A resistance-orthogonal antibody–drug conjugate design for triple-negative breast cancer refractory to datopotamab deruxtecan

Decoding topoisomerase-I payload cross-resistance and re-specifying antigen, warhead, linker, and DAR

Generated by: Cancer-Tailored ADC Design Engine (Modules A–E)  ·  Case: metastatic TNBC, progressed on Dato-DXd  ·  Data: ChEMBL, PubChem, Open Targets, cBioPortal, GTEx, Human Protein Atlas, UniProt, PDB, AlphaFold, ClinicalTrials.gov, Drugs@FDA, PubMed  ·  Status: in-silico design hypothesis — not experimentally validated

Abstract

Background. Datopotamab deruxtecan (Dato-DXd) pairs an anti-TROP2 antibody with DXd, a topoisomerase-I (TOP1) inhibitor. Patients with triple-negative breast cancer (TNBC) who progress on Dato-DXd have, by definition, failed the TROP2/TOP1-inhibitor axis and are at risk of payload-class cross-resistance to the other approved TOP1-inhibitor ADCs — trastuzumab deruxtecan and sacituzumab govitecan.

Approach. A five-module engine (A: resistance decode; B: target selection with a tumor-versus-normal safety filter; C: payload/linker/DAR; D: structural assembly; E: competitive/regulatory landscape) was run end-to-end on live public data to specify a mechanistically orthogonal ADC.

Result. The engine recommends an anti–LIV-1 (SLC39A6) humanized IgG1 carrying MMAF (a tubulin inhibitor, mechanistically independent of the SLFN11/DNA-damage-response and P-glycoprotein-efflux resistance that defeats TOP1-inhibitor payloads) via a non-cleavable maleimidocaproyl linker at a site-specific DAR of 4, with a duocarmycin/PBD backup for low-density antigens. The design differentiates from the stalled LIV-1 precursor ladiratuzumab vedotin on warhead, linker chemistry, and conjugation homogeneity, and occupies an explicit non-TOP1i white space in the post-Dato-DXd line. Boltz-2 structure prediction (NVIDIA BioNeMo) confirmed a well-folded anti-B7-H3 Fab–antigen reference complex (interface ipTM 0.55) and, folding all three candidate ectodomains, revealed a structural axis that inverts the expression ranking — B7-H3 folds confidently (mean pLDDT 91) while the LIV-1 ectodomain is largely disordered (33), flagging epitope quality as the key risk to retire for the expression-leading target.

1. Introduction

Antibody–drug conjugates (ADCs) have reshaped the treatment of metastatic breast cancer, but their sequencing has created a structural problem: three of the four ADCs approved in the breast setting carry the same payload mechanism. Trastuzumab deruxtecan and datopotamab deruxtecan both deliver DXd, and sacituzumab govitecan delivers SN-38 — all three are topoisomerase-I (TOP1) inhibitors of the camptothecin/exatecan class (Table 1). A patient who progresses on datopotamab deruxtecan (Dato-DXd) has therefore failed not only a specific drug but an entire payload class, and the biology that drives that failure — silencing of the DNA-damage sensor SLFN11, acquired TOP1 mutations, and drug efflux — is shared across the class.

The central design question is not "which ADC is best for TNBC" but "which ADC is orthogonal to the resistance the patient has already selected for." This is a per-patient, per-mechanism decision, and it motivates an engine that starts from the failed drug and works backward to a design whose antigen, payload mechanism, and chemistry share as little biology as possible with the resistance in play. Here we run that engine on the concrete case of TNBC refractory to Dato-DXd.

Table 1. Approved ADCs in the breast setting. Three of four share a topoisomerase-I payload (highlighted); a Dato-DXd–refractory patient has failed this axis.

ADCTargetPayloadPayload classFDA approvalApplication
Trastuzumab emtansine (T-DM1, Kadcyla)HER2DM1 (maytansinoid, anti-microtubule)microtubule (maytansinoid)2013-02-22BLA125427
Trastuzumab deruxtecan (T-DXd, Enhertu)HER2 / HER2-lowDXd (deruxtecan, TOP1 inhibitor)TOP1 inhibitor2019-12-20BLA761139
Sacituzumab govitecan (SG, Trodelvy)TROP2SN-38 (TOP1 inhibitor)TOP1 inhibitor2020-04-22BLA761115
Datopotamab deruxtecan (Dato-DXd, Datroway)TROP2DXd (deruxtecan, TOP1 inhibitor)TOP1 inhibitor2025-01-17BLA761394

2. The design engine and data sources

The engine is organized as five modules executed in a dependency chain (Fig. 1). Each module queries live public databases rather than fixed values, so the same pipeline generalizes to other indication/failed-drug pairs.

