AI-Designed Mini-Protein Precisely Targets Cancer Antigens Like a T Cell
Stanford scientists used RFdiffusion and ProteinMPNN to build a compact α-helical TCR mimic with 9.5 nM affinity for a tumor antigen — and near-perfect peptide specificity.
Summary
Researchers at Stanford used AI protein design tools to engineer a tiny, rigid four-helix protein that mimics how T cell receptors recognize cancer-specific peptides on tumor cells. Their mini-TCR mimic bound the NY-ESO-1 tumor antigen presented by HLA-A*02 with 9.5 nM affinity and showed no detectable binding to a control peptide on the same MHC molecule. A crystal structure at 2.05 Å resolution confirmed the binder docks at a TCR-like 40-degree angle and makes focused contacts with the peptide's protruding side chains. A computational screen of over 14,000 HLA-A*02 peptides correctly predicted the only two real off-target peptides. As a T cell engager format, it killed cancer cells selectively in cytotoxicity assays.
Detailed Summary
Targeting peptide-MHC complexes on cancer cells offers a powerful route to tumor immunotherapy, but existing approaches face serious limitations. Natural T cell receptors bind too weakly for therapeutic use, while engineered antibody-based TCR mimics often dock too heavily on the MHC scaffold rather than the peptide itself — driving off-target toxicity that has stalled clinical development. This study from Garcia and colleagues at Stanford set out to solve that problem from scratch using computational protein design, building a compact α-helical 'mini' TCR mimic without starting from any natural protein template.
The team deployed RFdiffusion to generate 50 candidate four-helix bundle scaffolds (80–100 amino acids) and selected the most structurally compact for fold-conditioning over the NY-ESO-1/HLA-A*02 target. The NY-ESO-1 peptide's upward-facing residues Met4, Trp5, Thr7, and Gln8 were specified as design hotspots. RFdiffusion then docked 100 distinct helical bundle folds over the peptide-MHC target, and ProteinMPNN sampled six sequences per fold, yielding 600 initial designs. AlphaFold2 scored each design using the interaction predicted aligned error (iPAE) metric; four of 100 scaffolds produced at least one design below the iPAE threshold of 10.0. Expanding to 500 sequences per hit scaffold produced 2,000 designs, from which Scaffold #1 emerged as the top candidate for its TCR-like centered docking and peptide-specific contact profile.
The top five designs were tested by yeast surface display against NY-ESO-1 and MART-1 HLA-A*02 tetramers, with two out of five specifically recognizing NY-ESO-1. The lead binder, designated mini-TCRm 1.1, was expressed recombinantly in E. coli and characterized by surface plasmon resonance, yielding a dissociation constant of 9.5 nM for NY-ESO-1 HLA-A*02 with no detectable binding to MART-1 HLA-A*02 — an exceptional selectivity for a molecule recognizing the same MHC allele presenting a different peptide.
X-ray crystallography of the mini-TCRm 1.1/pMHC complex, solved at 2.05 Å resolution, confirmed a TCR-like diagonal docking mode at 40 degrees relative to the peptide groove, burying 1,216 Ų of total surface area with 31% from peptide contacts. Structurally, the A2 and A3 helices of the mini-TCRm formed two distinct hydrophobic pockets that captured the Met4 and Trp5 residues of NY-ESO-1 independently — a sharp contrast to natural TCRs and antibody Fabs, which use a single large CDR loop-formed pocket to accommodate both residues together. The rigid helical scaffold also made five hydrogen bonds and one salt bridge to MHC, helping orient the binder precisely without relying on conformational flexibility.
To assess cross-reactivity risk, the team ran alanine scanning to confirm Met4 and Trp5 as the critical anchoring residues, then performed a Hamming distance search of 14,363 HLA-A*02-presented 9-mers from mass spectrometry data. Only five peptides had a Hamming distance of four from NY-ESO-1; two additional peptides matched the Met4-Trp5 motif exactly. A ProteinMPNN-based structural compatibility score correctly identified two of these seven candidates (off-targets 3 and 5) as binders in subsequent T2 cell staining — one from PIP5K1A (a ubiquitous kinase) and one from KIRREL2 (expressed mainly in pancreatic beta cells). Binding was confirmed but weaker than NY-ESO-1. In bispecific T cell engager format, the mini-TCRm drove selective cytotoxicity against NY-ESO-1-positive target cells, validating its therapeutic potential despite identifying these two manageable off-targets.
Key Findings
- Mini-TCRm 1.1 bound NY-ESO-1/HLA-A*02 with a Kd of 9.5 nM and showed no detectable affinity for MART-1/HLA-A*02, demonstrating extraordinary peptide selectivity on the same MHC molecule
- Crystal structure solved at 2.05 Šrevealed a TCR-like docking angle of 40 degrees, burying 1,216 Ų total surface area with 31% from peptide-specific contacts
- 2 of 5 initial yeast-displayed designs bound NY-ESO-1 tetramer specifically — a high hit rate for de novo protein design
- AlphaFold2 iPAE screening of 600 designs identified 4 hit scaffolds; expanding to 2,000 designs via ProteinMPNN yielded Scaffold #1 with 318/500 sequences passing the iPAE <10.0 threshold
- Alanine scanning confirmed Met4 and Trp5 as essential anchor residues; Leu4 and Phe5 substitutions retained binding, while Met4→Ala or Trp5→Ala completely abrogated it
- A ProteinMPNN-based in silico screen of 14,363 HLA-A*02 peptides correctly predicted the only 2 real off-target binders (from PIP5K1A and KIRREL2) out of 7 candidates tested
- In bispecific T cell engager format, the mini-TCRm demonstrated selective cytotoxicity against NY-ESO-1-positive cancer cells
Methodology
The study used RFdiffusion and ProteinMPNN to design 2,000 total candidate four-helix bundle binders targeting NY-ESO-1/HLA-A*02, filtered by AlphaFold2 iPAE scoring. Top candidates were validated by yeast surface display, recombinant protein expression, and SPR binding assays. Structural validation used X-ray crystallography at 2.05 Å resolution with an anti-β2M nanobody chaperone. Off-target specificity was assessed by alanine scanning, Hamming distance analysis of 14,363 mass spectrometry-detected HLA-A*02 peptides from MHC Motif Atlas, and ProteinMPNN structural compatibility scoring, all confirmed by T2 cell peptide-pulsing staining assays.
Study Limitations
The study was conducted entirely in vitro and in cell-based assays; no in vivo animal models or clinical data are reported, limiting conclusions about systemic safety and efficacy. The mini-TCRm was validated against a single tumor antigen (NY-ESO-1/HLA-A*02), and generalizability to other peptide-MHC targets or HLA alleles remains to be demonstrated. AlphaFold2 predictions showed notable discrepancies from the crystal structure at several hydrogen bond positions, underscoring that computational models alone cannot reliably predict fine binding details without experimental structural validation.
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