Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Synthetic Biology

Synthetic 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...

Mathematical Modeling: Problem Solving

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Modeling with Differential Equations

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...

Growth Models with Integration: Problem Solving

Growth Models with Integration: Problem Solving

In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Wastewater surveillance strategy as an early warning system for detecting cryptic spread of pandemic viruses.

QJM : monthly journal of the Association of Physicians·2023

Same author

Pulsatile bleeding varicose veins due to tricuspid regurgitation successfully treated with foam sclerotherapy.

Journal of postgraduate medicine·2022

Same author

Cost analysis of injection laryngoplasty performed under local anaesthesia versus general anaesthesia: an Australian perspective.

The Journal of laryngology and otology·2017

Same author

Correction to 'Control and regulation of pathways via negative feedback'.

Journal of the Royal Society, Interface·2017

Same author

A comparative study of voice outcomes and complication rates in patients undergoing injection laryngoplasty performed under local versus general anaesthesia: an Adelaide voice specialist's experience.

The Journal of laryngology and otology·2017

Same author

Modulation of Host Endocycle During Plant-Biotroph Interactions.

The Enzymes·2016

Search research articles

Related Experiment Video

Updated: Mar 12, 2026

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

Mathematical modeling and synthetic biology.

D Chandran¹, W B Copeland¹, S C Sleight¹

¹Department of Bioengineering, University of Washington, William H. Foege Building, Box 355061, Room N210E, Seattle, WA 98195-5061, USA.

Drug Discovery Today. Disease Models

|November 15, 2016

Summary

Synthetic biology uses engineering and molecular biology to program microbes for new functions. Combining modeling and experimental methods enables engineered microbes as a powerful technological platform.

More Related Videos

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Rapid Characterization of Genetic Parts with Cell-Free Systems

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

Related Experiment Videos

Last Updated: Mar 12, 2026

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

A Multilayer Microfluidic Platform for the Conduction of Prolonged Cell-Free Gene Expression

Published on: October 6, 2019

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy

Published on: April 27, 2021

Rapid Characterization of Genetic Parts with Cell-Free Systems

Rapid Characterization of Genetic Parts with Cell-Free Systems

Published on: August 30, 2021

Area of Science:

Synthetic biology
Molecular biology
Bioengineering

Background:

Synthetic biology leverages mechanistic understanding of molecular biology.
Programming microbes requires integrating mechanistic insights with engineering principles.

Purpose of the Study:

To highlight the synergistic relationship between modeling and experimental techniques in synthetic biology.
To underscore the potential of engineered microbes as a versatile technological platform.

Main Methods:

Utilizing computational modeling to design and predict the behavior of biological circuits.
Employing experimental techniques to merge models with real biological systems.
Integrating quantitative data with a library of biological 'parts' for circuit construction.

Main Results:

Demonstrated the successful integration of modeling and experimental approaches.
Validated the predictability of cellular functions through engineered biological circuits.
Showcased the utility of biological parts for constructing novel genetic circuits.

Conclusions:

The combined use of modeling and experimental methods is crucial for advancing synthetic biology.
Engineered microbes represent a viable and powerful technological platform for diverse applications.
Predictable manipulation of cellular functions is achievable through synthetic biology principles.