Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect splicing remains a major challenge. Although recent artificial intelligence (AI) models have improved splice-site prediction, many struggle to capture regulatory signals located thousands of DNA bases away from the sites they influence.
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| # | Наименование новости | Тональность | Информативность | Дата публикации |
|---|---|---|---|---|
| 1 | Computer scientists develop a new AI tool that rivals AlphaFold 3 in mapping RNA | 5 | 7 | 30-06-2026 |
| 2 | Optimizing RNA design with AI and an Ising machine: Encoding matters | 5 | 7 | 08-07-2026 |
| 3 | AI finds tiny gene editor changes that reduce unintended DNA edits | 0 | 7.25 | 27-07-2026 |
| 4 | Генеративный ИИ научили определять расстояния между генами в нитях ДНК | 0 | 0 | 04-06-2025 |
| 5 | AI system translates protein sequences into text, helping reveal functions of unknown proteins | 5 | 8 | 07-07-2026 |
| 6 | Ai and all it brings | 0 | 5 | 07-07-2026 |
| 7 | Toward experiment-guided AlphaFold: Researchers overcome AI tool's single-conformation limitation | 5 | 7 | 29-06-2026 |
| 8 | Trained AI outperforms biologists at spotting salmon lice | 6 | 8 | 04-07-2026 |
| 9 | ИИ определит нарушение пигментации кожи на раннем этапе | 5 | 7 | 03-07-2026 |
| 10 | AI may predict spread of lung cancer to brain | 2 | 7 | 11-03-2024 |