Engine pipeline schematic
Figure 1. Engine architecture. Input is a (indication, failed-drug) pair. Module A decodes the resistance mechanism and the payload mechanism-of-action to avoid; Module B ranks alternative surface antigens by tumor prevalence against a normal-tissue safety window; Module C selects an orthogonal payload, linker, and drug-to-antibody ratio (DAR); Module D retrieves antibody/antigen structures and specifies the co-folding and interface-redesign protocol; Module E maps the competitive and regulatory landscape. All modules draw on the live data sources listed.

Module A used ChEMBL and PubChem for drug/payload composition and mechanism, and PubMed/bioRxiv for resistance literature. Module B combined Open Targets (target–disease association), cBioPortal (TNBC cohort genomics), GTEx (normal-tissue expression) and the Human Protein Atlas (normal and tumor tissue, subcellular localization), with UniProt confirming plasma-membrane topology. Module C used ChEMBL and PubChem for payload potency, physicochemistry, and efflux-substrate status. Module D retrieved structures from the PDB and AlphaFold, and a Boltz-2 NIM (NVIDIA BioNeMo) was registered and run for the folding steps; the inverse-design steps (ProteinMPNN, backbone generation) are specified but were not executed (see §6). Module E queried ClinicalTrials.gov and Drugs@FDA. Identifiers cited below are those returned by these queries.

3. Resistance decode: why Dato-DXd fails, and what to avoid

Dato-DXd (ChEMBL CHEMBL4297939) is a humanized anti-TROP2 (TACSTD2) IgG1 conjugated through a cleavable GGFG tetrapeptide linker to DXd, an exatecan-derived TOP1 inhibitor, at a drug-to-antibody ratio of approximately 4. DXd traps the TOP1–DNA cleavage complex, producing replication-associated double-strand breaks; the released warhead is membrane-permeable and produces a bystander effect on neighboring TROP2-negative cells. This mechanism, and the resistance it selects for, defines the constraints on any successor design.

Module A partitioned documented and mechanistically-expected resistance into five buckets, each mapped to a design lever (Fig. 2). The dominant, class-defining driver is at the payload level: silencing of SLFN11 — the canonical resistance biomarker shared across TOP1, TOP2, platinum, and PARP inhibitors — together with acquired on-treatment TOP1 mutations (reported in roughly one in eight ADC-progressing metastatic breast cancers)8 and upregulation of the DNA-damage response. Because these mechanisms are engaged by replication-blocking DNA damage per se, they confer cross-resistance to any TOP1-inhibitor payload, not merely to DXd. A second bucket, drug efflux via ABCG2 (BCRP) and ABCB1 (P-glycoprotein), pumps out DXd and SN-38 and compounds the class effect. TROP2 antigen downregulation, impaired lysosomal trafficking, and apoptosis evasion complete the picture.

Resistance buckets and design levers
Figure 2. Dato-DXd resistance mechanisms mapped to design levers. Five resistance buckets (left) and the design change that neutralizes each (right). The payload/DDR bucket (dashed outline) is the dominant, class-defining driver: SLFN11 silencing, acquired TOP1 mutation, and DDR upregulation confer cross-resistance to every TOP1-inhibitor payload. The engine's central move is to abandon the TOP1-inhibitor class entirely.

Verdict from Module A

Payload mechanism to avoid: topoisomerase-I inhibitors (DXd, SN-38, exatecan/camptothecins).

Cross-resistant ADCs not to reuse: trastuzumab deruxtecan (identical DXd payload) and sacituzumab govitecan (SN-38 payload and the same TROP2 antigen — a double overlap).

Orthogonal payload classes: microtubule inhibitors (auristatins, maytansinoids) and DNA minor-groove alkylators/crosslinkers (duocarmycin, PBD, IGN), which are treated as SLFN11-independent; and, as a novelty option, the RNA-polymerase-II inhibitor α-amanitin. TROP2 need not be abandoned in principle, but is de-prioritized here given antigen-loss risk in the refractory setting.

