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Open Access
Peer-reviewed
Research Article
Exploring the potential of structure-based deep learning approaches for T cell receptor design
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Helder V. Ribeiro-Filho ,
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: helder.ribeiro@lnbio.cnpem.br (HVRF); pierce@umd.edu (BGP); paulo.oliveira@lnbio.cnpem.br (PSLO)
¶‡ These authors joint first authorship on this work.
Affiliation Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, Brazil
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Gabriel E. Jara ,
Roles Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
¶‡ These authors joint first authorship on this work.
Affiliation Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, Brazil
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João V. S. Guerra,
Roles Formal analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing
Affiliations Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, Brazil, Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, Brazil
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Melyssa Cheung,
Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing
Affiliations Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, United States of America, Department of Chemistry and Biochemistry, University of Maryland, College Park, Maryland, United States of America
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Nathaniel R. Felbinger,
Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing
Affiliations Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, United States of America, Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, United States of America
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José G. C. Pereira,
Roles Formal analysis, Investigation, Methodology, Writing – original draft, Writing – review & editing
Affiliation Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, Brazil
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Brian G. Pierce ,
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Validation, Writing – original draft, Writing – review & editing
* E-mail: helder.ribeiro@lnbio.cnpem.br (HVRF); pierce@umd.edu (BGP); paulo.oliveira@lnbio.cnpem.br (PSLO)
Affiliations Institute for Bioscience and Biotechnology Research, University of Maryland, Rockville, Maryland, United States of America, Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, United States of America
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Paulo S. Lopes-de-Oliveira
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
* E-mail: helder.ribeiro@lnbio.cnpem.br (HVRF); pierce@umd.edu (BGP); paulo.oliveira@lnbio.cnpem.br (PSLO)
Affiliations Brazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials, Campinas, São Paulo, Brazil, Graduate Program in Pharmaceutical Sciences, Faculty of Pharmaceutical Sciences, University of Campinas, Campinas, São Paulo, Brazil
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Exploring the potential of structure-based deep learning approaches for T cell receptor design
- Helder V. Ribeiro-Filho,
- Gabriel E. Jara,
- João V. S. Guerra,
- Melyssa Cheung,
- Nathaniel R. Felbinger,
- José G. C. Pereira,
- Brian G. Pierce,
- Paulo S. Lopes-de-Oliveira
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- Published: September 30, 2024
- https://doi.org/10.1371/journal.pcbi.1012489
- See the preprint