{ "cells": [ { "cell_type": "markdown", "id": "431d6cdd", "metadata": { "language": "markdown" }, "source": [ "# 2D complementarity maps\n", "\n", "Project the TCR-peptide-MHC interface (CDR1-3, peptide, MHC groove helices/floor) onto the\n", "canonical groove plane, build the two canonical polars tables (residue markup + contacts), and\n", "render a metadata-rich SVG complementarity map." ] }, { "cell_type": "code", "execution_count": 1, "id": "93963eb5", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:10.255643Z", "iopub.status.busy": "2026-06-16T12:50:10.255530Z", "iopub.status.idle": "2026-06-16T12:50:10.563769Z", "shell.execute_reply": "2026-06-16T12:50:10.563272Z" }, "language": "python" }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "python 3.11.15 | polars 1.41.2 | tcren 0.1.0\n" ] } ], "source": [ "# Environment versions (reproducibility)\n", "import sys, polars as pl, tcren\n", "print('python', sys.version.split()[0], '| polars', pl.__version__, '| tcren', tcren.__version__)" ] }, { "cell_type": "code", "execution_count": 2, "id": "c99f527f", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:10.565117Z", "iopub.status.busy": "2026-06-16T12:50:10.564988Z", "iopub.status.idle": "2026-06-16T12:50:15.632062Z", "shell.execute_reply": "2026-06-16T12:50:15.631564Z" }, "language": "python" }, "outputs": [ { "data": { "text/plain": [ "[('A', 'TRA'), ('B', 'TRB'), ('C', 'PEPTIDE'), ('D', 'MHCa'), ('E', 'B2M')]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Load a native complex, type chains (arda) and annotate the MHC groove\n", "from tcren.structure import parse_structure\n", "from tcren.annotation import classify_chains\n", "from tcren.mhc import annotate_mhc\n", "\n", "structure = parse_structure('data/Native2026/1ao7.pdb.gz', pdb_id='1ao7')\n", "classify_chains(structure, organism='human')\n", "annotate_mhc(structure)\n", "[(c.chain_id, c.chain_type) for c in structure.chains]" ] }, { "cell_type": "code", "execution_count": 3, "id": "8c56826b", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:15.633449Z", "iopub.status.busy": "2026-06-16T12:50:15.633327Z", "iopub.status.idle": "2026-06-16T12:50:20.667803Z", "shell.execute_reply": "2026-06-16T12:50:20.667248Z" }, "language": "python" }, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 14)
structure_idstructure_chaincomplex_chaincomplex_regionresidue_indexaa_indexaa_lenaaxyzuvheight
strstrstrstri64i64i64strf64f64f64f64f64f64
"1ao7""A""tra""fr1"10110"K"nullnullnullnullnullnull
"1ao7""A""tra""fr1"21110"E"nullnullnullnullnullnull
"1ao7""A""tra""fr1"32110"V"nullnullnullnullnullnull
"1ao7""A""tra""fr1"43110"E"nullnullnullnullnullnull
"1ao7""A""tra""fr1"54110"Q"nullnullnullnullnullnull
