ArticleBMC systems biology2008
OptCircuit: an optimization based method for computational design of genetic circuits.
Article in BMC systems biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- GCAD: A Computational Framework for Mammalian Genetic Program Computer-Aided Design.ACS synthetic biology · 2026Article
- Synthetic Biology of Plants and Microbes for Agriculture, Environment, and Future Applications.Chemical reviews · 2026Review
- GCAD: a Computational Framework for Mammalian Genetic Program Computer-Aided Design.bioRxiv : the preprint server for biology · 2025Article
- Automatic design of gene regulatory mechanisms for spatial pattern formation.NPJ systems biology and applications · 2024Article
- Engineering the next generation of theranostic biomaterials with synthetic biology.Bioactive materials · 2024Review
- Bayesian Optimization for Design of Multiscale Biological Circuits.ACS synthetic biology · 2023Article
- Biocircuits in plants and eukaryotic algae.Frontiers in plant science · 2022Review
- Using EuGeneCiD and EuGeneCiM computational tools for synthetic biology.STAR protocols · 2021Article
- Article
- Designing synthetic networks in silico: a generalised evolutionary algorithm approach.BMC systems biology · 2017Article
- Design Automation in Synthetic Biology.Cold Spring Harbor perspectives in biology · 2017Review
- A computational method for the investigation of multistable systems and its application to genetic switches.BMC systems biology · 2016Article
- Process-based design of dynamical biological systems.Scientific reports · 2016Article
- Multi-objective optimization framework to obtain model-based guidelines for tuning biological synthetic devices: an adaptive network case.BMC systems biology · 2016Article
- From Boolean Network Model to Continuous Model Helps in Design of Functional Circuits.PloS one · 2015Article
- Multicriteria global optimization for biocircuit design.BMC systems biology · 2014Article
- Parts & pools: a framework for modular design of synthetic gene circuits.Frontiers in bioengineering and biotechnology · 2014Review
- How to make a synthetic multicellular computer.PloS one · 2014Article
- Design of synthetic biological logic circuits based on evolutionary algorithm.IET systems biology · 2013Article
- Design of synthetic genetic oscillators using evolutionary optimization.Evolutionary bioinformatics online · 2013Article
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2 authors.
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Abstract
backgroundRecent years has witnessed an increasing number of studies on constructing simple synthetic genetic circuits that exhibit desired properties such as oscillatory behavior, inducer specific activation/repression, etc. It has been widely acknowledged that that task of building circuits to meet multiple inducer-specific requirements is a challenging one. This is because of the incomplete description of component interactions compounded by the fact that the number of ways in which one can chose and interconnect components, increases exponentially with the number of components.
resultsIn this paper we introduce OptCircuit, an optimization based framework that automatically identifies the circuit components from a list and connectivity that brings about the desired functionality. Multiple literature sources are used to compile a comprehensive compilation of kinetic descriptions of promoter-protein pairs. The dynamics that govern the interactions between the elements of the genetic circuit are currently modeled using deterministic ordinary differential equations but the framework is general enough to accommodate stochastic simulations. The desired circuit response is abstracted as the maximization/minimization of an appropriately constructed objective function. Computational results for a toggle switch example demonstrate the ability of the framework to generate the complete list of circuit designs of varying complexity that exhibit the desired response. Designs identified for a genetic decoder highlight the ability of OptCircuit to suggest circuit configurations that go beyond the ones compatible with digital logic-based design principles. Finally, the results obtained from the concentration band detector example demonstrate the ability of OptCircuit to design circuits whose responses are contingent on the level of external inducer as well as pinpoint parameters for modification to rectify an existing (non-functional) biological circuit and restore functionality.
conclusionOur results demonstrate that OptCircuit framework can serve as a design platform to aid in the construction and finetuning of integrated biological circuits.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.