Perfecting antigen prediction
Advances in genomics and precision measurement have continued to demonstrate the importance of the immune system across many disease types. At the heart of many emerging approaches to leverage these insights for precision immunotherapies is the computational antigen prediction problem. We propose a...
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| Published in: | The Journal of experimental medicine Vol. 219; no. 9 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
05.09.2022
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| Subjects: | |
| ISSN: | 1540-9538, 1540-9538 |
| Online Access: | Get more information |
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| Summary: | Advances in genomics and precision measurement have continued to demonstrate the importance of the immune system across many disease types. At the heart of many emerging approaches to leverage these insights for precision immunotherapies is the computational antigen prediction problem. We propose a threefold approach to improving antigen predictions: further defining the geometry of the antigen landscape, incorporating the coupling of antigen recognition to other cellular processes, and diversifying the training sets used for models that predict immunogenicity. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1540-9538 1540-9538 |
| DOI: | 10.1084/jem.20220846 |