4. Target selection: tumor prevalence against a normal-tissue safety window

An ADC target is not simply a gene that is highly expressed in the tumor; it is a gene that is high in the tumor and low in the normal tissues whose damage would be dose-limiting. Module B scored twelve membrane-confirmed TNBC surface antigens on both axes, cross-referencing Open Targets association and Human Protein Atlas tumor expression against GTEx normal-tissue expression across heart, lung, liver, kidney, gastrointestinal tract, brain, marrow, and skin (Fig. 3).

Target safety window scatter
Figure 3. Target safety window. TNBC target–disease association (Open Targets, y) against maximum normal-tissue expression (GTEx TPM, x, log scale, inverted so safer targets fall to the right); color encodes the qualitative safety window. The incumbent TROP2 sits at upper-left — highest association but very high normal-tissue expression, and it is the failed antigen. LIV-1 (outlined) balances a workable normal-tissue window with validated TNBC association; ROR1 has the widest intrinsic window but lower/variable TNBC prevalence.

The ranking (Table 2) places LIV-1 (SLC39A6) first. LIV-1 is a zinc transporter enriched in TNBC, confirmed as a multi-pass plasma-membrane protein with an extracellular ectodomain, and — critically — already antigen-validated by a clinical ADC. Its normal-tissue expression is moderate (skin and cerebellum in the ~50–60 TPM range), giving an acceptable rather than pristine window. B7-H3 (CD276) ranks second: broadly expressed across TNBC tumor and stroma with a moderate window, but its leading ADC uses a TOP1-inhibitor payload (see §6). ROR1 ranks fourth with the widest intrinsic safety window (oncofetal, near-absent in adult normal tissue) but lower and more variable TNBC prevalence. TROP2 itself falls to rank 7 — extremely high association but a narrow window and the antigen the patient has already failed.

Table 2. Top-ranked alternative antigens (of twelve evaluated), scored on TNBC association/prevalence against normal-tissue expression and dose-limiting-toxicity (DLT) organ risk. LIV-1 highlighted.

RankGeneProteinTNBC association / prevalenceMax normal TPM / DLT organWindowExisting ADC
1SLC39A6LIV-1 / ZIP6 (Zinc transporter)0.07 / ~65-90%59.8 TPM · Skin & CNS (moderate ZIP6 in skin ~60 TPM, cerebellum/cord ~37-49 TPM)ModerateLadiratuzumab vedotin (Ph1/2, TNBC)
2CD276B7-H3 (CD276)0.04 / ~60-80%32.0 TPM · Broad low-level stromal/vascular + adrenal (~32 TPM), skin, nerve — diffuse expression widens off-tumor sink but no lethal single organ; endothelial expression a theoretical vascular riskModerateIfinatamab deruxtecan (I-DXd, Ph); vobramitamab
3EGFREpidermal growth factor receptor0.32 / ~50%78.3 TPM · Skin (~78 TPM) → rash/cutaneous tox is the classic on-target DLT; nerve/esophagus moderateModerateMultiple clinical (MRG003, losatuxizumab)
4ROR1Tyrosine-protein kinase transmembrane receptor ROR10.08 / Subset6.8 TPM · Oncofetal — very low adult normal tissue (max ~7 TPM in colon/artery)WideZilovertamab vedotin (clinical)
5NECTIN4Nectin-4 (PVRL4)0.02 / ~50-60%205.2 TPM · Skin (~205 TPM) & esophageal mucosa → skin toxicity is the enfortumab vedotin dose-limiting effect (cutaneous, inclNarrowEnfortumab vedotin (Padcev, approved urothelial)
6MSLNMesothelin0.03 / ~30-35%78.3 TPM · Lung (~78 TPM) + serosal mesothelium (pleura/peritoneum/pericardium, under-sampled in GTEx) → serositis/pleuritis risk; otherwise restrictedModerateAnetumab ravtansine; others (clinical)
7TACSTD2TROP-2 (Trophoblast cell-surface antigen 2)0.55 / ~80-90%1419.1 TPM · Esophagus (1419 TPM!), skin (~700), kidney → stomatitis/skin tox (seen with SG/Dato-DXd)NarrowSacituzumab govitecan (Trodelvy, approved TNBC); Dato-DXd (INCUMBENT, progressed)

5. Payload, linker, and DAR: orthogonal by construction

The payload must share no biology with the resistance buckets in §3. The engine's key insight is that SLFN11/DDR resistance is engaged specifically by replication-blocking DNA damage; payloads that cause no DNA damage are therefore indifferent to SLFN11 status. Two classes have zero overlap with the DNA-damage axis — microtubule inhibitors (auristatins, maytansinoids) and the RNA-polymerase-II inhibitor α-amanitin — while DNA minor-groove alkylators (PBD, duocarmycin, IGN) are TOP1-orthogonal and clinically SLFN11-independent but formally share the replication-stress axis, making them a notch less orthogonal (Fig. 4).