" ], "text/plain": [ "shape: (5, 14)\n", "┌──────────────┬────────────────┬───────────────┬────────────────┬───┬──────┬──────┬──────┬────────┐\n", "│ structure_id ┆ structure_chai ┆ complex_chain ┆ complex_region ┆ … ┆ z ┆ u ┆ v ┆ height │\n", "│ --- ┆ n ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ --- ┆ str ┆ str ┆ ┆ f64 ┆ f64 ┆ f64 ┆ f64 │\n", "│ ┆ str ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", "╞══════════════╪════════════════╪═══════════════╪════════════════╪═══╪══════╪══════╪══════╪════════╡\n", "│ 1ao7 ┆ A ┆ tra ┆ fr1 ┆ … ┆ null ┆ null ┆ null ┆ null │\n", "│ 1ao7 ┆ A ┆ tra ┆ fr1 ┆ … ┆ null ┆ null ┆ null ┆ null │\n", "│ 1ao7 ┆ A ┆ tra ┆ fr1 ┆ … ┆ null ┆ null ┆ null ┆ null │\n", "│ 1ao7 ┆ A ┆ tra ┆ fr1 ┆ … ┆ null ┆ null ┆ null ┆ null │\n", "│ 1ao7 ┆ A ┆ tra ┆ fr1 ┆ … ┆ null ┆ null ┆ null ┆ null │\n", "└──────────────┴────────────────┴───────────────┴────────────────┴───┴──────┴──────┴──────┴────────┘" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Project onto the canonical groove plane and build the canonical tables\n", "from tcren.project2d import (project_structure, residue_markup_table,\n", " contacts_table, ca_contacts_table, pocket_markers)\n", "\n", "projection = project_structure(structure)\n", "markup = residue_markup_table(structure, projection)\n", "contacts = contacts_table(structure, threshold=5.0)\n", "ca_contacts = ca_contacts_table(structure, threshold=8.0)\n", "pockets = pocket_markers(markup)\n", "markup.head()" ] }, { "cell_type": "code", "execution_count": 4, "id": "0e698dee", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:20.668919Z", "iopub.status.busy": "2026-06-16T12:50:20.668839Z", "iopub.status.idle": "2026-06-16T12:50:20.672118Z", "shell.execute_reply": "2026-06-16T12:50:20.671761Z" }, "language": "python" }, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (5, 11)
structure_idstructure_chain_1structure_chain_2residue_index_1residue_index_2aa_index_1aa_index_2min_distcontact_typebackbone_1backbone_2
strstrstri64i64i64i64f64strboolbool
"1ao7""D""E"2351023492.447153"hydrogen_bond"truefalse
"1ao7""A""C"3153042.54217"hydrogen_bond"falsefalse
"1ao7""C""D"117101702.631378"hydrogen_bond"truefalse
"1ao7""A""B"50105491002.63158"hydrogen_bond"falsefalse
"1ao7""A""B"35106341012.647912"hydrogen_bond"falsetrue
" ], "text/plain": [ "shape: (5, 11)\n", "┌───────────┬───────────┬───────────┬───────────┬───┬──────────┬───────────┬───────────┬───────────┐\n", "│ structure ┆ structure ┆ structure ┆ residue_i ┆ … ┆ min_dist ┆ contact_t ┆ backbone_ ┆ backbone_ │\n", "│ _id ┆ _chain_1 ┆ _chain_2 ┆ ndex_1 ┆ ┆ --- ┆ ype ┆ 1 ┆ 2 │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ ┆ f64 ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ str ┆ str ┆ i64 ┆ ┆ ┆ str ┆ bool ┆ bool │\n", "╞═══════════╪═══════════╪═══════════╪═══════════╪═══╪══════════╪═══════════╪═══════════╪═══════════╡\n", "│ 1ao7 ┆ D ┆ E ┆ 235 ┆ … ┆ 2.447153 ┆ hydrogen_ ┆ true ┆ false │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ bond ┆ ┆ │\n", "│ 1ao7 ┆ A ┆ C ┆ 31 ┆ … ┆ 2.54217 ┆ hydrogen_ ┆ false ┆ false │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ bond ┆ ┆ │\n", "│ 1ao7 ┆ C ┆ D ┆ 1 ┆ … ┆ 2.631378 ┆ hydrogen_ ┆ true ┆ false │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ bond ┆ ┆ │\n", "│ 1ao7 ┆ A ┆ B ┆ 50 ┆ … ┆ 2.63158 ┆ hydrogen_ ┆ false ┆ false │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ bond ┆ ┆ │\n", "│ 1ao7 ┆ A ┆ B ┆ 35 ┆ … ┆ 2.647912 ┆ hydrogen_ ┆ false ┆ true │\n", "│ ┆ ┆ ┆ ┆ ┆ ┆ bond ┆ ┆ │\n", "└───────────┴───────────┴───────────┴───────────┴───┴──────────┴───────────┴───────────┴───────────┘" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Contacts table is compatible with the original TCRen 5 A calculation\n", "contacts.head()" ] }, { "cell_type": "code", "execution_count": 5, "id": "57e6b8b4", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:20.673182Z", "iopub.status.busy": "2026-06-16T12:50:20.673111Z", "iopub.status.idle": "2026-06-16T12:50:20.698974Z", "shell.execute_reply": "2026-06-16T12:50:20.698407Z" }, "language": "python" }, "outputs": [ { "data": { "image/svg+xml": [ "hydrogen_bond 2.54 Å A:30–C:4hydrogen_bond 2.63 Å C:0–D:170hydrogen_bond 2.63 Å A:49–B:100hydrogen_bond 2.66 Å B:97–D:154hydrogen_bond 2.72 Å C:7–D:146hydrogen_bond 2.73 Å C:8–D:142salt_bridge 2.85 Å A:92–D:64hydrogen_bond 2.86 Å C:0–D:6hydrogen_bond 2.86 Å C:0–D:158hydrogen_bond 2.89 Å A:93–C:3polar 2.92 Å C:1–D:98hydrogen_bond 2.94 Å C:8–D:83hydrogen_bond 2.94 Å A:91–D:64hydrogen_bond 2.98 Å B:97–D:149hydrogen_bond 3.00 Å C:1–D:65hydrogen_bond 3.02 Å C:1–D:62hydrogen_bond 3.09 Å C:8–D:76hydrogen_bond 3.09 Å A:95–B:91polar 3.09 Å B:98–D:149hydrogen_bond 3.11 Å B:98–D:148hydrogen_bond 3.12 Å A:51–D:165hydrogen_bond 3.13 Å A:29–C:1polar 3.13 Å C:0–D:166hydrogen_bond 3.20 Å B:91–C:4hydrogen_bond 3.22 Å A:95–B:28polar 3.23 Å A:93–B:28polar 3.24 Å C:2–D:69polar 3.26 Å C:0–D:62hydrogen_bond 3.27 Å C:2–D:98hydrogen_bond 3.29 Å B:94–C:7polar 3.29 Å A:97–B:91hydrogen_bond 3.30 Å A:25–D:57polar 3.32 Å B:99–C:4hydrogen_bond 3.35 Å B:27–C:7hydrogen_bond 3.39 Å A:90–C:4hydrogen_bond 3.41 Å A:92–B:91hydrophobic 3.43 Å A:49–B:99polar 3.44 Å C:7–D:76hydrogen_bond 3.44 Å A:29–C:3polar 3.44 Å B:94–C:6polar 3.48 Å A:92–C:3hydrophobic 3.50 Å C:7–D:72polar 3.50 Å A:90–B:91hydrophobic 3.50 Å A:94–B:94hydrophobic 3.50 Å C:6–D:151hydrophobic 3.54 Å A:92–D:65polar 3.55 Å C:8–D:115hydrophobic 3.56 Å C:1–D:44hydrophobic 3.58 Å C:7–D:75polar 3.58 Å C:8–D:145hydrophobic 3.58 Å A:26–D:166polar 3.60 Å A:29–D:65hydrophobic 3.60 Å C:1–D:8polar 3.64 Å B:99–D:154polar 3.64 Å C:0–D:65polar 3.64 Å A:26–D:169polar 3.65 Å C:6–D:146polar 3.66 Å A:94–B:47hydrophobic 3.66 Å A:93–C:4polar 3.66 Å C:0–D:58polar 3.66 Å A:29–C:0hydrophobic 3.69 Å C:4–D:154hydrophobic 3.69 Å C:5–D:72aromatic 3.71 Å C:2–D:158polar 3.73 Å B:94–C:5hydrophobic 3.73 Å A:94–D:68polar 3.74 Å A:94–D:64polar 3.74 Å C:6–D:72polar 3.76 Å A:92–C:4polar 3.76 Å A:49–D:157aromatic 3.76 Å A:94–B:28hydrophobic 3.79 Å B:94–D:71polar 3.79 Å C:2–D:65hydrophobic 3.79 Å C:2–D:155polar 3.83 Å C:8–D:79hydrophobic 3.84 Å C:0–D:162polar 3.84 Å A:29–D:162hydrophobic 3.84 Å C:1–D:6polar 3.85 Å A:95–D:64polar 3.87 Å A:30–B:99hydrophobic 3.87 Å C:8–D:146polar 3.89 Å C:2–D:154polar 3.90 Å C:7–D:145polar 3.90 Å A:49–D:154polar 3.94 Å A:29–D:158hydrophobic 3.94 Å A:94–D:67hydrophobic 3.95 Å B:96–C:6polar 3.97 Å B:97–C:6hydrophobic 3.97 Å B:98–D:150hydrophobic 3.98 Å C:1–D:66polar 3.99 Å C:1–D:158polar 4.00 Å C:7–D:71polar 4.01 Å A:93–B:94polar 4.02 Å A:93–B:91hydrophobic 4.03 