Horia Todor's reviewed output centers on two complementary, methodologically ambitious 2026 bacterial genomics studies. In the pooled-AlphaFold3 study, a genome-scale screen of all Mycoplasma genitalium protein pairs (476 proteins; 113,050 pairwise and 636,516 tripartite predicted PPIs) was completed with only 2,027 pooled jobs and ~68 person-days of runtime β a dramatic efficiency gain over all-by-all pairwise folding . Critically, the author identified and corrected a protein-size bias in AlphaFold3 ipTM scores, lifting AUROC against STRING experimental interactions from 0.37 (raw ipTM) to 0.81 for strong interactions and 0.92 when combined with PPI-profile correlations β a textbook example of recognizing and quantifying a systematic measurement bias rather than accepting raw model output .
The second paper applies comparable rigor experimentally: an 11,566-sgRNA pooled CRISPRi library across 149 stress conditions in B. subtilis, with orthogonal validation (BACTH, AlphaFold3 modelling, HPLC muropeptide analysis, disk diffusion) assigning functions to previously uncharacterized genes (YneF, YbfF, YybS) . Notably, the author released pooling code (GitHub: horiatodor/pooled-af3) and deposited all AlphaFold3 outputs on Zenodo, supporting reproducibility .
Both papers carry candid limitations sections: seed-dependent ipTM variability (cross-pool correlation of only r = 0.670 for 38,718 pairs in multiple pools), largely computational validation in a single streamlined genome, and reliance on CRISPRi knockdowns with potential off-target/polar effects . No conflict-of-interest statements were declared in either paper; OpenAlex citation metrics could not be retrieved (API rate-limited), so bibliometric impact remains unknown.
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