isalgo/tcren_structures
isalgo/tcren_structures TCR:peptide:MHC structure sets and benchmarks for TCRen2 (structure-based prediction of TCR recognition). Fetch with tcren / the manuscript scripts/bootstrap_data.py. Contents rule: structures as .gz/.tar.gz (LFS) and .txt/.md descriptions only — no notebooks, figures, or analysis tables. Layout folder task contents Native2026/, Canonical2026/ derivation / ergodicity non-redundant TCR:pMHC structures (.gz) Native2022/… See the full description on the dataset page: https://huggingface.co/datasets/isalgo/tcren_structures.
isalgo/tcren_structures
TCR:peptide:MHC structure sets and benchmarks for TCRen2 (structure-based prediction of TCR recognition). Fetch with tcren / the manuscript scripts/bootstrap_data.py.
Contents rule: structures as .gz/.tar.gz (LFS) and .txt/.md descriptions only — no notebooks, figures, or analysis tables.
Layout
The three tasks
TCRen2 scores one interface-decomposed recognition energy Φ (TCRen for TCR:peptide, Miyazawa–Jernigan for the presentation interfaces) and reads it three ways: rank peptides for a TCR:MHC (epitope / neoantigen), rank TCRs for a pMHC (specificity), rank MHC alleles for a TCR:peptide (allele restriction, e.g. ankylosing spondylitis B\*27:05 vs :02).
