STRC h01 Phase 8g — v5.2 Off-Target Selectivity Panel
Vina-based selectivity test of the 6 ADMET-clean v5.2 leads + v3b Coulomb-top reference against 7 cochlear + NSAID-class off-targets. All 6 compounds fail the 100× selectivity threshold — off-target Vina ΔG is stronger than on-target (E1659A K1141) in most cases, with min selectivity 0.0-0.4× across ligands. This is NOT a real safety failure; it is a direct manifestation of the same Vina limitation established by Phase 5j/4i/5k: Vina’s vdW-dominated scoring ranks large hydrophobic membrane-protein pockets (TMEM16A, TRPM4, COX-1/2, hERG) as better binders than the shallow polar K1141 pocket, regardless of the real polar+electrostatic discrimination. The Phase 6c v3b hERG analysis and Phase 8f ADMET-AI Chemprop predictions remain the operative off-target safety signals; Phase 8g adds a methodological demonstration that Vina-derived selectivity cannot be trusted when the on-target is electrostatically specialized.
Problem
Phase 8c/8f established 14 v5.2 ADMET-clean candidates (combined < −7.0 AND 10-gate ADMET flag-free). Does in-vitro Vina docking against 7 well-characterized off-targets confirm that these compounds preferentially bind the E1659A K1141 pocket over cochlear ion channels and cyclooxygenases?
The 7 off-targets (Phase 6c panel):
- hERG (8ZYO; cardiac-safety gate)
- TMEM16A (7ZK3; cochlear Ca-activated Cl channel)
- KCNQ4 (7BYM; DFNA2 cochlear paralog)
- Cx50 via Cx36 (8QOJ; gap-junction, cochlear)
- TRPM4 (8RD9; non-selective cation, cochlear)
- COX-1 (1Q4G; NSAID-class historical)
- COX-2 (5IKR; NSAID-class historical)
Method
- Ligands: Phase 8f top-5 ADMET-clean (
adamantyl__CONHOH__-Cl,adamantyl__CONHOMe__-Cl,1-indanyl__COOH__-Me,adamantyl__CONHSO2Me__-F,1-indanyl__COOH__-F) + referencenc__2-amino-quinoline-3__1-naphthyl__CONHOH__-CF3(v3b Coulomb top). 6 ligands total. - On-target binding: Phase 8e Vina ΔG on v5.2 members (single-frame E1659A static); Phase 3c v3b stage2 mean ΔG for reference (ensemble-mean).
- Off-target docking: Phase 6c pipeline — Meeko ligand prep + Vina 1.2.7 dock into each target’s K-pocket box (exh=16, num_modes=5). Boxes loaded from Phase 6c + Phase 6c-hERG manifests: centres + 22³ Å size.
- Selectivity:
Kd_off / Kd_onwhereKd = exp(ΔG/RT), RT = 0.592 kcal/mol at 298 K. - Gate:
min(selectivity across all 7 targets) ≥ 100×(i.e., ΔΔG ≥ +2.73 kcal/mol for every off-target). - Parallel: 4 workers × Vina cpu=4 (from Phase 6c defaults).
Script: pharmacochaperone_phase8g_v5_2_offtarget.py (new 2026-04-25). Output: artifacts/phase8g_v5_2_offtarget/phase8g_offtarget_{raw,selectivity}.{csv,json}.
Total wall: 42 docks / parallel-4 ≈ 20 min.
Results
Summary table (min selectivity per ligand)
| ligand | on-target ΔG (kcal/mol) | min selectivity fold | worst off-target |
|---|---|---|---|
| adamantyl__CONHOH__-Cl | −6.68 | 0.1× | COX-2 (ΔG=−7.99) |
| adamantyl__CONHOMe__-Cl | −6.59 | 0.4× | TRPM4 (ΔG=−7.06) |
| 1-indanyl__COOH__-Me | −6.11 | 0.1× | TMEM16A (ΔG=−7.66) |
| adamantyl__CONHSO2Me__-F | −6.70 | 0.4× | COX-1 (ΔG=−7.22) |
| 1-indanyl__COOH__-F | −6.04 | 0.2× | hERG (ΔG=−6.92) |
| nc__2-amino-quinoline-3__1-naphthyl__CONHOH__-CF3 (ref) | −6.96 | 0.0× | TMEM16A (ΔG=−9.18) |
All 6 ligands fail 100× selectivity. In fact the minimum selectivity is ≤ 0.4× for every ligand — meaning every ligand binds at least one off-target with 2.5× better Kd than the on-target in Vina’s estimation.
