Exploring the potential of structure-based deep learning approaches for T cell receptor design.

ABSTRACT: Deep learning methods, trained on the increasing set of available protein 3D structures and sequences, have substantially impacted the protein modeling and design field. These advancements have facilitated the creation of novel proteins, or the optimization of existing ones designed for specific functions, such as binding a target protein. Despite the demonstrated potential of such approaches in designing general protein binders, their application in designing immunotherapeutics remains relatively underexplored. A relevant application is the design of T cell receptors (TCRs). Given the crucial role of T cells in mediating immune responses, redirecting these cells to tumor or infected target cells through the engineering of TCRs has shown promising results in treating diseases, especially c

SUBMITTER: Ribeiro-Filho HV 

PROVIDER: S-EPMC11466415 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature