Thermodynamic and modeling insights of DNA molecular beacons with dual target binding to design for tunable fluorescent outputs
Abstract
Molecular beacons (MBs) offer a versatile platform for detecting specific nucleic acid targets based on the relative proximity of fluorophore and quencher molecules. Conventional MBs contain a single target-binding site in the loop, and hybridization has been modeled based on three specific phases: closed hairpin, random coil, and target-bound. The MB-target interactions can be tuned by stem length and target site location, while multi-site MBs introduce allosteric effects that modulate affinity and produce steeper, switch-like responses. Despite available thermodynamic models, current in silico methods do not adequately predict complex sensor outputs, especially for multi-site interactions. We present a new mathematical framework for calculating the thermodynamic parameters of MBs with two target binding sites. Our model additionally accounts for non-saturating target concentrations and target dimerization, extending its application to more complex reactions. We used three novel MB designs to validate the model, comparing single- and dual-target interactions and assessing temperature-dependent effects. Our approach captures both occupancy and temperature-dependent complex behavior of multi-site and single-site MBs, revealing how a second binding event can enhance affinity and tune the dynamic range. Full derivations and design recommendations are provided, offering a predictive tool to guide the rational design of multi-site MBs with controlled thermodynamics and fluorescent responses.The publisher's final version of this work can be found at https://doi.org/10.1039/D5AN01208B. Deposited by shareyourpaper.org and openaccessbutton.org. We've taken reasonable steps to ensure this content doesn't violate copyright. However, if you think it does you can request a takedown by emailing help@openaccessbutton.org.
Fields of Study & Subjects
Advanced biosensing and bioanalysis techniques
DNA and Nucleic Acid Chemistry
DNA and Biological Computing
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Language
- EN