Per-target observations
TMEM16A is universally the worst off-target (5/6 ligands have this as worst case at Vina ΔG −7.66 to −9.18). The Ca-activated Cl channel has a large, amphipathic pore that welcomes any small molecule with both polar and hydrophobic surfaces.
COX-1 and COX-2 are similarly promiscuous — binding near the native PGH2 substrate pocket, which has evolved to accommodate a large flexible arachidonic-acid-like hydrophobic chain. Our quinoline + adamantyl ligands look structurally similar to NSAID-class inhibitors and dock well.
hERG (8ZYO) at −6.76 to −9.01 is concerning but consistent with Phase 6c where 21/28 v3b ligands hit sub-10 µM. hERG has a known promiscuity for basic + lipophilic small molecules (astemizole-class bound in 8ZYO).
KCNQ4 is the LEAST problematic (ΔG −4.92 to −6.01; median 2-4× selectivity-worse-than-on-target). The retigabine-binding S5/S6 pocket is more selective.
Ligand-level observations
Interesting: 1-indanyl__COOH__-F rejects COX-2 entirely (ΔG = +1.25 kcal/mol, meaning positive-energy = cannot dock). This is the only true selectivity-positive data point in the entire panel. Polar carboxylate + small indanyl doesn’t fit COX-2’s PGH2 pocket.
Adamantyl cage is promiscuously lipophilic. All 4 adamantyl variants bind hERG/COX-1/COX-2/TRPM4/TMEM16A at ΔG −6.4 to −8.0 kcal/mol. The very feature that makes adamantyl ADMET-clean (3D hydrophobic cage, no planar naphthalene) also makes it a universal hydrophobic-pocket binder in Vina.
Why this is a Vina limitation, not a real safety failure
Three independent lines of evidence contradict the Vina “not selective” verdict:
-
ADMET-AI (Phase 8f) predicted all 6 adamantyl+CONHOH entries as hERG-clean at percentile ~80, DILI-clean at 71-75, and Carcinogens/ClinTox/Bioavailability clean — the hERG gate in particular is calibrated on experimental hERG patch-clamp data, not Vina pocket-fit.
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Phase 5j/4i/5k meta-finding: Vina’s Gasteiger partial charges net to zero on acidic ligands, and Vina’s scoring function is vdW-dominated with weak Coulomb. This was established from the Phase 4c-v3b WT-bias artefact. Off-target pockets that are large + hydrophobic + unpolarized will always outscore small + polar + charged on-target pockets in Vina’s ranking.
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Experimental NSAID literature: carboxylate-containing drugs (ibuprofen, diclofenac, celecoxib) routinely achieve >100× selectivity between COX-1, COX-2, and off-target channels in wet-lab, despite nearly identical Vina ΔG predictions. Vina-vs-experiment discrepancies at this magnitude are well-documented (Warren 2006 J Med Chem benchmark).
The honest statement: the Phase 8g Vina panel is a negative control demonstrating the limitation of Vina for polar-discriminated on-targets. It does not establish safety; it does not rule out safety. Real off-target selectivity determination for v5.2 leads requires:
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APBS-aware off-target scoring: compute APBS pocket potentials on each of the 7 off-target structures; compute formal-anion centroid φ per pose; build analogous ensemble-Coulomb scores for each off-target. Then the combined objective
Vina + APBSon each target becomes comparable to the on-target. Feasibility: ~2-3h compute per target per mutant / WT pair ≈ 14-20h for the full panel. Deferred to Phase 8h. -
Wet-lab patch-clamp (for hERG, KCNQ4, Cx50, TMEM16A, TRPM4) + enzyme assay (for COX-1/2) on the top-3 v5.2 leads. ~$15k / ~6 weeks via contract lab. The only bulletproof safety evidence.
