Related Experiment Video
Updated: May 12, 2026
10:28
Using Synthetic Biology to Engineer Living Cells That Interface with Programmable Materials
Published on: March 9, 2017
Basic science through engineering? Synthetic modeling and the idea of biology-inspired engineering
Tarja Knuuttila1, Andrea Loettgers
1University of Helsinki, Fabianinkatu 24 (P.O. Box 4), 00014, Finland. tarja.knuuttila@helsinki.fi
Summary
Synthetic biology, using engineered genetic networks, is evolving beyond engineering. This synthetic modeling approach integrates diverse methods, making the field more biology-inspired.
Area of Science:
- Synthetic biology
- Systems biology
- Bioengineering
Background:
- Synthetic biology traditionally focuses on engineering biological parts for applications.
- This perspective often overlooks the complex epistemic dimensions involved.
Purpose of the Study:
- To explore the nuanced relationship between synthetic biology and engineering.
- To highlight the role of synthetic modeling in advancing the field.
Main Methods:
- Engineered genetic networks (synthetic models) implanted in natural cellular environments.
- Integration of experimental biology, mathematical modeling, and simulations.
- Case studies of synthetic modeling practices.
Main Results:
- Synthetic modeling reveals a sophisticated epistemic dimension in synthetic biology.
- This practice integrates diverse methodologies, including experimental and computational approaches.
- Synthetic modeling challenges foundational assumptions within synthetic biology.
Conclusions:
- Synthetic biology's relationship with engineering is more complex than a simple application-driven model.
- Synthetic modeling is a key practice driving the field towards a more biology-inspired paradigm.
- The integration of diverse epistemic activities enriches synthetic biology's theoretical and practical foundations.
Related Concept Videos
02:55Synthetic Biology
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
Golden rice
Golden rice is a genetically modified...
01:24Biosynthesis in Bacteria
Biosynthesis in bacteria is a fundamental anabolic process that generates essential macromolecules, including proteins, nucleic acids, lipids, and polysaccharides. These macromolecules are critical for cellular growth, replication, and function. The process is tightly regulated and energetically linked to catabolic pathways to ensure optimal resource utilization.Biosynthetic pathways begin with precursor metabolites such as pyruvate, acetyl-CoA, and glucose-6-phosphate derived from glycolysis,...
01:12Modeling and Similitude
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
01:23Characteristics of Life
Biology is a natural science that studies life and living organisms, including their structure, function, development, interactions, evolution, distribution, and taxonomy. The field's scope is extensive and divided into several specialized disciplines, such as anatomy, physiology, ethology, genetics, and many more. All living things share a few key traits, including cellular organization, heritable genetic material and the ability to adapt/evolve, metabolism to regulate energy needs, the...
01:21Mechanistic Models: Overview of Compartment Models
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
01:30Typical Model Studies
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.