Exploring the Potential of Structure-Based Deep Learning Approaches for T cell Receptor Design.

Autor: Ribeiro-Filho HV; Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil., Jara GE; Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil., Guerra JVS; Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil.; Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, 13083-871, Brazil., Cheung M; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA.; Department of Chemistry and Biochemistry, University of Maryland, College Park, Maryland 20742, USA., Felbinger NR; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA.; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA., Pereira JGC; Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil., Pierce BG; Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland 20850, USA.; Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland 20742, USA., Lopes-de-Oliveira PS; Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas 13083-100, Brazil.; Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, 13083-871, Brazil.

Publikováno v: BioRxiv : the preprint server for biology [bioRxiv] 2024 Apr 24. Date of Electronic Publication: 2024 Apr 24.