Payload orthogonality matrix
Figure 4. Payload-class orthogonality to TOP1-inhibitor resistance. Each candidate class scored on three resistance-bypass criteria: mechanism orthogonal to TOP1 inhibition, independence from SLFN11, and resistance to P-gp/BCRP efflux. MMAF is the only class that is unambiguously orthogonal on all three (its charged C-terminal phenylalanine makes it a poor efflux substrate). The failed TOP1-inhibitor class is shown for reference (bottom row).

Within the auristatins, the choice between MMAE and MMAF is decisive for the efflux bucket. MMAE (XLogP ≈ 4.1) is membrane-permeable and a P-glycoprotein substrate — vulnerable if ABCB1 drives resistance — whereas MMAF carries a charged C-terminal phenylalanine (XLogP ≈ 2.1), is cell-impermeable, and is a poor P-gp substrate. MMAF therefore resolves all four resistance buckets at once: its tubulin mechanism is orthogonal to buckets 1–3 (no DNA damage), and its physicochemistry is orthogonal to bucket 4 (efflux).

Recommended payload–linker–DAR

PRIMARY MMAF (PubChem CID 10395173) on a non-cleavable maleimidocaproyl (MC) thioether linker at site-specific DAR 4 (engineered-cysteine/THIOMAB or enzymatic/glycan conjugation). A non-cleavable linker releases only the charged Lys-MC-MMAF catabolite, which is not membrane-permeable — eliminating re-effluxable free drug and reducing off-target toxicity.

BACKUP Duocarmycin (seco-DUBA) or a PBD/IGN dimer on a cleavable Val-Cit (or GGFG) linker at low DAR (2–2.7), for heterogeneous or low-density antigens (B7-H3, ROR1) where a membrane-permeable payload is needed for bystander killing. Therapeutic index, not potency, is the constraint here.

WILDCARD α-amanitin (transcription arrest; XLogP ≈ −4.4, non-effluxed) — the highest-novelty option, with zero cross-resistance to any marketed ADC, limited by hepatotoxicity and early clinical maturity.

This configuration also differentiates cleanly from the one LIV-1 ADC that reached the clinic. Ladiratuzumab vedotin paired LIV-1 with MMAE on a cleavable vc linker and stalled on an auristatin-class tolerability ceiling — not on target failure. The present design changes the warhead (F vs E), the linker chemistry (non-cleavable vs cleavable), and the conjugation (homogeneous site-specific DAR4 vs heterogeneous), each of which independently addresses the plausible root cause of that tolerability ceiling: premature systemic payload release and re-effluxable free drug.

6. Structural assembly

Module D confirmed LIV-1/ZIP6 (UniProt Q13433) as a multi-pass membrane protein and delineated its ADC-accessible N-terminal ectodomain (residues 29–325, after the signal peptide), retrieving the AlphaFold model AF-Q13433-F1. No experimental anti–LIV-1 antibody structure exists in the PDB, so the LIV-1 binder must be designed de novo on a humanized IgG1/κ Fab framework. To ground the structural workflow, the module retrieved validated antibody–antigen complexes for the backup antigens — including an anti-B7-H3 Fab bound to the CD276 ectodomain (PDB 9LY5; Fig. 5) and an anti-ROR1 Fv–Kringle-domain complex (PDB 6BA5) — which serve both as backup-target scaffolds and as templates that anchor the co-folding protocol.

Antibody-antigen complex structure
Figure 5. Retrieved antibody–antigen scaffold (PDB 9LY5). Cα backbone of an anti-B7-H3 Fab (heavy and light chains) bound to the CD276 ectodomain, with paratope–epitope contacts within 8 Å highlighted (orange). This experimental complex anchors the structural module; the interface (orange) is the region a subsequent ProteinMPNN step would redesign for affinity maturation while holding the epitope fixed. The .cif files for this, the LIV-1 AlphaFold model, and the Boltz-2 predictions (Fig. 7) are provided as artifacts and open in the interactive 3D viewer.