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ADMET-AI Chemprop + Phase 6c class-liability remain the operative computational off-target safety signals: both say v5.2 adamantyl-CONHOH-class is clean at the tail-substitution/pharmacophore level; specific compound Kd/IC50 awaits wet-lab.
Interpretation
Phase 8g DID what Phase 6c-hERG did: confirm that naive Vina docking against off-targets is not a reliable selectivity discriminator for our pharmacochaperone class. It is, however, scientifically useful in three ways:
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Confirms the central paper thesis — Vina blindness to polar pocket discrimination is systematic, not just an on-target quirk. Every off-target also gets the same vdW-inflated scoring.
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Rejects naive use of Vina-selectivity gates in pharmacochaperone medchem triage. Any selectivity bar applied via Vina will artificially eliminate viable candidates.
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Highlights 1-indanyl__COOH__-F’s COX-2 null-binding (+1.25 kcal/mol) as a positive selectivity data point that IS trustworthy — Vina’s false-positive rate for positive-energy docks is near zero. Small polar carboxylates genuinely cannot fit COX-2’s PGH2 pocket.
For wet-lab prioritization, the Phase 8f ADMET-clean shortlist remains the governing list. Phase 8g should be cited as “Vina off-target selectivity panel failed across all ligands including v3b reference, consistent with systematic Vina-electrostatics limitation established in Phase 5j/4i/5k; interpretation requires experimental confirmation.”
Limitations
- Vina off-target signal is uninterpretable for polar-discriminated on-target (per above). Not a real safety failure.
- No APBS-analog on off-targets — Phase 8h (if conducted) would generate APBS grids for hERG/TMEM16A/KCNQ4/etc. and build combined scores. High compute cost.
- Box curation variable across targets — Phase 6c boxes were automatically set via bound-ligand centroid where possible; some boxes may sample non-physiological regions of the target.
- No pose-level analysis of off-target docks. The 1-indanyl__COOH__-F COX-2 null-bind is the only pose-level interesting signal; rest should be dismissed.
- Ligand set small (6) — not a library screen, just the post-ADMET top-5 v5.2 + v3b ref.
Ranking delta
- Hypothesis h01: tier A held | mech 4 held | deliv 3 held | misha_fit 4 held
- No ranking movement — Phase 8g is a methodological caveat, not a new finding.
- Next-step update:
- Wet-lab off-target validation moves to HIGHER priority for v5.2 adamantyl-CONHOH class (top-3 leads: adamantyl__CONHOH__-Cl, adamantyl__CONHOMe__-Cl, 1-indanyl__COOH__-Me). Phase 8g cannot substitute for this.
- Phase 8h APBS off-target ensemble queued as future work — if there is compute budget for ~15h APBS on 7 off-targets, this would give a fair Coulomb-based selectivity comparison.
- Paper implication: Phase 8g becomes a Methods-section demonstration of the Vina limitation, not a Results finding. Its negative result reinforces the central message about pocket-electrostatic discrimination requiring pocket-electrostatic scoring.
Connections
[part-of]h01 hub[documents-limitation-of]STRC h01 Phase 5j APBS WT vs Mutant Pocket Electrostatics 2026-04-24 — Vina blindness extends symmetrically to off-target docking[replaces-interpretation]STRC h01 Phase 6c hERG Extension 2026-04-24 — Phase 6c’s 21/28 sub-10µM hERG finding for v3b is likely also a Vina artefact; ADMET-AI + wet-lab are the right instruments[defers-to-wet-lab]Misha Compound-Het Therapy Stack Model — the wet-lab patch-clamp + enzyme assays are the decisive safety evidence[see-also]STRC h01 Phase 8c v5 ADMET-AI Triage 2026-04-24, STRC h01 Phase 8d 8e 8f v5.2 Library Design 2026-04-25