Modern resources for intrinsic disorder predictions: protein language models, deep learning, meta-servers, and databases
Abstract Computational prediction of intrinsic disorder in protein sequences is an impactful and growing research area, recently infused with deep learning and protein language models, prompting the need to assess the impact of these advancements. We systematically surveyed 128 disorder predictors,...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2026-02-01
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| Edice: | Cellular and Molecular Life Sciences |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s00018-026-06087-3 |
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