{ "cells": [ { "cell_type": "markdown", "id": "08a1bdac", "metadata": { "language": "markdown" }, "source": [ "# Example — GILGFVFTL / HLA-A*02:01 and the CDR3β Arg–Ser motif\n", "\n", "The influenza M1₅₈₋₆₆ epitope **GILGFVFTL** presented by **HLA-A*02:01** is recognised by a\n", "strongly biased, public T-cell response built on TRBV19, whose hallmark is a conserved\n", "**Arg–Ser (RS) motif** in CDR3β. The canonical structure is the **JM22** TCR (PDB **1oga**),\n", "with CDR3β `ASSSRSSYEQY` — the Arg and the following Ser reach into the peptide.\n", "\n", "This public RS motif is documented in **VDJdb** (Shugay M, Bagaev DV, Zvyagin IV, *et al.*,\n", "*Nucleic Acids Research* 2018;46(D1):D419–D427, https://doi.org/10.1093/nar/gkx760; record\n", "retrieved from PubMed, PMID 28977646). Here we orient 1oga into the canonical frame and use the\n", "tcren complementarity maps to show *where* the Arg–Ser residues contact the peptide. The\n", "structure is read only from the bootstrapped HF `Native2026` set." ] }, { "cell_type": "code", "execution_count": 1, "id": "7aa2908d", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:54:12.372086Z", "iopub.status.busy": "2026-06-16T12:54:12.371923Z", "iopub.status.idle": "2026-06-16T12:54:17.958131Z", "shell.execute_reply": "2026-06-16T12:54:17.957664Z" }, "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "python 3.11.15 | tcren 0.1.0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "peptide=GILGFVFTL CDR3β=ASSSRSSYEQY crossing=83° incident=-14°\n" ] } ], "source": [ "# Load the JM22 complex (1oga) from the HF set, type chains (arda), annotate the MHC groove.\n", "import warnings; warnings.filterwarnings('ignore')\n", "import sys\n", "from pathlib import Path\n", "import numpy as np, polars as pl, matplotlib, matplotlib.pyplot as plt\n", "import tcren\n", "from tcren.structure.io import import_structure\n", "from tcren.annotation import classify_chains\n", "from tcren.mhc import annotate_mhc\n", "from tcren.orient import docking_angles\n", "from tcren.project2d import (project_structure, residue_markup_table, contacts_table,\n", " ca_contacts_table, pocket_markers, region_pair_contacts)\n", "from tcren.viz import render_complementarity_map\n", "from IPython.display import SVG, display\n", "print('python', sys.version.split()[0], '| tcren', tcren.