Å C:8–D:80polar 4.04 Å A:50–D:157hydrophobic 4.05 Å A:27–D:166hydrophobic 4.07 Å A:94–D:71polar 4.07 Å A:96–B:28hydrophobic 4.12 Å B:95–C:6polar 4.13 Å B:94–D:68polar 4.14 Å B:96–D:149polar 4.14 Å B:97–C:4polar 4.15 Å A:93–B:93polar 4.17 Å C:5–D:69hydrophobic 4.17 Å C:3–D:65hydrophobic 4.24 Å B:94–D:72polar 4.24 Å A:93–C:5polar 4.24 Å A:97–B:101polar 4.26 Å A:29–C:2hydrophobic 4.26 Å C:1–D:69polar 4.27 Å C:0–D:4polar 4.33 Å A:27–C:0polar 4.33 Å A:91–C:3hydrophobic 4.40 Å C:5–D:68polar 4.44 Å A:91–C:4polar 4.45 Å A:49–D:153polar 4.46 Å B:97–D:150polar 4.50 Å B:95–D:149hydrophobic 4.53 Å C:6–D:149hydrophobic 4.53 Å C:8–D:122polar 4.56 Å B:95–C:7polar 4.58 Å B:98–D:154polar 4.61 Å B:96–C:4polar 4.64 Å A:26–D:57polar 4.67 Å C:6–D:76polar 4.70 Å A:97–B:99polar 4.72 Å B:93–C:5polar 4.76 Å C:5–D:96hydrophobic 4.77 Å A:94–B:93polar 4.79 Å A:91–D:65polar 4.79 Å B:97–D:151polar 4.82 Å C:0–D:32polar 4.82 Å A:94–B:91polar 4.86 Å C:6–D:96polar 4.90 Å A:30–B:91polar 4.92 Å C:8–D:141polar 4.92 Å C:4–D:151hydrophobic 4.93 Å A:29–C:4hydrophobic 4.93 Å B:98–C:4polar 4.94 Å C:2–D:151polar 4.95 Å A:96–B:91polar 4.97 Å A:92–D:61Cα 7.19 Å A:25–D:57Cα 7.61 Å A:27–C:0Cα 7.40 Å A:27–D:58Cα 7.39 Å A:29–C:3Cα 7.64 Å A:29–D:162Cα 6.92 Å A:30–B:99Cα 7.89 Å A:49–D:154Cα 6.25 Å A:49–D:157Cα 5.75 Å A:50–D:157Cα 7.83 Å A:50–D:158Cα 6.65 Å A:50–D:161Cα 7.83 Å A:51–D:161Cα 6.60 Å A:91–C:3Cα 7.60 Å A:91–D:61Cα 7.68 Å A:92–C:2Cα 4.12 Å A:92–C:3Cα 6.15 Å A:92–C:4Cα 6.85 Å A:92–D:65Cα 7.81 Å A:93–B:91Cα 7.61 Å A:93–B:92Cα 5.27 Å A:93–B:93Cα 6.99 Å A:93–B:94Cα 6.47 Å A:93–B:99Cα 5.99 Å A:93–C:3Cα 5.54 Å A:93–C:4Cα 7.73 Å A:94–B:28Cα 6.82 Å A:94–B:47Cα 6.24 Å A:94–B:93Cα 7.58 Å A:94–D:64Cα 7.59 Å A:94–D:65Cα 7.29 Å A:94–D:68Cα 7.91 Å A:95–D:64Cα 7.27 Å B:94–C:4Cα 6.26 Å B:94–C:5Cα 4.95 Å B:94–C:6Cα 6.37 Å B:94–C:7Cα 7.56 Å B:94–D:68Cα 6.68 Å B:94–D:72Cα 5.64 Å B:95–C:6Cα 6.37 Å B:95–C:7Cα 7.65 Å B:95–D:149Cα 7.73 Å B:96–C:4Cα 5.89 Å B:96–C:6Cα 4.94 Å B:96–D:149Cα 7.20 Å B:96–D:150Cα 7.34 Å B:96–D:151Cα 5.73 Å B:97–C:4Cα 7.30 Å B:97–C:5Cα 6.75 Å B:97–C:6Cα 5.45 Å B:97–D:149Cα 5.38 Å B:97–D:150Cα 4.93 Å B:97–D:151Cα 6.36 Å B:97–D:154Cα 7.06 Å B:98–D:149Cα 6.56 Å B:98–D:150Cα 7.83 Å B:98–D:151Cα 7.77 Å B:98–D:154Cα 7.99 Å B:99–C:4Cα 7.06 Å C:0–D:62Cα 7.90 Å C:0–D:162Cα 7.05 Å C:0–D:163Cα 6.50 Å C:0–D:166Cα 7.92 Å C:1–D:6Cα 6.56 Å C:1–D:62Cα 6.81 Å C:1–D:65Cα 7.68 Å C:1–D:66Cα 7.62 Å C:2–D:65Cα 7.75 Å C:2–D:155Cα 6.80 Å C:2–D:158Cα 6.45 Å C:3–D:65Cα 7.74 Å C:4–D:151Cα 7.10 Å C:4–D:154Cα 7.41 Å C:5–D:68Cα 6.30 Å C:5–D:69Cα 6.98 Å C:5–D:72Cα 6.48 Å C:6–D:72Cα 7.70 Å C:6–D:146Cα 7.49 Å C:6–D:151Cα 5.32 Å C:7–D:72Cα 7.28 Å C:7–D:73Cα 7.11 Å C:7–D:75Cα 6.12 Å C:7–D:76Cα 5.95 Å C:8–D:76Cα 7.28 Å C:8–D:79Cα 7.85 Å C:8–D:80Cα 5.11 Å C:8–D:142Cα 7.49 Å C:8–D:145Cα 7.67 Å C:8–D:146D26 tra/cdr1D26R27 tra/cdr1R27G28 tra/cdr1G28S29 tra/cdr1S29Q30 tra/cdr1Q30S31 tra/cdr1S31I49 tra/cdr2I49Y50 tra/cdr2Y50S51 tra/cdr2S51N52 tra/cdr2N52G53 tra/cdr2G53D54 tra/cdr2D54A91 tra/cdr3A91V92 tra/cdr3V92T93 tra/cdr3T93T98 tra/cdr3T98D99 tra/cdr3D99S100 tra/cdr3S100W101 tra/cdr3W101G102 tra/cdr3G102K103 tra/cdr3K103L104 tra/cdr3L104Q105 tra/cdr3Q105M27 trb/cdr1M27N28 trb/cdr1N28H29 trb/cdr1H29E30 trb/cdr1E30Y31 trb/cdr1Y31S49 trb/cdr2S49V50 trb/cdr2V50G51 trb/cdr2G51A52 trb/cdr2A52G53 trb/cdr2G53I54 trb/cdr2I54A93 trb/cdr3A93S94 trb/cdr3S94R95 trb/cdr3R95P96 trb/cdr3P96G97 trb/cdr3G97L98 trb/cdr3L98A99 trb/cdr3A99G100 trb/cdr3G100G101 trb/cdr3G101R102 trb/cdr3R102P103 trb/cdr3P103E105 trb/cdr3E105Q106 trb/cdr3Q106Y107 trb/cdr3Y107L1 peptide/peptideL1L2 peptide/peptideL2F3 peptide/peptideF3G4 peptide/peptideG4Y5 peptide/peptideY5P6 peptide/peptideP6V7 peptide/peptideV7Y8 peptide/peptideY8V9 peptide/peptideV9G1 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 mhca/mhc_helix_a2A149A150 mhca/mhc_helix_a2A150H151 mhca/mhc_helix_a2H151V152 mhca/mhc_helix_a2V152A153 mhca/mhc_helix_a2A153E154 mhca/mhc_helix_a2E154Q155 mhca/mhc_helix_a2Q155L156 mhca/mhc_helix_a2L156R157 mhca/mhc_helix_a2R157A158 mhca/mhc_helix_a2A158Y159 mhca/mhc_helix_a2Y159L160 mhca/mhc_helix_a2L160E161 mhca/mhc_helix_a2E161G162 mhca/mhc_helix_a2G162T163 mhca/mhc_helix_a2T163C164 mhca/mhc_helix_a2C164V165 mhca/mhc_helix_a2V165E166 mhca/mhc_helix_a2E166W167 mhca/mhc_helix_a2W167L168 mhca/mhc_helix_a2L168R169 mhca/mhc_helix_a2R169R170 mhca/mhc_helix_a2R170Y171 mhca/mhc_helix_a2Y171L172 mhca/mhc_helix_a2L172E173 mhca/mhc_helix_a2E173N174 mhca/mhc_helix_a2N174G175 mhca/mhc_helix_a2G175K176 mhca/mhc_helix_a2K176E177 mhca/mhc_helix_a2E177T178 mhca/mhc_helix_a2T178L179 mhca/mhc_helix_a2L179Q180 mhca/mhc_helix_a2Q180ABCDEF" ], "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Render the SVG complementarity map (squares=residues, bold=Ca-Ca, dashed=inter-residue)\n", "from tcren.viz import render_complementarity_map\n", "from IPython.display import SVG\n", "\n", "svg = render_complementarity_map(markup, contacts=contacts, ca_contacts=ca_contacts, pockets=pockets)\n", "SVG(svg)" ] }, { "cell_type": "markdown", "id": "15281f2b", "metadata": {}, "source": [ "## Multiple views of the same complex\n", "\n", "The full map above shows the whole interface. Below are **focused complementarity-map views**\n", "(chain subsets — the TCR↔peptide footprint, and the peptide sitting in the MHC groove) followed\n", "by **three orthogonal structural views** of the oriented complex. Contacts in every view are the\n", "same closest-atom edges read off the contact table." ] }, { "cell_type": "code", "execution_count": 6, "id": "5005ee21", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:20.700400Z", "iopub.status.busy": "2026-06-16T12:50:20.700319Z", "iopub.status.idle": "2026-06-16T12:50:20.754555Z", "shell.execute_reply": "2026-06-16T12:50:20.754225Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "TCR (CDR1-3) ↔ peptide\n" ] }, { "data": { "image/svg+xml": [ "hydrogen_bond 2.54 Å A:30–C:4hydrogen_bond 2.63 Å A:49–B:100hydrogen_bond 2.89 Å A:93–C:3hydrogen_bond 3.09 Å A:95–B:91hydrogen_bond 3.13 Å A:29–C:1hydrogen_bond 3.20 Å B:91–C:4hydrogen_bond 3.22 Å A:95–B:28polar 3.23 Å A:93–B:28hydrogen_bond 3.29 Å B:94–C:7polar 3.29 Å A:97–B:91polar 3.32 Å B:99–C:4hydrogen_bond 3.35 Å