ArticlePLoS computational biology2009
Design principles for ligand-sensing, conformation-switching ribozymes.
Article in PLoS computational biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Self-cleaving ribozymes: substrate specificity and synthetic biology applications.RSC chemical biology · 2021Review
- A cell-based ribozyme reporter system employing a chromosomally-integrated 5' exonuclease gene.BMC molecular and cell biology · 2021Article
- Methods and Applications of In Silico Aptamer Design and Modeling.International journal of molecular sciences · 2020Review
- RNA-based dynamic genetic controllers: development strategies and applications.Current opinion in biotechnology · 2018Review
- Comprehensive profiling of the ligand binding landscapes of duplexed aptamer families reveals widespread induced fit.Nature communications · 2018Article
- Twister ribozymes as highly versatile expression platforms for artificial riboswitches.Nature communications · 2016Article
- Ribozyme Catalysis with a Twist: Active State of the Twister Ribozyme in Solution Predicted from Molecular Simulation.Journal of the American Chemical Society · 2016Article
- Automated physics-based design of synthetic riboswitches from diverse RNA aptamers.Nucleic acids research · 2016Article
- Exploring the Dynamics and Mutational Landscape of Riboregulation with a Minimal Synthetic Circuit in Living Cells.Biophysical journal · 2015Article
- Dynamic signal processing by ribozyme-mediated RNA circuits to control gene expression.Nucleic acids research · 2015Article
- Using synthetic RNAs as scaffolds and regulators.Nature structural & molecular biology · 2015Article
- Multiscale methods for computational RNA enzymology.Methods in enzymology · 2015Article
- A general design strategy for protein-responsive riboswitches in mammalian cells.Nature methods · 2014Article
- A family of synthetic riboswitches adopts a kinetic trapping mechanism.Nucleic acids research · 2014Article
- A versatile framework for microbial engineering using synthetic non-coding RNAs.Nature reviews. Microbiology · 2014Review
- Gene regulation by riboswitches with and without negative feedback loop.Biophysical journal · 2012Article
- Kinetic analysis of aptazyme-regulated gene expression in a cell-free translation system: modeling of ligand-dependent and -independent expression.RNA (New York, N.Y.) · 2012Article
- Re-engineering electrochemical biosensors to narrow or extend their useful dynamic range.Angewandte Chemie (International ed. in English) · 2012Article
- Engineering biosensors with extended, narrowed, or arbitrarily edited dynamic range.Journal of the American Chemical Society · 2012Article
- Trade-offs and constraints in allosteric sensing.PLoS computational biology · 2011Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Nucleic acid sensor elements are proving increasingly useful in biotechnology and biomedical applications. A number of ligand-sensing, conformational-switching ribozymes (also known as allosteric ribozymes or aptazymes) have been generated by some combination of directed evolution or rational design. Such sensor elements typically fuse a molecular recognition domain (aptamer) with a catalytic signal generator (ribozyme). Although the rational design of aptazymes has begun to be explored, the relationships between the thermodynamics of aptazyme conformational changes and aptazyme performance in vitro and in vivo have not been examined in a quantitative framework. We have therefore developed a quantitative and predictive model for aptazymes as biosensors in vitro and as riboswitches in vivo. In the process, we have identified key relationships (or dimensionless parameters) that dictate aptazyme performance, and in consequence, established equations for precisely engineering aptazyme function. In particular, our analysis quantifies the intrinsic trade-off between ligand sensitivity and the dynamic range of activity. We were also able to determine how in vivo parameters, such as mRNA degradation rates, impact the design and function of aptazymes when used as riboswitches. Using this theoretical framework we were able to achieve quantitative agreement between our models and published data. In consequence, we are able to suggest experimental guidelines for quantitatively predicting the performance of aptazyme-based riboswitches. By identifying factors that limit the performance of previously published systems we were able to generate immediately testable hypotheses for their improvement. The robust theoretical framework and identified optimization parameters should now enable the precision design of aptazymes for biotechnological and clinical applications.
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Registered trials
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