__version__)\n", "\n", "s = import_structure(Path('data/Native2026/1oga.pdb.gz'), pdb_id='1oga')\n", "classify_chains(s, organism='human'); annotate_mhc(s)\n", "cdr3b = next(r.sequence for c in s.chains if c.chain_type == 'TRB'\n", " for r in c.regions if r.region_type == 'CDR3')\n", "pep = next(c.sequence() for c in s.chains if c.chain_type == 'PEPTIDE')\n", "ang = docking_angles(s)\n", "print(f'peptide={pep} CDR3β={cdr3b} crossing={ang.crossing_angle:.0f}° incident={ang.incident_angle:.0f}°')" ] }, { "cell_type": "markdown", "id": "6f4264e9", "metadata": { "language": "markdown" }, "source": [ "## Where does the Arg–Ser motif touch the peptide?" ] }, { "cell_type": "code", "execution_count": 2, "id": "93ea9562", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:54:17.959673Z", "iopub.status.busy": "2026-06-16T12:54:17.959559Z", "iopub.status.idle": "2026-06-16T12:54:17.976935Z", "shell.execute_reply": "2026-06-16T12:54:17.976557Z" }, "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "CDR3β residues contacting the peptide: ['R98', 'S100', 'S99']\n" ] }, { "data": { "text/html": [ "
\n", "shape: (6, 5)
cdr3b_respeptide_resmin_distcontact_typemotif
strstrf64strbool
"S99""V6"3.09"hydrogen_bond"true
"R98""F5"3.78"polar"true
"S100""F5"3.82"polar"true
"S99""F5"4.03"polar"true
"R98""F7"4.16"hydrophobic"true
"R98""V6"4.84"polar"true
" ], "text/plain": [ "shape: (6, 5)\n", "┌───────────┬─────────────┬──────────┬───────────────┬───────┐\n", "│ cdr3b_res ┆ peptide_res ┆ min_dist ┆ contact_type ┆ motif │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ str ┆ f64 ┆ str ┆ bool │\n", "╞═══════════╪═════════════╪══════════╪═══════════════╪═══════╡\n", "│ S99 ┆ V6 ┆ 3.09 ┆ hydrogen_bond ┆ true │\n", "│ R98 ┆ F5 ┆ 3.78 ┆ polar ┆ true │\n", "│ S100 ┆ F5 ┆ 3.82 ┆ polar ┆ true │\n", "│ S99 ┆ F5 ┆ 4.03 ┆ polar ┆ true │\n", "│ R98 ┆ F7 ┆ 4.16 ┆ hydrophobic ┆ true │\n", "│ R98 ┆ V6 ┆ 4.84 ┆ polar ┆ true │\n", "└───────────┴─────────────┴──────────┴───────────────┴───────┘" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# CDR3β → peptide contacts, annotated with the CDR3β residue identity; flag the Arg/Ser motif.\n", "markup = residue_markup_table(s)\n", "# aa per (complex_chain, region, aa_index) lookup for labelling contact ends.\n", "aa_at = {(r['complex_chain'], r['complex_region'], r['aa_index']): (r['aa'], r['residue_index'])\n", " for r in markup.iter_rows(named=True)}\n", "rp = region_pair_contacts(s, kind='closest')\n", "cdr3b_pep = rp.filter(\n", " (((pl.col('complex_chain_1') == 'trb') & (pl.col('region_1') == 'cdr3') & (pl.col('complex_chain_2') == 'peptide')) |\n", " ((pl.col('complex_chain_2') == 'trb') & (pl.col('region_2') == 'cdr3') & (pl.col('complex_chain_1') == 'peptide'))))\n", "rows = []\n", "for r in cdr3b_pep.iter_rows(named=True):\n", " # orient so end 1 = CDR3β, end 2 = peptide\n", " if r['complex_chain_1'] == 'trb':\n", " tcr_aa, tcr_resi = aa_at.get(('trb', 'cdr3', r['aa_index_1']), ('?', None))\n", " pep_aa, pep_resi = aa_at.get(('peptide', 