorithm The Gillespie Algorithm Stochastic dynamical method Calculates the probability of a reaction based on parameters Concentrations of the reactants Rate of the reaction From the weighted probabilities of the different reactions one is chosen to occur The system then moves forward in time This process is repeated until the system reached the prescribed end time
63 The Binary Polymer Model The RNA Polymer Model Preliminary work on the Binary Polymer model The previously mentioned Binary polymer model used in past research Litigation and cleavage reactions Precursor to the RNA Polymer Model
64 The Binary Polymer Model The RNA Polymer Model Preliminary work on the Binary Polymer model The previously mentioned Binary polymer model used in past research Litigation and cleavage reactions Precursor to the RNA Polymer Model
65 The Binary Polymer Model The RNA Polymer Model Preliminary work on the Binary Polymer model The previously mentioned Binary polymer model used in past research Litigation and cleavage reactions Precursor to the RNA Polymer Model
66 The Binary Polymer Model The RNA Polymer Model The Binary Polymer Model Assigning catalysis Random Template based catalysis Similar work by Filisetti et al. 2011
67 The Binary Polymer Model The RNA Polymer Model The Binary Polymer Model Assigning catalysis Random Template based catalysis Similar work by Filisetti et al. 2011
68 The Binary Polymer Model The RNA Polymer Model The Binary Polymer Model Assigning catalysis Random Template based catalysis Similar work by Filisetti et al. 2011
69 The Binary Polymer Model The RNA Polymer Model What the model is Effectively the quarternary polymer model, with base elements A, C, G, U Use RNAfold to generate secondary structure Define catalysis
70 The Binary Polymer Model The RNA Polymer Model What the model is Effectively the quarternary polymer model, with base elements A, C, G, U Use RNAfold to generate secondary structure Define catalysis
71 The Binary Polymer Model The RNA Polymer Model What the model is Effectively the quarternary polymer model, with base elements A, C, G, U Use RNAfold to generate secondary structure Define catalysis
72 The Binary Polymer Model The RNA Polymer Model Catalysis explanation
73 The Binary Polymer Model The RNA Polymer Model Doing a combinatorial expansion of a subset of the possible reaction system Start with a small initial starting set Combinatorially expand
74 The Binary Polymer Model The RNA Polymer Model Doing a combinatorial expansion of a subset of the possible reaction system Start with a small initial starting set Combinatorially expand
75 The Binary Polymer Model The RNA Polymer Model RNA Polymer Preliminary Results RAF sets sought on reaction system with 25,000 molecules and 50,000 reactions 72 systems generated Found phase shifts Mid-point of phase shift at around 8.5 catalysations per molecule
76 The Binary Polymer Model The RNA Polymer Model RNA Polymer Preliminary Results RAF sets sought on reaction system with 25,000 molecules and 50,000 reactions 72 systems generated Found phase shifts Mid-point of phase shift at around 8.5 catalysations per molecule
77 The Binary Polymer Model The RNA Polymer Model RNA Polymer Preliminary Results RAF sets sought on reaction system with 25,000 molecules and 50,000 reactions 72 systems generated Found phase shifts Mid-point of phase shift at around 8.5 catalysations per molecule
78 The Binary Polymer Model The RNA Polymer Model RNA Polymer Preliminary Results RAF sets sought on reaction system with 25,000 molecules and 50,000 reactions 72 systems generated Found phase shifts Mid-point of phase shift at around 8.5 catalysations per molecule
79 The Binary Polymer Model The RNA Polymer Model Example of a system s results
80 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Motivation Previous models, especially the Binary polymer model, lack chemical realism We will discuss the possibilities to add chemical properties In order to investigate the existence of RAF sets and the impact of more realistic network topology
81 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Motivation Previous models, especially the Binary polymer model, lack chemical realism We will discuss the possibilities to add chemical properties In order to investigate the existence of RAF sets and the impact of more realistic network topology
82 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Motivation Previous models, especially the Binary polymer model, lack chemical realism We will discuss the possibilities to add chemical properties In order to investigate the existence of RAF sets and the impact of more realistic network topology
83 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
84 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
85 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
86 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
87 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
88 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Simple rule based simulation Our first idea was essentially an expansion of the concept of Willie world Implementing the Gillespie algorithm Over tracking individual random motion of particles We would use toy atoms and valance based properties Covalent and ionic bonding The system would populate a possible reactions based on comparing free radicals on molecules
89 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Issues with this approach As good, if not better, than Willie World Open to the addition of complexity Including enough rules to make accurate would be an increasingly inefficient task
90 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Issues with this approach As good, if not better, than Willie World Open to the addition of complexity Including enough rules to make accurate would be an increasingly inefficient task
91 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Issues with this approach As good, if not better, than Willie World Open to the addition of complexity Including enough rules to make accurate would be an increasingly inefficient task
92 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
93 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
94 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
95 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
96 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
97 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
98 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys The Graph Grammar Library GGL A generic framework for rewriting networks of graphs based on specified rules on transformations between subgraphs A chemical reaction can be viewed as graph transformation from the set of reactant graphs set of product graphs Iterative expansion the topology of chemical reaction network from: A set of chemical reactions (graph rewrite rules) Set of molecules (vertex and edge labeled graphs) We could then using the GGL to generate a full reaction network based on initial system conditions and the rules With this we could simulate chemical reactions with the Gillespie algorithm
99 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
