Applying computational protein design to therapeutic antibody discovery -- current state and perspectives
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arXiv
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866929738693476352 |
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| author | Bielska, Weronika Jaszczyszyn, Igor Dudzic, Pawel Janusz, Bartosz Chomicz, Dawid Wrobel, Sonia Greiff, Victor Feehan, Ryan Adolf-Bryfogle, Jared Krawczyk, Konrad |
| author_facet | Bielska, Weronika Jaszczyszyn, Igor Dudzic, Pawel Janusz, Bartosz Chomicz, Dawid Wrobel, Sonia Greiff, Victor Feehan, Ryan Adolf-Bryfogle, Jared Krawczyk, Konrad |
| contents | Machine learning applications in protein sciences have ushered in a new era for designing molecules in silico. Antibodies, which currently form the largest group of biologics in clinical use, stand to benefit greatly from this shift. Despite the proliferation of these protein design tools, their direct application to antibodies is often limited by the unique structural biology of these molecules. Here, we review the current computational methods for antibody design, highlighting their role in advancing computational drug discovery. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_00913 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Applying computational protein design to therapeutic antibody discovery -- current state and perspectives Bielska, Weronika Jaszczyszyn, Igor Dudzic, Pawel Janusz, Bartosz Chomicz, Dawid Wrobel, Sonia Greiff, Victor Feehan, Ryan Adolf-Bryfogle, Jared Krawczyk, Konrad Biomolecules Machine learning applications in protein sciences have ushered in a new era for designing molecules in silico. Antibodies, which currently form the largest group of biologics in clinical use, stand to benefit greatly from this shift. Despite the proliferation of these protein design tools, their direct application to antibodies is often limited by the unique structural biology of these molecules. Here, we review the current computational methods for antibody design, highlighting their role in advancing computational drug discovery. |
| title | Applying computational protein design to therapeutic antibody discovery -- current state and perspectives |
| topic | Biomolecules |
| url | https://arxiv.org/abs/2503.00913 |