'peptide', r['aa_index_2']), ('?', None))\n", " else:\n", " tcr_aa, tcr_resi = aa_at.get(('trb', 'cdr3', r['aa_index_2']), ('?', None))\n", " pep_aa, pep_resi = aa_at.get(('peptide', 'peptide', r['aa_index_1']), ('?', None))\n", " rows.append({'cdr3b_res': f'{tcr_aa}{tcr_resi}', 'peptide_res': f'{pep_aa}{pep_resi}',\n", " 'min_dist': round(r['min_dist'], 2), 'contact_type': r['contact_type'],\n", " 'motif': tcr_aa in ('R', 'S')})\n", "cdr3b_tbl = pl.DataFrame(rows).sort('min_dist')\n", "print('CDR3β residues contacting the peptide:',\n", " sorted({r['cdr3b_res'] for r in rows}))\n", "cdr3b_tbl" ] }, { "cell_type": "markdown", "id": "4c7cde6f", "metadata": { "language": "markdown" }, "source": [ "## Complementarity map and multiple structural views" ] }, { "cell_type": "code", "execution_count": 3, "id": "c7461197", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:54:17.978078Z", "iopub.status.busy": "2026-06-16T12:54:17.977999Z", "iopub.status.idle": "2026-06-16T12:54:23.018255Z", "shell.execute_reply": "2026-06-16T12:54:23.017784Z" }, "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "full interface\n" ] }, { "data": { "image/svg+xml": [ "hydrogen_bond 2.67 Å B:27–C:7hydrogen_bond 2.67 Å C:0–D:170hydrogen_bond 2.69 Å C:7–D:145hydrogen_bond 2.72 Å C:8–D:142hydrogen_bond 2.74 Å A:91–B:95hydrogen_bond 2.77 Å C:0–D:158hydrogen_bond 2.80 Å C:1–D:65hydrogen_bond 2.85 Å B:93–D:149hydrogen_bond 2.86 Å B:93–D:154hydrogen_bond 2.87 Å C:7–D:146hydrogen_bond 2.88 Å C:8–D:76hydrogen_bond 2.88 Å C:0–D:6hydrogen_bond 2.93 Å C:2–D:98hydrogen_bond 2.93 Å C:1–D:62hydrogen_bond 2.97 Å B:47–C:5hydrogen_bond 3.01 Å C:8–D:145hydrogen_bond 3.06 Å B:47–C:3hydrogen_bond 3.08 Å C:8–D:83hydrogen_bond 3.09 Å B:94–C:5polar 3.16 Å A:93–C:3polar 3.20 Å C:2–D:69polar 3.21 Å A:94–B:95polar 3.22 Å B:47–C:4hydrophobic 3.23 Å C:8–D:146hydrogen_bond 3.25 Å B:95–D:154polar 3.26 Å C:5–D:72polar 3.27 Å C:1–D:98polar 3.28 Å A:94–B:94polar 3.29 Å C:0–D:166polar 3.30 Å A:92–C:3polar 3.31 Å A:28–D:154hydrogen_bond 3.31 Å B:93–D:150polar 3.32 Å C:6–D:72hydrogen_bond 3.34 Å A:91–D:154polar 3.35 Å A:96–B:95hydrophobic 3.35 Å C:2–D:158hydrophobic 3.36 Å C:1–D:6polar 3.36 Å B:96–D:150polar 3.36 Å A:95–B:95hydrophobic 3.37 Å B:48–C:7hydrogen_bond 3.39 Å A:93–B:47polar 3.40 Å C:0–D:62polar 3.41 Å A:96–B:98polar 3.42 Å C:2–D:65polar 3.42 Å C:6–D:96hydrogen_bond 3.43 Å B:96–D:148polar 3.46 Å B:50–D:71polar 3.46 Å A:90–B:95polar 3.48 Å B:93–D:151polar 3.49 Å C:7–D:76polar 3.49 Å C:1–D:66polar 3.49 Å A:48–D:153hydrophobic 3.50 Å C:4–D:154polar 3.54 Å B:50–D:74polar 3.54 Å A:94–C:3polar 3.54 Å B:96–D:149hydrophobic 3.54 Å C:3–D:65polar 3.58 Å B:51–D:68polar 