The pipeline has three in silico stages: a genetic algorithm (population 50, 5 elites) generating sequences, a stacked LASSOβXGBoost Ξ»max regressor (RΒ²=0.840, RMSE=12.64 nm, MAE=8.45 nm, <10 ms/prediction), and a first-order Markov bigram plausibility filter trained on 310 of 884 curated rhodopsins to keep search inside the proton-pump lineage . Four designs (APR1, APR2, APR6, APR7) were cloned into pLO11 and expressed in E. coli and C. necator H16. Hydroxylamine bleaching of membrane fractions gave Ξ»max of 412.5, 410, 411.5, and 410 nm respectively β far outside the natural proton-pump median of 548 nm β with oxime peaks at 350β370 nm confirming retinal binding .
In Chi.bio reactors with formate as carbon source, all APR strains grew faster under 457 nm blue light than pooled dark controls (n=52); mean exponential-phase growth rates were APR2 0.0596, APR1 0.0583, APR7 0.0560, APR6 0.0508, and GR 0.0386 hβ»ΒΉ (Welch ANOVA p=0.001), and ATP fraction rose from 0.186 to 0.252 under light .
A genuinely interesting demonstration of extrapolative AI protein design with plausible β but indirect β functional validation. The structural (AlphaFold3 pTM 0.78β0.85) and spectroscopic evidence is solid; the causal proton-pumping claim remains an inference pending direct transport assays. Confidence: moderate; preprint, single-host, no pump-rate measurement. What would change this conclusion: purified-protein action spectra, direct pH-proton flux assays, and measured photocycle kinetics matching natural pumps.
Simulated estimates only, assuming pump flux scales linearly with the observed light-minus-dark growth-rate advantage and reported ΞΌ values; assumptions untested β direct flux assays pending.
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