B:27–C:7hydrogen_bond 3.39 Å A:90–C:4hydrogen_bond 3.41 Å A:92–B:91hydrophobic 3.43 Å A:49–B:99hydrogen_bond 3.44 Å A:29–C:3polar 3.44 Å B:94–C:6polar 3.48 Å A:92–C:3polar 3.50 Å A:90–B:91hydrophobic 3.50 Å A:94–B:94polar 3.66 Å A:94–B:47hydrophobic 3.66 Å A:93–C:4polar 3.66 Å A:29–C:0polar 3.73 Å B:94–C:5polar 3.76 Å A:92–C:4aromatic 3.76 Å A:94–B:28polar 3.87 Å A:30–B:99hydrophobic 3.95 Å B:96–C:6polar 3.97 Å B:97–C:6polar 4.01 Å A:93–B:94polar 4.02 Å A:93–B:91polar 4.07 Å A:96–B:28hydrophobic 4.12 Å B:95–C:6polar 4.14 Å B:97–C:4polar 4.15 Å A:93–B:93polar 4.24 Å A:93–C:5polar 4.24 Å A:97–B:101polar 4.26 Å A:29–C:2polar 4.33 Å A:27–C:0polar 4.33 Å A:91–C:3polar 4.44 Å A:91–C:4polar 4.56 Å B:95–C:7polar 4.61 Å B:96–C:4polar 4.70 Å A:97–B:99polar 4.72 Å B:93–C:5hydrophobic 4.77 Å A:94–B:93polar 4.82 Å A:94–B:91polar 4.90 Å A:30–B:91hydrophobic 4.93 Å A:29–C:4hydrophobic 4.93 Å B:98–C:4polar 4.95 Å A:96–B:91Cα 7.61 Å A:27–C:0Cα 7.39 Å A:29–C:3Cα 6.92 Å A:30–B:99Cα 6.60 Å A:91–C:3Cα 7.68 Å A:92–C:2Cα 4.12 Å A:92–C:3Cα 6.15 Å A:92–C:4Cα 7.81 Å A:93–B:91Cα 7.61 Å A:93–B:92Cα 5.27 Å A:93–B:93Cα 6.99 Å A:93–B:94Cα 6.47 Å A:93–B:99Cα 5.99 Å A:93–C:3Cα 5.54 Å A:93–C:4Cα 7.73 Å A:94–B:28Cα 6.82 Å A:94–B:47Cα 6.24 Å A:94–B:93Cα 7.27 Å B:94–C:4Cα 6.26 Å B:94–C:5Cα 4.95 Å B:94–C:6Cα 6.37 Å B:94–C:7Cα 5.64 Å B:95–C:6Cα 6.37 Å B:95–C:7Cα 7.73 Å B:96–C:4Cα 5.89 Å B:96–C:6Cα 5.73 Å B:97–C:4Cα 7.30 Å B:97–C:5Cα 6.75 Å B:97–C:6Cα 7.99 Å B:99–C:4D26 tra/cdr1D26R27 tra/cdr1R27G28 tra/cdr1G28S29 tra/cdr1S29Q30 tra/cdr1Q30S31 tra/cdr1S31I49 tra/cdr2I49Y50 tra/cdr2Y50S51 tra/cdr2S51N52 tra/cdr2N52G53 tra/cdr2G53D54 tra/cdr2D54A91 tra/cdr3A91V92 tra/cdr3V92T93 tra/cdr3T93T98 tra/cdr3T98D99 tra/cdr3D99S100 tra/cdr3S100W101 tra/cdr3W101G102 tra/cdr3G102K103 tra/cdr3K103L104 tra/cdr3L104Q105 tra/cdr3Q105M27 trb/cdr1M27N28 trb/cdr1N28H29 trb/cdr1H29E30 trb/cdr1E30Y31 trb/cdr1Y31S49 trb/cdr2S49V50 trb/cdr2V50G51 trb/cdr2G51A52 trb/cdr2A52G53 trb/cdr2G53I54 trb/cdr2I54A93 trb/cdr3A93S94 trb/cdr3S94R95 trb/cdr3R95P96 trb/cdr3P96G97 trb/cdr3G97L98 trb/cdr3L98A99 trb/cdr3A99G100 trb/cdr3G100G101 trb/cdr3G101R102 trb/cdr3R102P103 trb/cdr3P103E105 trb/cdr3E105Q106 trb/cdr3Q106Y107 trb/cdr3Y107L1 peptide/peptideL1L2 peptide/peptideL2F3 peptide/peptideF3G4 peptide/peptideG4Y5 peptide/peptideY5P6 peptide/peptideP6V7 peptide/peptideV7Y8 peptide/peptideY8V9 peptide/peptideV9ABCDEF" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "peptide in the MHC groove\n" ] }, { "data": { "image/svg+xml": [ "hydrogen_bond 2.63 Å C:0–D:170hydrogen_bond 2.72 Å C:7–D:146hydrogen_bond 2.73 Å C:8–D:142hydrogen_bond 2.86 Å C:0–D:6hydrogen_bond 2.86 Å C:0–D:158polar 2.92 Å C:1–D:98hydrogen_bond 2.94 Å C:8–D:83hydrogen_bond 3.00 Å C:1–D:65hydrogen_bond 3.02 Å C:1–D:62hydrogen_bond 3.09 Å C:8–D:76polar 3.13 Å C:0–D:166polar 3.24 Å C:2–D:69polar 3.26 Å C:0–D:62hydrogen_bond 3.27 Å C:2–D:98polar 3.44 Å C:7–D:76hydrophobic 3.50 Å C:7–D:72hydrophobic 3.50 Å C:6–D:151polar 3.55 Å C:8–D:115hydrophobic 3.56 Å C:1–D:44hydrophobic 3.58 Å C:7–D:75polar 3.58 Å C:8–D:145hydrophobic 3.60 Å C:1–D:8polar 