3.59 Å C:6–D:113polar 3.60 Å C:5–D:69hydrophobic 3.60 Å C:8–D:115polar 3.63 Å C:2–D:96polar 3.66 Å A:94–B:47aromatic 3.67 Å C:6–D:146polar 3.68 Å A:92–C:4polar 3.70 Å A:96–B:96hydrophobic 3.70 Å C:2–D:155polar 3.72 Å A:48–D:150hydrophobic 3.73 Å C:8–D:80hydrophobic 3.74 Å C:6–D:151polar 3.74 Å B:49–D:71hydrophobic 3.78 Å C:1–D:69polar 3.78 Å B:93–C:4polar 3.81 Å C:1–D:158polar 3.82 Å B:95–C:4hydrophobic 3.84 Å B:49–D:75polar 3.87 Å C:8–D:79hydrophobic 3.87 Å A:94–C:4hydrophobic 3.87 Å A:28–D:153hydrophobic 3.88 Å C:6–D:155hydrophobic 3.90 Å B:48–D:71polar 3.91 Å B:51–D:67hydrophobic 3.91 Å B:48–D:75polar 3.91 Å A:29–B:96hydrophobic 3.91 Å C:5–D:68hydrophobic 3.92 Å C:7–D:75polar 3.95 Å B:48–D:72polar 3.98 Å C:7–D:72polar 4.00 Å C:6–D:115hydrophobic 4.01 Å C:4–D:155polar 4.02 Å B:92–D:149hydrophobic 4.02 Å C:8–D:122polar 4.03 Å B:94–C:4polar 4.06 Å A:93–D:65polar 4.08 Å C:0–D:65hydrophobic 4.09 Å C:1–D:44polar 4.11 Å B:48–D:68polar 4.12 Å C:0–D:4hydrophobic 4.16 Å B:93–C:6polar 4.19 Å A:90–D:154hydrophobic 4.23 Å B:51–D:71hydrophobic 4.25 Å C:8–D:123polar 4.27 Å A:29–B:95hydrophobic 4.33 Å C:1–D:8polar 4.35 Å B:27–D:145polar 4.41 Å A:92–D:154polar 4.47 Å C:0–D:58polar 4.51 Å A:95–B:98hydrophobic 4.53 Å C:2–D:113polar 4.54 Å B:94–D:154polar 4.62 Å B:51–D:64hydrophobic 4.64 Å B:48–C:5polar 4.68 Å C:6–D:76polar 4.68 Å A:93–C:4polar 4.70 Å C:5–D:65hydrophobic 4.72 Å A:96–B:97polar 4.78 Å A:91–C:4polar 4.81 Å C:4–D:69polar 4.84 Å B:93–C:5aromatic 4.86 Å C:4–D:158polar 4.87 Å B:47–D:68polar 4.90 Å A:93–B:95polar 4.95 Å A:95–B:94hydrophobic 4.97 Å C:8–D:94polar 4.97 Å A:92–B:95Cα 5.61 Å A:28–D:153Cα 5.23 Å A:28–D:154Cα 7.38 Å A:28–D:157Cα 7.26 Å A:29–B:96Cα 7.78 Å A:29–D:150Cα 7.96 Å A:29–D:154Cα 7.94 Å A:48–D:150Cα 7.79 Å A:89–B:95Cα 4.74 Å A:90–B:95Cα 6.10 Å A:90–B:96Cα 5.48 Å A:91–B:95Cα 7.39 Å A:92–B:95Cα 7.86 Å A:92–C:2Cα 5.68 Å A:92–C:3Cα 6.32 Å A:92–C:4Cα 7.71 Å A:93–B:95Cα 7.82 Å A:93–C:2Cα 4.24 Å A:93–C:3Cα 5.31 Å A:93–C:4Cα 6.61 Å A:94–B:47Cα 4.86 Å A:94–B:94Cα 4.69 Å A:94–B:95Cα 6.04 Å A:94–C:3Cα 4.27 Å A:94–C:4Cα 7.05 Å A:94–C:5Cα 5.80 Å A:95–B:94Cα 4.40 Å A:95–B:95Cα 7.63 Å A:95–B:96Cα 7.99 Å A:95–C:4Cα 5.40 Å A:96–B:95Cα 7.31 Å A:96–B:96Cα 7.95 Å A:96–B:97Cα 7.94 Å B:27–C:7Cα 7.51 Å B:47–C:4Cα 6.75 Å B:47–C:5Cα 7.77 Å B:47–C:6Cα 7.27 Å B:47–D:68Cα 7.80 Å B:48–C:5Cα 7.83 Å B:48–C:6Cα 7.05 Å B:48–D:68Cα 6.92 Å B:48–D:71Cα 6.35 Å B:48–D:72Cα 7.21 Å B:49–D:71Cα 6.62 Å B:50–D:71Cα 7.35 Å B:51–D:67Cα 6.00 Å B:51–D:68Cα 6.93 Å B:51–D:71Cα 7.47 Å B:92–D:149Cα 7.64 Å B:93–C:5Cα 5.67 Å B:93–C:6Cα 7.51 Å B:93–C:7Cα 7.18 Å B:93–D:149Cα 6.51 Å B:94–C:4Cα 6.89 Å B:94–C:5Cα 6.95 Å B:94–C:6Cα 7.18 Å B:95–C:4Cα 6.56 Å B:96–D:149Cα 7.99 