100 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
101 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
102 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
103 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
104 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Rule encoding with GGL The rules within GGL can be extremely general As the GGL examines subgraphs within graphs It can be instructed to look for a particular feature of a molecule and transform it For example, open chain molecules to cyclic molecules, polymerizations These types of transformations were not possible in Willie World Eases the creation of a large reaction network
105 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Constructing RNA A molecular biologists dream The outlines for proposed reactions leading to the construction of RNA through various chemical reactions are laid out in a paper by Leslie E. Orgel We aimed to analyse these chemical reaction to add rules to the GGL engine We soon discovered that within the time available it would be impossible to make these rules general enough Without which any simulation of a primordial soup would seriously lack realism The simulation would simply perform the proposed rules for the creation of RNA, no matter how unlikely this would be in practice We clearly needed a more encompassing method of performing chemistry
106 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Constructing RNA A molecular biologists dream The outlines for proposed reactions leading to the construction of RNA through various chemical reactions are laid out in a paper by Leslie E. Orgel We aimed to analyse these chemical reaction to add rules to the GGL engine We soon discovered that within the time available it would be impossible to make these rules general enough Without which any simulation of a primordial soup would seriously lack realism The simulation would simply perform the proposed rules for the creation of RNA, no matter how unlikely this would be in practice We clearly needed a more encompassing method of performing chemistry
107 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Constructing RNA A molecular biologists dream The outlines for proposed reactions leading to the construction of RNA through various chemical reactions are laid out in a paper by Leslie E. Orgel We aimed to analyse these chemical reaction to add rules to the GGL engine We soon discovered that within the time available it would be impossible to make these rules general enough Without which any simulation of a primordial soup would seriously lack realism The simulation would simply perform the proposed rules for the creation of RNA, no matter how unlikely this would be in practice We clearly needed a more encompassing method of performing chemistry
108 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Constructing RNA A molecular biologists dream The outlines for proposed reactions leading to the construction of RNA through various chemical reactions are laid out in a paper by Leslie E. Orgel We aimed to analyse these chemical reaction to add rules to the GGL engine We soon discovered that within the time available it would be impossible to make these rules general enough Without which any simulation of a primordial soup would seriously lack realism The simulation would simply perform the proposed rules for the creation of RNA, no matter how unlikely this would be in practice We clearly needed a more encompassing method of performing chemistry
109 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Constructing RNA A molecular biologists dream The outlines for proposed reactions leading to the construction of RNA through various chemical reactions are laid out in a paper by Leslie E. Orgel We aimed to analyse these chemical reaction to add rules to the GGL engine We soon discovered that within the time available it would be impossible to make these rules general enough Without which any simulation of a primordial soup would seriously lack realism The simulation would simply perform the proposed rules for the creation of RNA, no matter how unlikely this would be in practice We clearly needed a more encompassing method of performing chemistry
110 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Creating a realistic reaction network A different approach The problem we had been encountering was essentially, how do to create a reaction system with was close to reality We chose to not decide what can react with what within our system, but to consult chemical databases. This would bring a level of chemical realism far greater than any of the previously described models Also this would give a much wider scope of possible paths within the system
111 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Creating a realistic reaction network A different approach The problem we had been encountering was essentially, how do to create a reaction system with was close to reality We chose to not decide what can react with what within our system, but to consult chemical databases. This would bring a level of chemical realism far greater than any of the previously described models Also this would give a much wider scope of possible paths within the system
112 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Creating a realistic reaction network A different approach The problem we had been encountering was essentially, how do to create a reaction system with was close to reality We chose to not decide what can react with what within our system, but to consult chemical databases. This would bring a level of chemical realism far greater than any of the previously described models Also this would give a much wider scope of possible paths within the system
113 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Creating a realistic reaction network A different approach The problem we had been encountering was essentially, how do to create a reaction system with was close to reality We chose to not decide what can react with what within our system, but to consult chemical databases. This would bring a level of chemical realism far greater than any of the previously described models Also this would give a much wider scope of possible paths within the system
114 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
115 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
116 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
117 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
118 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
119 Simple valency model GGL and prebiotic metabolism networks Reaction networks using Reaxys Reaxys A chemical database By outputting reaction data from the chemical database Reaxys we intended to create a reaction network We wanted this to be close to an early Earth environment Previous work on this had yielded a list of small molecules thought to be fundamental to the OOL We used these as our food set We performed iterations with these molecules with Reaxys From this we managed to obtain a reaction network derived from our food set to apply the Gillespie algorithm
120
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