Statistical analysis reveals druggability and allosteric prioritization in 20,158 human proteins, indicating novel insights into metallothioneins.
Full statistical analysis of the Genesis Human Proteome Scan. 20,158 human proteins (AlphaFold v4, C-alpha only) analyzed with the Lo-Shu/Markov-Fiedler geometric framework (validated AUC=0.882; DOI: 10.5281/zenodo.20153617). Key results: (1) Drug score: mean=0.992, 99.8% DRUGGABLE, 37 BORDERLINE. (2) Allo score: mean=-24.4; top-1% threshold=-7.60 (n=203 proteins). (3) Spectral gap (Fiedler lambda3-lambda2): mean=0.017; top-1% threshold=0.122 (n=202). Novel findings: Metallothionein family (MT1A/B/E/F/G/H/L/M/X, MT2A, MT4) dominates spectral boundary ranking (spectral_gap 0.28-0.38), consistent with two-domain alpha/beta cluster architecture. MTRNR2L/Humanin-like peptides top the allosteric ranking. Q8N339 (MT1M) is a dual allosteric+Fiedler signal candidate. BORDERLINE proteins include DYNLL1, CYCS, TXN, Oncomodulins. Size confound (rho=-0.683 raw; -0.119 after OLS residualization) reported and corrected. All 4 manuscript figures and full score tables included.
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Yao-Kai Kao (2026) studied this question.
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