ArticleNature communications2025
High-throughput DNA melt measurements enable improved models of DNA folding thermodynamics.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Mesoscopic Calculation of Single Mismatches in RNA/DNA Hybrids: Strong Hydrogen Bonds of dTrG Affect CRISPR Off-Target Binding.The journal of physical chemistry. B · 2026Article
- High-throughput DNA melt measurements enable improved models of DNA folding thermodynamics.Nature communications · 2025Article
- Melting Profile of DNA in Crowded Solution: Model-Based Study.International journal of molecular sciences · 2025Article
- Modelling the melting of DNA oligomers with non-inert dangling ends.Frontiers in molecular biosciences · 2025Article
- Quantitative and systematic NMR measurements of sequence-dependent A-T Hoogsteen dynamics uncovers unique conformational specificity in the DNA double helix.bioRxiv : the preprint server for biology · 2024Article
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Authors and funding
7 authors.
Funding
Abstract
DNA folding thermodynamics are central to many biological processes and biotechnological applications involving base-pairing. Current methods for predicting stability from DNA sequence use nearest-neighbor models that struggle to accurately capture the diverse sequence dependence of secondary structural motifs beyond Watson-Crick base pairs, likely due to insufficient experimental data. In this work, we introduce a massively parallel method, Array Melt, that uses fluorescence-based quenching signals to measure the equilibrium stability of millions of DNA hairpins simultaneously on a repurposed Illumina sequencing flow cell. By leveraging this dataset of 27,732 sequences with two-state melting behaviors, we derive a NUPACK-compatible model (dna24), a rich parameter model that exhibits higher accuracy, and a graph neural network (GNN) model that identifies relevant interactions within DNA beyond nearest neighbors. All models show improved accuracy in predicting DNA folding thermodynamics, enabling more effective in silico design of qPCR primers, oligo hybridization probes, and DNA origami.
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