Å B:96–D:150Cα 6.66 Å C:0–D:62Cα 7.21 Å C:0–D:163Cα 6.20 Å C:0–D:166Cα 7.49 Å C:1–D:6Cα 6.74 Å C:1–D:62Cα 7.04 Å C:1–D:65Cα 7.55 Å C:1–D:66Cα 7.96 Å C:1–D:163Cα 7.04 Å C:2–D:65Cα 7.46 Å C:2–D:158Cα 5.75 Å C:3–D:65Cα 7.67 Å C:4–D:65Cα 6.78 Å C:5–D:68Cα 6.19 Å C:5–D:69Cα 6.80 Å C:5–D:72Cα 6.68 Å C:6–D:72Cα 5.83 Å C:7–D:72Cα 7.33 Å C:7–D:73Cα 7.19 Å C:7–D:75Cα 6.17 Å C:7–D:76Cα 5.93 Å C:8–D:76Cα 7.41 Å C:8–D:79Cα 5.25 Å C:8–D:142Cα 7.79 Å C:8–D:145Cα 7.88 Å C:8–D:146S28 tra/cdr1S28V29 tra/cdr1V29F30 tra/cdr1F30S31 tra/cdr1S31S32 tra/cdr1S32V50 tra/cdr2V50V51 tra/cdr2V51T52 tra/cdr2T52G53 tra/cdr2G53G54 tra/cdr2G54E55 tra/cdr2E55V56 tra/cdr2V56A91 tra/cdr3A91G92 tra/cdr3G92A93 tra/cdr3A93G94 tra/cdr3G94S95 tra/cdr3S95Q96 tra/cdr3Q96G97 tra/cdr3G97N98 tra/cdr3N98L99 tra/cdr3L99I100 tra/cdr3I100L29 trb/cdr1L29N30 trb/cdr1N30H31 trb/cdr1H31D32 trb/cdr1D32A33 trb/cdr1A33S51 trb/cdr2S51Q52 trb/cdr2Q52I53 trb/cdr2I53V54 trb/cdr2V54N55 trb/cdr2N55D56 trb/cdr2D56A94 trb/cdr3A94S95 trb/cdr3S95S96 trb/cdr3S96S97 trb/cdr3S97R98 trb/cdr3R98S99 trb/cdr3S99S100 trb/cdr3S100Y101 trb/cdr3Y101E102 trb/cdr3E102Q103 trb/cdr3Q103Y104 trb/cdr3Y104G1 peptide/peptideG1I2 peptide/peptideI2L3 peptide/peptideL3G4 peptide/peptideG4F5 peptide/peptideF5V6 peptide/peptideV6F7 peptide/peptideF7T8 peptide/peptideT8L9 peptide/peptideL9G1 mhca/groove_floorG1S2 mhca/groove_floorS2H3 mhca/groove_floorH3S4 mhca/groove_floorS4M5 mhca/groove_floorM5R6 mhca/groove_floorR6Y7 mhca/groove_floorY7F8 mhca/groove_floorF8F9 mhca/groove_floorF9T10 mhca/groove_floorT10S11 mhca/groove_floorS11V12 mhca/groove_floorV12S13 mhca/groove_floorS13R14 mhca/groove_floorR14P15 mhca/groove_floorP15G16 mhca/groove_floorG16R17 mhca/groove_floorR17G18 mhca/groove_floorG18E19 mhca/groove_floorE19P20 mhca/groove_floorP20R21 mhca/groove_floorR21F22 mhca/groove_floorF22I23 mhca/groove_floorI23A24 mhca/groove_floorA24V25 mhca/groove_floorV25G26 mhca/groove_floorG26Y27 mhca/groove_floorY27V28 mhca/groove_floorV28D29 mhca/groove_floorD29D30 mhca/groove_floorD30T31 mhca/groove_floorT31Q32 mhca/groove_floorQ32F33 mhca/groove_floorF33V34 mhca/groove_floorV34R35 mhca/groove_floorR35F36 mhca/groove_floorF36D37 mhca/groove_floorD37S38 mhca/groove_floorS38D39 mhca/groove_floorD39A40 mhca/groove_floorA40A41 mhca/groove_floorA41S42 mhca/groove_floorS42Q43 mhca/groove_floorQ43R44 mhca/groove_floorR44M45 mhca/groove_floorM45E46 mhca/groove_floorE46P47 mhca/groove_floorP47R48 mhca/groove_floorR48A49 mhca/groove_floorA49P50 mhca/groove_floorP50W51 mhca/groove_floorW51I52 mhca/groove_floorI52E53 mhca/groove_floorE53Q54 mhca/groove_floorQ54E55 mhca/groove_floorE55G56 mhca/groove_floorG56P57 mhca/mhc_helix_a1P57E58 