Fig. 2: The Eterna approach transforms traditional design-build-test-learn cycles.
From: Community science designed ribosomes with beneficial phenotypes
a Our Eterna approach integrates the strengths of community scientists, university scientists, and game developers, who solve RNA design challenges by closely working together. We performed two rounds of our approach. Functionality comparison of Round 1 (R1) and Round 2 (R2) Eterna 16S rRNA b and 23S rRNA c designs in iSAT with the “pilot round” (R0) in dependence of the designs’ mutation counts. To approach the OpenRibosome Challenge, community scientists followed and combined different strategies: d secondary structure energetics, e breaking stretches of consecutive identical nucleotides, f altering base pairing in rRNA secondary structures, g integrating mutations from other gammaproteobacteria, and h integrating/ combining mutations from previous rounds. sfGFP expression in iSAT was determined by fluorescence and normalized to the maximum sfGFP of pT7-rrnB-wild type. The dotted line in d and e indicates the wild type value. Data are shown as mean ± s.d.; n ≥ 3. Source data are provided as a Source Data file. R0: “pilot round”, R1: round 1, R2: round 2, WT: wild type.