The specified protocol is: (1) fold the LIV-1 ectodomain; (2) co-fold the humanized Fab VH+VL with the ordered ectodomain epitope using Boltz-2 or Chai-1, ranking poses by ipTM and interface pLDDT; (3) redesign CDR/paratope residues with ProteinMPNN while holding the epitope fixed; (4) validate each design by re-folding and accepting only those that improve interface metrics; (5) graft accepted VH/VL into full IgG1 for conjugation.

Executed structural runs. A Boltz-2 service (NVIDIA BioNeMo NIM) was registered and run. Co-folding the anti-B7-H3 Fab (20G5) with the CD276 ectodomain reproduced a well-formed complex — interface ipTM 0.55 (above the 0.5 pass line), pTM 0.63, complex pLDDT 0.88 (Fig. 7) — confirming the pipeline end-to-end and providing a validated interface scaffold. Each of the three candidate-antigen ectodomains was then folded single-sequence to score the structural axis that the expression/safety ranking (§4) does not capture (Fig. 8, Table 4). The result is a genuine trade-off rather than a single winner: B7-H3 folds as ordered immunoglobulin domains (mean pLDDT 91, pTM 0.55), ROR1 is intermediate (44, 0.32), and the LIV-1 ectodomain is largely disordered (33, 0.20) — consistent with its low-complexity, His-rich sequence. Critically, this inverts the expression/safety ranking, where LIV-1 leads and B7-H3 is second.

The implication is that the engine's top target on expression and safety carries the weakest structural evidence: the LIV-1 ectodomain offers no confidently-folded region to anchor an epitope, flagging epitope quality as a real development risk. The design response is to define the LIV-1 binding epitope on its most ordered subsegments and to re-fold with a multiple-sequence alignment before committing to a paratope; where structural tractability is weighted heavily, B7-H3 becomes the stronger structural lead (with the countervailing caveat that its leading clinical ADC uses a cross-resistant TOP1i payload — see §7). Steps 3–5 of the protocol — de novo LIV-1 binder generation, ProteinMPNN interface redesign, and IgG1 grafting — require a backbone-design step (RFdiffusion-class) not available as a registered service in this run and are the immediate next experiment.

Boltz-2 fold confidence comparison
Figure 7. Boltz-2 structural results. Left: per-residue pLDDT along the LIV-1 ectodomain is low throughout (mean ≈ 33), with the His-rich/low-complexity and disordered stretches (shaded) offering no defined fold. Right: global confidence for the two executed runs — the retrieved B7-H3 Fab–antigen complex passes on interface (ipTM 0.55) and fold (pLDDT 0.88), whereas the single-sequence LIV-1 target fold does not. Interface ipTM is undefined for the LIV-1 monomer. Predicted .cif structures are provided as artifacts and open in the interactive 3D viewer.
Structural axis comparison across targets
Figure 8. Structural axis across candidate targets. Left: Boltz-2 per-residue pLDDT along each candidate ectodomain (positions normalized) — B7-H3 (blue) is confidently folded across its length, ROR1 (green) intermediate, LIV-1 (orange) low throughout. Right: structural confidence against the expression/safety rank from §4; the two axes disagree — LIV-1 leads on expression but trails on structure, B7-H3 the reverse. All ectodomains folded single-sequence under identical settings.

Table 4. Structural axis (Boltz-2, NVIDIA BioNeMo). Ectodomain ranges from UniProt topology; folds run single-sequence under identical parameters. Expression/safety rank is carried from Table 2.

TargetEctodomain (UniProt)pTMMean pLDDTConfidenceExpression rankStructural read
B7-H3 (CD276)29–4660.55910.842Ordered Ig domains — strongest structural lead
ROR130–4060.32440.424Intermediate; mixed order
LIV-1 (SLC39A6)29–3250.20330.311Largely disordered — epitope-quality risk

Reference complex: anti-B7-H3 Fab + CD276 co-fold — interface ipTM 0.55, pTM 0.63, complex pLDDT 0.88.

Final construct

Final ADC construct schematic
Figure 6. Recommended ADC construct. Humanized anti–LIV-1 IgG1 with an affinity-matured CDR paratope, carrying four MMAF payloads via non-cleavable MC linkers at site-specific positions (DAR 4). Each design axis — antigen, payload mechanism, linker chemistry — is orthogonal to the topoisomerase-I resistance that defeated Dato-DXd.

7. Competitive and regulatory landscape

The metastatic TNBC ADC market is saturated with TOP1-inhibitor payloads (Table 1). A patient refractory to Dato-DXd has failed the TROP2/TOP1i axis and is at risk of cross-resistance to the remaining TOP1i ADCs — including the leading B7-H3 agent, ifinatamab deruxtecan (I-DXd), which is also DXd-based. The white space is therefore a mechanistically orthogonal ADC: a non-TOP1i payload against a non-TROP2/HER2 antigen (Table 3).