mhca/mhc_helix_a1E58Y59 mhca/mhc_helix_a1Y59W60 mhca/mhc_helix_a1W60D61 mhca/mhc_helix_a1D61G62 mhca/mhc_helix_a1G62E63 mhca/mhc_helix_a1E63T64 mhca/mhc_helix_a1T64R65 mhca/mhc_helix_a1R65K66 mhca/mhc_helix_a1K66V67 mhca/mhc_helix_a1V67K68 mhca/mhc_helix_a1K68A69 mhca/mhc_helix_a1A69H70 mhca/mhc_helix_a1H70S71 mhca/mhc_helix_a1S71Q72 mhca/mhc_helix_a1Q72T73 mhca/mhc_helix_a1T73H74 mhca/mhc_helix_a1H74R75 mhca/mhc_helix_a1R75V76 mhca/mhc_helix_a1V76D77 mhca/mhc_helix_a1D77L78 mhca/mhc_helix_a1L78G79 mhca/mhc_helix_a1G79T80 mhca/mhc_helix_a1T80L81 mhca/mhc_helix_a1L81R82 mhca/mhc_helix_a1R82G83 mhca/mhc_helix_a1G83Y84 mhca/mhc_helix_a1Y84G91 mhca/groove_floorG91S92 mhca/groove_floorS92H93 mhca/groove_floorH93T94 mhca/groove_floorT94V95 mhca/groove_floorV95Q96 mhca/groove_floorQ96R97 mhca/groove_floorR97M98 mhca/groove_floorM98Y99 mhca/groove_floorY99G100 mhca/groove_floorG100C101 mhca/groove_floorC101D102 mhca/groove_floorD102V103 mhca/groove_floorV103G104 mhca/groove_floorG104S105 mhca/groove_floorS105D106 mhca/groove_floorD106W107 mhca/groove_floorW107R108 mhca/groove_floorR108F109 mhca/groove_floorF109L110 mhca/groove_floorL110R111 mhca/groove_floorR111G112 mhca/groove_floorG112Y113 mhca/groove_floorY113H114 mhca/groove_floorH114Q115 mhca/groove_floorQ115Y116 mhca/groove_floorY116A117 mhca/groove_floorA117Y118 mhca/groove_floorY118D119 mhca/groove_floorD119G120 mhca/groove_floorG120K121 mhca/groove_floorK121D122 mhca/groove_floorD122Y123 mhca/groove_floorY123I124 mhca/groove_floorI124A125 mhca/groove_floorA125L126 mhca/groove_floorL126K127 mhca/groove_floorK127E128 mhca/groove_floorE128D129 mhca/groove_floorD129L130 mhca/groove_floorL130R131 mhca/groove_floorR131S132 mhca/groove_floorS132W133 mhca/groove_floorW133T134 mhca/groove_floorT134A135 mhca/groove_floorA135A136 mhca/groove_floorA136D137 mhca/groove_floorD137M138 mhca/mhc_helix_a2M138A139 mhca/mhc_helix_a2A139A140 mhca/mhc_helix_a2A140Q141 mhca/mhc_helix_a2Q141T142 mhca/mhc_helix_a2T142T143 mhca/mhc_helix_a2T143K144 mhca/mhc_helix_a2K144H145 mhca/mhc_helix_a2H145K146 mhca/mhc_helix_a2K146W147 mhca/mhc_helix_a2W147E148 mhca/mhc_helix_a2E148A149 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"data": { "image/svg+xml": [ "hydrogen_bond 2.67 Å B:27–C:7hydrogen_bond 2.74 Å A:91–B:95hydrogen_bond 2.97 Å B:47–C:5hydrogen_bond 3.06 Å B:47–C:3hydrogen_bond 3.09 Å B:94–C:5polar 3.16 Å A:93–C:3polar 3.21 Å A:94–B:95polar 3.22 Å B:47–C:4polar 3.28 Å A:94–B:94polar 3.30 Å A:92–C:3polar 3.35 Å A:96–B:95polar 3.36 Å A:95–B:95hydrophobic 3.37 Å B:48–C:7hydrogen_bond 3.39 Å A:93–B:47polar 3.41 Å A:96–B:98polar 3.46 Å A:90–B:95polar 3.54 Å A:94–C:3polar 3.66 Å A:94–B:47polar 