Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Epistasis Analysis01:09

Epistasis Analysis

4.9K
Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
4.9K
Block Diagram Reduction01:22

Block Diagram Reduction

164
The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
164
Elements of Block Diagrams01:25

Elements of Block Diagrams

252
Block diagrams serve as a visual representation of the input-output relationships within a system. An illustrative example is a heating system, where the set temperature activates the furnace to warm the room to the desired level. Block diagrams are versatile, modeling linear systems through Laplace transform variables and nonlinear systems using time domain variables.
A block diagram typically includes essential elements such as comparators, blocks, and feedback loops. Each of these elements...
252
Network Function of a Circuit01:25

Network Function of a Circuit

266
Frequency response analysis in electrical circuits provides vital insights into a circuit's behavior as the frequency of the input signal changes. The transfer function, a mathematical tool, is instrumental in understanding this behavior. It defines the relationship between phasor output and input and comes in four types: voltage gain, current gain, transfer impedance, and transfer admittance. The critical components of the transfer function are the poles and zeros.
266
Semiconductors01:22

Semiconductors

652
There is variation in the electrical conductivity of materials - metals, semiconductors, and insulators that are showcased with the help of the energy band diagrams.
Metals such as copper (Cu), zinc (Zn), or lead (Pb) have low resistivity and feature conduction bands that are either not fully occupied or overlap with the valence band, making a bandgap non-existent. This allows electrons in the highest energy levels of the valence band to easily transition to the conduction band upon gaining...
652
Linear Circuits01:17

Linear Circuits

387
A linear circuit is characterized by its output having a direct proportionality to its input, adhering to the linearity property, which encompasses the principles of homogeneity (scaling) and additivity. Homogeneity dictates that when the input, also referred to as the excitation, is multiplied by a constant factor, the output, known as the response, is correspondingly scaled by the same constant factor. For instance, if the current is multiplied by a constant 'k,' the voltage likewise...
387

You might also read

Related Articles

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

Sort by
Same author

Informational blueprints reveal condition-dependent gene regulatory architectures.

bioRxiv : the preprint server for biology·2026
Same author

Impact of Fabrication Defects on FPGA Logic Using Memristor-Based Memory Cells.

Micromachines·2026
Same author

Predictive modeling of gene expression and localization of DNA binding site using deep convolutional neural networks.

PLoS computational biology·2026
Same author

Iterative design of a NAND hybrid riboswitch by deep batch Bayesian optimization.

Nucleic acids research·2026
Same author

Global maps of transcription factor properties reveal threshold-based formation of DNA-bound and mobile clusters.

Science advances·2026
Same author

Spatial microenvironments tune immune response dynamics in the Drosophila larval fat body.

PLoS genetics·2026

Related Experiment Video

Updated: Jun 11, 2025

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

1.7K

Energy Aware Technology Mapping of Genetic Logic Circuits.

Erik Kubaczka1,2, Maximilian Gehri1,2, Jérémie J M Marlhens1,3,2

  • 1Department of Electrical Engineering and Information Technology, TU Darmstadt, Darmstadt 64283, Germany.

ACS Synthetic Biology
|October 8, 2024
PubMed
Summary
This summary is machine-generated.

We developed Energy Aware Technology Mapping to design energy-efficient genetic logic circuits. This approach optimizes circuits for energy use, improving efficiency by 37.2% and reducing costs.

Keywords:
computer aided designenergyentropy production rategene-expressiongenetic design automationmetabolic burdennon-equilibriumsynthetic biologytechnology mappingthermodynamics

More Related Videos

Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

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

Published on: April 27, 2021

3.6K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.4K

Related Experiment Videos

Last Updated: Jun 11, 2025

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins
10:46

Gene Digital Circuits Based on CRISPR-Cas Systems and Anti-CRISPR Proteins

Published on: October 18, 2022

1.7K
Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
08:25

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

Published on: April 27, 2021

3.6K
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.4K

Area of Science:

  • Synthetic biology
  • Systems biology
  • Computational biology

Background:

  • Energy dissipation is crucial for all living systems, including cellular functions.
  • Genetic design automation (GDA) currently lacks non-equilibrium models for energy dissipation and response curves.
  • Cellular energy limitations can impair artificial genetic circuit functionality and survival.

Purpose of the Study:

  • Introduce Energy Aware Technology Mapping (EATM) for automated genetic logic circuit design.
  • Incorporate energy efficiency and functionality as key design considerations.
  • Utilize non-equilibrium models to account for energy dissipation in genetic circuits.

Main Methods:

  • Developed an energy-aware non-equilibrium steady-state model for gene expression.
  • Modeled energy dissipation, linking it to entropy production rate.
  • Incorporated transcriptional bursting relevant to both eukaryotes and prokaryotes.

Main Results:

  • Demonstrated that functional performance and energy efficiency are often disjoint optimization goals for genetic circuits.
  • Achieved an average energy efficiency improvement of 37.2% compared to functionally optimized variants.
  • Observed a linear relationship between circuit size, energy expenditure, and protein expression.

Conclusions:

  • EATM enables the design of genetic logic circuits with reduced energetic costs, equivalent to one to two fewer gates.
  • Structural variants further enhance energy efficiency, with Pareto dominance observed among structures for a single Boolean function.
  • Integrating energy demand into the design process, via EATM, leads to inherently energy-efficient genetic circuits, complementing existing burden-coping strategies.