3.64 Å C:0–D:65polar 3.65 Å C:6–D:146polar 3.66 Å C:0–D:58hydrophobic 3.69 Å C:4–D:154hydrophobic 3.69 Å C:5–D:72aromatic 3.71 Å C:2–D:158polar 3.74 Å C:6–D:72polar 3.79 Å C:2–D:65hydrophobic 3.79 Å C:2–D:155polar 3.83 Å C:8–D:79hydrophobic 3.84 Å C:0–D:162hydrophobic 3.84 Å C:1–D:6hydrophobic 3.87 Å C:8–D:146polar 3.89 Å C:2–D:154polar 3.90 Å C:7–D:145hydrophobic 3.98 Å C:1–D:66polar 3.99 Å C:1–D:158polar 4.00 Å C:7–D:71hydrophobic 4.03 Å C:8–D:80polar 4.17 Å C:5–D:69hydrophobic 4.17 Å C:3–D:65hydrophobic 4.26 Å C:1–D:69polar 4.27 Å C:0–D:4hydrophobic 4.40 Å C:5–D:68hydrophobic 4.53 Å C:6–D:149hydrophobic 4.53 Å C:8–D:122polar 4.67 Å C:6–D:76polar 4.76 Å C:5–D:96polar 4.82 Å C:0–D:32polar 4.86 Å C:6–D:96polar 4.92 Å C:8–D:141polar 4.92 Å C:4–D:151polar 4.94 Å C:2–D:151Cα 7.06 Å C:0–D:62Cα 7.90 Å C:0–D:162Cα 7.05 Å C:0–D:163Cα 6.50 Å C:0–D:166Cα 7.92 Å C:1–D:6Cα 6.56 Å C:1–D:62Cα 6.81 Å C:1–D:65Cα 7.68 Å C:1–D:66Cα 7.62 Å C:2–D:65Cα 7.75 Å C:2–D:155Cα 6.80 Å C:2–D:158Cα 6.45 Å C:3–D:65Cα 7.74 Å C:4–D:151Cα 7.10 Å C:4–D:154Cα 7.41 Å C:5–D:68Cα 6.30 Å C:5–D:69Cα 6.98 Å C:5–D:72Cα 6.48 Å C:6–D:72Cα 7.70 Å C:6–D:146Cα 7.49 Å C:6–D:151Cα 5.32 Å C:7–D:72Cα 7.28 Å C:7–D:73Cα 7.11 Å C:7–D:75Cα 6.12 Å C:7–D:76Cα 5.95 Å C:8–D:76Cα 7.28 Å C:8–D:79Cα 7.85 Å C:8–D:80Cα 5.11 Å C:8–D:142Cα 7.49 Å C:8–D:145Cα 7.67 Å C:8–D:146L1 peptide/peptideL1L2 peptide/peptideL2F3 peptide/peptideF3G4 peptide/peptideG4Y5 peptide/peptideY5P6 peptide/peptideP6V7 peptide/peptideV7Y8 peptide/peptideY8V9 peptide/peptideV9G1 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 mhca/mhc_helix_a2A149A150 mhca/mhc_helix_a2A150H151 mhca/mhc_helix_a2H151V152 mhca/mhc_helix_a2V152A153 mhca/mhc_helix_a2A153E154 mhca/mhc_helix_a2E154Q155 mhca/mhc_helix_a2Q155L156 mhca/mhc_helix_a2L156R157 mhca/mhc_helix_a2R157A158 mhca/mhc_helix_a2A158Y159 mhca/mhc_helix_a2Y159L160 mhca/mhc_helix_a2L160E161 mhca/mhc_helix_a2E161G162 mhca/mhc_helix_a2G162T163 mhca/mhc_helix_a2T163C164 mhca/mhc_helix_a2C164V165 mhca/mhc_helix_a2V165E166 mhca/mhc_helix_a2E166W167 mhca/mhc_helix_a2W167L168 mhca/mhc_helix_a2L168R169 mhca/mhc_helix_a2R169R170 mhca/mhc_helix_a2R170Y171 mhca/mhc_helix_a2Y171L172 mhca/mhc_helix_a2L172E173 mhca/mhc_helix_a2E173N174 mhca/mhc_helix_a2N174G175 mhca/mhc_helix_a2G175K176 mhca/mhc_helix_a2K176E177 mhca/mhc_helix_a2E177T178 mhca/mhc_helix_a2T178L179 mhca/mhc_helix_a2L179Q180 mhca/mhc_helix_a2Q180ABCDEF" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Different complementarity-map VIEWS via chain subsets (edges = contacts read off the map).\n", "from IPython.display import display\n", "map_views = {'TCR (CDR1-3) ↔ peptide': ['tra', 'trb', 'peptide'],\n", " 'peptide in the MHC groove': ['peptide', 'mhca', 'mhcb']}\n", "for title, chains in map_views.items():\n", " print(title)\n", " display(SVG(render_complementarity_map(\n", " markup, contacts=contacts, ca_contacts=ca_contacts, pockets=pockets, show_chains=chains)))" ] }, { "cell_type": "code", "execution_count": 7, "id": "ff05e988", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:20.755834Z", "iopub.status.busy": "2026-06-16T12:50:20.755746Z", "iopub.status.idle": "2026-06-16T12:50:21.152009Z", "shell.execute_reply": "2026-06-16T12:50:21.151576Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Different STRUCTURAL views: the oriented interface in 3 orthogonal planes.