The paper integrates three computational approaches: KEGG-based metabolic network expansion (4,315-compound scope), ECOD fold-space networks, and WSME statistical mechanical folding models on 21 representative domains (11 Rossmann, 10 P-loop). All code is publicly released (networkExpansionPy, BABMiner, Dotate), supporting high reproducibility.
Rossmann-associated reactions vastly outnumber P-loop reactions (1,386 vs 165), and Rossmann ablation contracts scope 90.7% (400/4,315) vs 36.7%, blocking growth at seven points vs two .
Under WSME-SSA, 5 of 11 Rossmann cofactor-binding motifs fold by K/D<0.25 (earliest 16% of path) vs only 1 of 10 P-loop domains; type I P-loop motifs fold earlier only when non-local interactions are admitted (mean pmt(0.8) 0.60 WSME-exact vs 0.41 WSME-L) . Two Rossmann outliers (e3ff4A1, e2vq3A1) fold late, honestly showing the claim is not universal.
Verdict: A rigorous, transparent, multi-method synthesis with genuinely novel mechanistic framing (folding-activity congruence as an origin constraint), weakened by its fully computational basis. Disconfirmation would require demonstrated P-loop CBM early-folding parity across a larger domain set, or Ο-value/HX-MS experiments contradicting WSME predictions.
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Updated: September 07, 2026
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