Table 2.
Statistics of AUP values obtained in comparing different classes of design methods on mRNA design challenges in this study.
| mRNA design challenge | Multi-epitope vaccine | Nano-luciferase | eGFP + degron | spike RBD | JEV + spike | S-2P |
|---|---|---|---|---|---|---|
| Protein length (aa) | 47 | 221 | 284 | 210 | 1303 | 1273 |
| mRNA CDS length (nt) | 144 | 666 | 855 | 633 | 3912 | 3822 |
| Standard methodsb, mean AUP (standard deviation in parentheses) | 0.34(4) | 0.36(2) | 0.40(2) | 0.39(2) | 0.40(2) | 0.40(2) |
| Stabilizing methodsc, mean AUP (standard deviation in parentheses) | 0.15(2) | 0.17(2) | 0.20(1) | 0.17(2) | 0.18(2) | 0.19(2) |
| Stabilizing methodsc, min. AUPd | 0.13 | 0.15 | 0.19 | 0.15 | 0.17 | 0.17 |
| Mean standard / min stabilized | 2.6 | 2.4 | 2.1 | 2.6 | 2.4 | 2.4 |
amRNA length = 3 ⋅ protein length + 3 (stop codon).
bUniform codons, GC codons, GENEWIZ, IDT, Twist.
cEterna p(unp) challenge, RiboTree, CDSfold, LinearDesign.
dIn all cases, minimal AUP was achieved in Eterna p(unp) challenge.