TargetKey agentsRepresentative trials (NCT)Competitive read
LIV-1 (SLC39A6)ladiratuzumab vedotin (SGN-LIV1A, MMAE) - Seagen/Pfizer
BRY812 (LIV-1 ADC, early)
NCT01969643, NCT03310957, NCT04032704, NCT01042379LOW-MODERATE (validated antigen, incumbent stalled on tolerability, few active competitors)
B7-H3 (CD276)ifinatamab deruxtecan (I-DXd, DS-7300, TOP1i/DXd) - Daiichi/Merck
MGC018/vobramitamab duocarmazine (duocarmycin) - MacroGenics (TERMINATED)
IDE034
NCT06330064, NCT06780085, NCT07630974, NCT03729596HIGH (crowded, but dominated by TOP1i payload - cross-resistance caveat)
ROR1zilovertamab vedotin (MK-2140, MMAE) - Merck/VelosBio
NBE-002 (anthracycline ADC) - NBE-Therapeutics (TERMINATED)
TQB2101
NCT03833180, NCT04504916, NCT06717347, NCT05139017MODERATE in heme (Phase 3), LOW/unproven in TNBC solid-tumor setting
TROP2 (index / cross-resistance reference)datopotamab deruxtecan (Dato-DXd, DXd)
sacituzumab govitecan (SN-38)
NCT05104866, NCT05374512, NCT05629585, NCT03401385SATURATED (two approved TROP2/TOP1i ADCs - the space we are exiting)

Table 3. Competitive landscape by target. Trials shown are representative NCT identifiers returned by ClinicalTrials.gov. LIV-1 is validated but relatively open (its lead agent stalled on tolerability, not target failure); B7-H3 is crowded but dominated by TOP1i chemistry; ROR1 is validated in heme malignancies but largely unproven in solid tumors.

LIV-1 fits the white space precisely: antigen-validated in TNBC, its only advanced incumbent (ladiratuzumab vedotin) stalled on tolerability rather than target failure, and no site-specific-DAR MMAF-payload LIV-1 ADC has been registered. The differentiation thesis operates on three axes at once — a distinct antigen (LIV-1, avoiding the saturated TROP2/HER2 space), a distinct payload mechanism (MMAF, orthogonal to the failed TOP1i class), and engineering that targets the incumbent's therapeutic-index problem (homogeneous site-specific DAR4 plus a non-cleavable MC linker).

8. Discussion and limitations

The design is a mechanistically-reasoned hypothesis generated from live public data, not an experimentally validated asset. Several risks are explicit and must be retired prospectively:

The most important caveat is that the benefit of a non-TOP1i payload in TOP1i-refractory TNBC is mechanistically rational but not yet clinically proven; it requires a biomarker-selected, prospectively enrolled post-Dato-DXd trial with an operationalized refractory population. The LIV-1 target-validation gap (no LIV-1 ADC has shown registration-grade efficacy) is likewise unretired. Finally, the structural work was partially executed: Boltz-2 co-folding was run (validating the B7-H3 interface scaffold and revealing a low-confidence, likely-disordered LIV-1 ectodomain — an epitope-quality flag), but the de novo LIV-1 binder generation, ProteinMPNN interface redesign, and IgG1 grafting were not, because a backbone-design service was not available in this run. Those steps define the immediate next experiment.

9. Conclusion

Running the engine end-to-end on TNBC refractory to Dato-DXd converts a vague clinical problem — "the ADC stopped working" — into a specific, defensible design: an anti–LIV-1 humanized IgG1 carrying MMAF via a non-cleavable MC linker at site-specific DAR4, orthogonal to the topoisomerase-I resistance in play on antigen, payload mechanism, and chemistry, with a duocarmycin/PBD backup for low-density antigens and B7-H3/ROR1 as backup targets. The executed Boltz-2 folds add a decision the expression ranking alone could not surface: the three candidate antigens separate on a structural axis that inverts their expression ranking, so the recommendation is best read as a two-dimensional map — LIV-1 as the expression/safety lead with an epitope-quality flag to retire, B7-H3 as the structural lead conditioned on keeping a non-TOP1i payload. The same pipeline, driven by live data, generalizes to other indication/failed-drug pairs.

References

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