Source 1primary paper2018Advanced Materials
Toolkit/quantitative mathematical model
quantitative mathematical model
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The quantitative mathematical model is a computational design method used to guide the combination of synthetic biology-derived functional modules within a polymer framework. In the cited biohybrid materials system, this model-supported design enabled light pulse-counting behavior linked to distinct molecular outputs.
Usefulness & Problems
Why this is useful
This method is useful for rationally organizing modular synthetic biology components into multi-input-processing polymer materials. The cited study indicates that it supported the design of a material system that converts light pulse number into different molecular release outputs.
Source:
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Source:
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
Problem solved
It addresses the design problem of how to combine synthetic biology-derived modules within a polymer framework to achieve programmed input-processing behavior. Specifically, the reported application concerns constructing a material that distinguishes the number of input light pulses and produces corresponding output molecules.
Source:
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete computational method used to design, rank, or analyze an engineered system.
Techniques
Computational DesignTarget processes
No target processes tagged yet.
Implementation Constraints
The evidence states that the model was used to guide combination of functional synthetic biology-derived modules in a polymer framework. Specific software, equations, input variables, module identities, light wavelengths, and experimental deployment details are not reported in the supplied evidence.
The available evidence does not describe the mathematical formalism, parameters, predictive accuracy, or generalizability of the model beyond the cited material system. Independent replication, benchmarking against alternative design methods, and implementation details for broader use are not provided in the supplied evidence.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
Synthetic biology switches and design principles were applied to synthesize multi-input-processing materials.
Here, the concept is introduced to apply synthetic biology switches and design principles for the synthesis of multi-input-processing materials.
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
A biohybrid materials system built from synthetic biology-derived modules in a polymer framework releases distinct output molecules according to the number of input light pulses detected.
functional synthetic biology-derived modules are combined into a polymer framework resulting in a biohybrid materials system that releases distinct output molecules specific to the number of input light pulses detected.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Modular extension yielded a light pulse-counting materials system that sequentially releases different enzymes catalyzing a multistep biochemical reaction.
Further demonstration of modular extension yields a light pulse-counting materials system to sequentially release different enzymes catalyzing a multistep biochemical reaction.
Approval Evidence
1 source1 linked approval claimfirst-pass slug quantitative-mathematical-model
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
Source:
design guidancesupports
A quantitative mathematical model guided the combination of synthetic biology-derived modules into the polymer framework.
Guided by a quantitative mathematical model, functional synthetic biology-derived modules are combined into a polymer framework
Source:
Comparisons
Source-backed strengths
A reported strength is that the model provided explicit design guidance for assembling functional modules into a biohybrid polymer material. The resulting system demonstrated a nontrivial function—release of distinct output molecules according to detected light pulse count—supporting the utility of the model-guided design approach.
Ranked Citations
- 1.