3.68 Å A:92–C:4polar 3.70 Å A:96–B:96polar 3.78 Å B:93–C:4polar 3.82 Å B:95–C:4hydrophobic 3.87 Å A:94–C:4polar 3.91 Å A:29–B:96polar 4.03 Å B:94–C:4hydrophobic 4.16 Å B:93–C:6polar 4.27 Å A:29–B:95polar 4.51 Å A:95–B:98hydrophobic 4.64 Å B:48–C:5polar 4.68 Å A:93–C:4hydrophobic 4.72 Å A:96–B:97polar 4.78 Å A:91–C:4polar 4.84 Å B:93–C:5polar 4.90 Å A:93–B:95polar 4.95 Å A:95–B:94polar 4.97 Å A:92–B:95Cα 7.26 Å A:29–B:96Cα 7.79 Å A:89–B:95Cα 4.74 Å A:90–B:95Cα 6.10 Å A:90–B:96Cα 5.48 Å A:91–B:95Cα 7.39 Å A:92–B:95Cα 7.86 Å A:92–C:2Cα 5.68 Å A:92–C:3Cα 6.32 Å A:92–C:4Cα 7.71 Å A:93–B:95Cα 7.82 Å A:93–C:2Cα 4.24 Å A:93–C:3Cα 5.31 Å A:93–C:4Cα 6.61 Å A:94–B:47Cα 4.86 Å A:94–B:94Cα 4.69 Å A:94–B:95Cα 6.04 Å A:94–C:3Cα 4.27 Å A:94–C:4Cα 7.05 Å A:94–C:5Cα 5.80 Å A:95–B:94Cα 4.40 Å A:95–B:95Cα 7.63 Å A:95–B:96Cα 7.99 Å A:95–C:4Cα 5.40 Å A:96–B:95Cα 7.31 Å A:96–B:96Cα 7.95 Å A:96–B:97Cα 7.94 Å B:27–C:7Cα 7.51 Å B:47–C:4Cα 6.75 Å B:47–C:5Cα 7.77 Å B:47–C:6Cα 7.80 Å B:48–C:5Cα 7.83 Å B:48–C:6Cα 7.64 Å B:93–C:5Cα 5.67 Å B:93–C:6Cα 7.51 Å B:93–C:7Cα 6.51 Å B:94–C:4Cα 6.89 Å B:94–C:5Cα 6.95 Å B:94–C:6Cα 7.18 Å B:95–C:4S28 tra/cdr1S28V29 tra/cdr1V29F30 tra/cdr1F30S31 tra/cdr1S31S32 tra/cdr1S32V50 tra/cdr2V50V51 tra/cdr2V51T52 tra/cdr2T52G53 tra/cdr2G53G54 tra/cdr2G54E55 tra/cdr2E55V56 tra/cdr2V56A91 tra/cdr3A91G92 tra/cdr3G92A93 tra/cdr3A93G94 tra/cdr3G94S95 tra/cdr3S95Q96 tra/cdr3Q96G97 tra/cdr3G97N98 tra/cdr3N98L99 tra/cdr3L99I100 tra/cdr3I100L29 trb/cdr1L29N30 trb/cdr1N30H31 trb/cdr1H31D32 trb/cdr1D32A33 trb/cdr1A33S51 trb/cdr2S51Q52 trb/cdr2Q52I53 trb/cdr2I53V54 trb/cdr2V54N55 trb/cdr2N55D56 trb/cdr2D56A94 trb/cdr3A94S95 trb/cdr3S95S96 trb/cdr3S96S97 trb/cdr3S97R98 trb/cdr3R98S99 trb/cdr3S99S100 trb/cdr3S100Y101 trb/cdr3Y101E102 trb/cdr3E102Q103 trb/cdr3Q103Y104 trb/cdr3Y104G1 peptide/peptideG1I2 peptide/peptideI2L3 peptide/peptideL3G4 peptide/peptideG4F5 peptide/peptideF5V6 peptide/peptideV6F7 peptide/peptideF7T8 peptide/peptideT8L9 peptide/peptideL9ABCDEF" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Project onto the canonical groove plane and build the canonical tables.\n", "proj = project_structure(s)\n", "markup = residue_markup_table(s, proj)\n", "contacts = contacts_table(s, threshold=5.0)\n", "ca_contacts = ca_contacts_table(s, threshold=8.0)\n", "pockets = pocket_markers(markup)\n", "# Full map, then the focused TCR(CDR1-3)↔peptide footprint.