\n", "# u = along the groove (peptide N->C), v = across the groove, height = MHC->TCR normal.\n", "# The canonical frame puts the TCR on top (+height) of the peptide/MHC.\n", "import matplotlib.pyplot as plt\n", "m = markup.filter(pl.col('u').is_not_null())\n", "chain_col = {'mhca': '#999999', 'mhcb': '#777777', 'peptide': '#E69F00',\n", " 'tra': '#0072B2', 'trb': '#D55E00'}\n", "planes = [('u', 'v', 'top — groove plane'),\n", " ('u', 'height', 'side — along groove'),\n", " ('v', 'height', 'side — across groove')]\n", "fig, axes = plt.subplots(1, 3, figsize=(13, 3.8))\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)\n", " if sub.height:\n", " ax.scatter(sub[a1], sub[a2], s=16, c=col, label=ch, edgecolor='none')\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('1ao7 — oriented interface, three views'); plt.tight_layout(); plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "id": "36d576ec", "metadata": { "execution": { "iopub.execute_input": "2026-06-16T12:50:21.153228Z", "iopub.status.busy": "2026-06-16T12:50:21.153105Z", "iopub.status.idle": "2026-06-16T12:50:21.160403Z", "shell.execute_reply": "2026-06-16T12:50:21.159974Z" }, "language": "python" }, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (6, 4)
complex_regioncontact_typenclosest
strstru32f64
"cdr1""hydrogen_bond"42.54
"cdr1""polar"33.66
"cdr1""hydrophobic"14.93
"cdr3""polar"133.32
"cdr3""hydrophobic"43.66
"cdr3""hydrogen_bond"42.89
" ], "text/plain": [ "shape: (6, 4)\n", "┌────────────────┬───────────────┬─────┬─────────┐\n", "│ complex_region ┆ contact_type ┆ n ┆ closest │\n", "│ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ str ┆ u32 ┆ f64 │\n", "╞════════════════╪═══════════════╪═════╪═════════╡\n", "│ cdr1 ┆ hydrogen_bond ┆ 4 ┆ 2.54 │\n", "│ cdr1 ┆ polar ┆ 3 ┆ 3.66 │\n", "│ cdr1 ┆ hydrophobic ┆ 1 ┆ 4.93 │\n", "│ cdr3 ┆ polar ┆ 13 ┆ 3.32 │\n", "│ cdr3 ┆ hydrophobic ┆ 4 ┆ 3.66 │\n", "│ cdr3 ┆ hydrogen_bond ┆ 4 ┆ 2.89 │\n", "└────────────────┴───────────────┴─────┴─────────┘" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Polars summarize: contact-type breakdown of the TCR (CDR) -> peptide interface\n", "tcr_pep = (contacts\n", " .join(markup.select('structure_chain', 'aa_index', 'complex_chain', 'complex_region'),\n", " left_on=['structure_chain_1', 'aa_index_1'],\n", " right_on=['structure_chain', 'aa_index'])\n", " .filter(pl.col('complex_chain').is_in(['tra', 'trb'])\n", " & pl.col('structure_chain_2').is_in([c.chain_id for c in structure.chains if c.chain_type=='PEPTIDE'])))\n", "tcr_pep.group_by('complex_region', 'contact_type').agg(\n", " pl.len().alias('n'), pl.col('min_dist').min().round(2).alias('closest')\n", ").sort('complex_region', 'n', descending=[False, True])" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "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 }