Condition aware learning enables robust prediction of oligonucleotide melting behavior across diverse chemistries and assay conditions
Oligonucleotide melting temperature is a fundamental determinant of nucleic acid hybridization and underpins the design of molecular diagnostics, polymerase chain reaction assays, and many other biotechnology applications. However, accurately predicting melting behavior remains difficult because it depends not only on sequence composition, but also on experimental conditions and chemical modifications commonly used in modern assay design. Existing thermodynamic models rely on fixed parameterizations that are often difficult to extend across diverse reaction environments and nucleotide chemistries. Here we show that a condition-aware nucleotide language model can accurately predict oligonu...
| Authors | Danielle L. Ferreira, Lifeng Lin, Adam Aslam et al. |
|---|---|
| Primary category | q-bio.BM |
| Published | 5 August 2026 |
| Last updated at source | 5 August 2026 |
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