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| 003 | MX-MdCICY | ||
| 005 | 20250625164351.0 | ||
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| 090 | _aB-21249 | ||
| 245 | 1 | 0 | _aGenomics refined: AI-powered perspectives on structural analysis |
| 490 | 0 | _aTrends in Plant Science. 29(2), 123-125, 2024, DOI: 10.1016/j.tplants.2023.10.005 | |
| 520 | 3 | _aUnderstanding protein function by deciphering 3D structure has distinct limitations. A recent study by Huang et al. used AlphaFold2, an artificial intelligence (AI) protein-folding prediction model, to predict and classify deaminase proteins based on structural similarities, highlighting the untapped potential of AI in functional genomics and protein engineering. © 2023 Elsevier Ltd | |
| 700 | 1 | 2 | _aLou Y. |
| 700 | 1 | 2 | _aDeng Z. |
| 700 | 1 | 2 | _aGao J. |
| 856 | 4 | 0 |
_uhttps://drive.google.com/file/d/1wCbBGw80AFcSU6x2TD8iTd6E97ugg_3X/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta @cicy.edu.mx |
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