TRain: T-cell receptor automated immunoinformatics.

ABSTRACT:

Background

The scarcity of available structural data makes characterizing the binding of T-cell receptors (TCRs) to peptide-Major Histocompatibility Complexes (pMHCs) very challenging. The recent surge in sequencing data makes TCRs an ideal target for protein structure modeling. Through these 3D models, researchers can potentially identify key motifs on the TCR's binding regions. Furthermore, computational methods can be employed to pair a TCR structure with a pMHC, leading to predictions of docked TCRpMHC structures. However, going from sequence to predicted 3D TCRpMHC complexes requires a non-trivial amount of steps and specialized immunoinformatics expertise.

Results

We developed a Python tool named TRain (T-cell Receptor Automated ImmunoiNformatics) to streamline this pr

SUBMITTER: Seamann A 

PROVIDER: S-EPMC11887255 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature