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===Reversibility is an important requirement for evolvability=== | ===Reversibility is an important requirement for evolvability=== | ||
− | # Creates | + | # Creates stochastic behavior for exploration of phenotypes |
# Generate adaptativity by "mutations" which are driven by internal, or environmental parameters (e.g. stimuli, effectors) | # Generate adaptativity by "mutations" which are driven by internal, or environmental parameters (e.g. stimuli, effectors) | ||
Version du 20 janvier 2012 à 11:20
Strasbourg Complex Systems Roadmap (January 2012)
Participants
- [Nicolas Giuseppone]
- [Mario Ruben]
- Mihail Stadler
- Franck Hoonakker,
- Emilie Moulin,
- Jean-Marc Planeix,
- Mourad Elhabiri,
- Ali Trabolsi
- Stéphane Mery
- Antoine Bonnefont
Keywords
Hierarchical structures, Dynamic systems, Adaptive behaviour, Molecular evolution, Smart functional systems, Information-gaining systems
Introduction
Complexity can be defined as C = M*I*I
M: Multiplicity
- One single molecule can present several properties e.g. Multiplicity of binding sites, number of energy levels....
- Mutiplicity of components: number of components (molecular) /constituents (supramolecular) in the system
I: Interaction
- Complentaries of shapes, of charges, of energy levels (Program writing / reading)
- Thermodynamic and kinetic of the interaction (reversibility, lability), covalent / non-covalent bonds, short-range/long-range
- Interactions of molecules with their environments (possibly in flux of energies far from equilibrium)
I: Integration
- Collective structuring
- In space: From sub-nano, to meso, to macro
- In time: Modulation of structures, oscillations
- Emergence of new properties because of the network topologies (feedback loops)
- Emergence of new functions
Grand Challenges
- Designing supramolecular systems able to generate complexity
- Reaching emergent properties in complex supramolecular systems
- Producing applications from complex supramolecular systems – societal implications
- Teaching complex systems in chemistry (Strasbourg Erasmus Mundus)
1. Designing supramolecular systems able to generate complexity
Specificity of interactions and integrations
- From bimolecular recognition (host-guest) to large self-assemblies
- Hierarchy of self-assemblies
Dynamics is important and can take place at the three levels M, I, and I in time and space
- Conformational Dynamic
- Constitutional dynamic: reversibility of the structure of the systems components
- Network dynamics in coupled reactions
- Reversible dynamics at the three levels allow adaptation
Reversibility is an important requirement for evolvability
- Creates stochastic behavior for exploration of phenotypes
- Generate adaptativity by "mutations" which are driven by internal, or environmental parameters (e.g. stimuli, effectors)
Cooperativity is part of the integration processes which is important for modulations
- Allosteric effects (activation/inhibition)
- Long range interactions and colective behaviors (e.g. phase transitions)
- Auto-catalysis and cross-catalysis (positive / negative feedback loops)
- Cooperativity allows emergence
2. Reaching emergent properties in complex supramolecular systems
Diversity
Selection
Evolution
New functions
Open questions
- Is supramolecular complexity (one of the) the support to produce thinking matter?
- If yes, is this pathway continuous or does it present at one point a strong nonlinearity in evolution? Information/consciousness?
3. Producing applications from complex supramolecular systems – societal implications
Medicine
- Drugs
- Transfections - Delivery
- Imaging
Cellular biology
- Understanding of the construction of molecular networks
- Understanding protein foldings
- Biomimetic behaviors
Environmental sciences
- CO2 capture
- Water purification
Chemistry and materials
- Catalysis
- Organic electronics
- Solar cells
- Self-healing materials
- Smart materials (responsive/adaptive)
- Molecular motors
- Information processing and engineering