Steering potentials, not bug fixes, eliminate catastrophic outliers in Boltz-2 cofold protein-ligand affinity prediction: a six-way protocol evaluation on zinc-hydroxamate MMP-1 inhibitors

End-to-end protein-ligand structure prediction with affinity heads (Boltz-2, AlphaFold3-class cofolding) has become a routine first-pass tool for virtual screening, but the rate at which these models emit physically implausible poses — and how that rate depends on inference-time configuration — remains incompletely characterised. We evaluate six published cofold configurations on 15 ChEMBL MMP-1 zinc-hydroxamate active-site ligands (1500 cofold poses per condition; 9000 total), using GFN2-xTB single-point energies on the predicted ligand geometries as a physical-plausibility readout. Standard Boltz-2 without the --use_potentials (Boltz-2x) steering flag emits catastrophic outliers (per-ligand population σ up to 14.27 kcal mol⁻¹ on CHEMBL94487, with one pose reaching an implausible +8911 kcal mol⁻¹ relative energy). Enabling --use_potentials reduces σ on the same ligand to 3.18-4.29 kcal mol⁻¹ across three independent seeds, with zero positive-energy outliers in 4500 samples (0.022%, vs. 0.188% without the flag, 9× reduction). A recently released community fork of Boltz-2 (Volgin et al., March 2026) that fixes a silent wrong-answer bug, a metal-ion C-alpha filter, and a bfloat16 dtype path does not eliminate the outliers when run without the steering flag (σ_filtered = 6.66 kcal mol⁻¹; 2/100 catastrophic poses on the canary ligand). Adding --use_potentials to the fork removes the outliers but the within-population precision remains ~2× worse than standard Boltz-2x (σ_filt 6.98 vs. 3.18 kcal mol⁻¹). The operative factor is therefore the steering-potential flag, not the bug fixes. We recommend standard Boltz-2 + --use_potentials as the canonical cofold protocol for protein-ligand affinity prediction, especially for metalloprotein active sites; a residual ≤0.025% catastrophic-failure rate remains, so xtb-based filtering of cofold poses is still mandatory downstream.