\n", "print('full interface'); display(SVG(render_complementarity_map(markup, contacts=contacts, ca_contacts=ca_contacts, pockets=pockets)))\n", "print('TCR (CDR1-3) ↔ peptide'); display(SVG(render_complementarity_map(\n", " markup, contacts=contacts, ca_contacts=ca_contacts, pockets=pockets, show_chains=['tra', 'trb', 'peptide'])))" ] }, { "cell_type": "code", "execution_count": 4, "id": "2063ceea", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:54:23.019600Z", "iopub.status.busy": "2026-06-16T12:54:23.019501Z", "iopub.status.idle": "2026-06-16T12:54:23.172725Z", "shell.execute_reply": "2026-06-16T12:54:23.172244Z" }, "language": "python" }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Three orthogonal structural views; the CDR3β Arg/Ser residues highlighted in red.\n", "m = markup.filter(pl.col('u').is_not_null())\n", "chain_col = {'mhca': '#999999', 'mhcb': '#777777', 'peptide': '#E69F00', 'tra': '#0072B2', 'trb': '#D55E00'}\n", "is_rs = (pl.col('complex_chain') == 'trb') & (pl.col('complex_region') == 'cdr3') & (pl.col('aa').is_in(['R', 'S']))\n", "planes = [('u', 'v', 'top — groove plane'), ('u', 'height', 'side — along groove'), ('v', 'height', 'side — across groove')]\n", "fig, axes = plt.subplots(1, 3, figsize=(13, 3.9))\n", "for ax, (a1, a2, ttl) in zip(axes, planes):\n", " for ch, col in chain_col.items():\n", " sub = m.filter((pl.col('complex_chain') == ch) & ~is_rs)\n", " if sub.height:\n", " ax.scatter(sub[a1], sub[a2], s=16, c=col, label=ch, edgecolor='none')\n", " rs = m.filter(is_rs)\n", " if rs.height:\n", " ax.scatter(rs[a1], rs[a2], s=70, marker='*', c='red', label='CDR3β Arg/Ser', edgecolor='k', linewidth=0.4, zorder=5)\n", " ax.set_xlabel(a1); ax.set_ylabel(a2); ax.set_title(ttl); ax.set_aspect('equal', 'datalim')\n", "axes[0].legend(fontsize=7, ncol=2, loc='best')\n", "fig.suptitle('1oga (JM22) — GILGFVFTL/HLA-A*02:01, CDR3β Arg–Ser motif highlighted'); plt.tight_layout(); plt.show()" ] }, { "cell_type": "markdown", "id": "d5670aa5", "metadata": { "language": "markdown" }, "source": [ "## Summary\n", "\n", "Oriented into the canonical frame, the JM22 TCR docks GILGFVFTL/HLA-A*02:01 at a crossing angle in\n", "the canonical αβ range. The complementarity map and the CDR3β→peptide contact table show the\n", "conserved **Arg–Ser motif** of CDR3β reaching across the peptide — the structural correlate of the\n", "public TRBV19 RS signature catalogued in VDJdb (Shugay *et al.*, *Nucleic Acids Research* 2018,\n", "https://doi.org/10.1093/nar/gkx760; via PubMed). The same recipe — `import_structure` →\n", "`classify_chains` → `annotate_mhc` → `project_structure` → `region_pair_contacts` /\n", "`render_complementarity_map` — works for any TCR-pMHC complex in the HF set." ] } ], "metadata": { "kernelspec": { "display_name": "tcren-nb", "language": "python", "name": "tcren-nb" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.15" } }, "nbformat": 4, "nbformat_minor": 5 }