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Genomics refined: AI-powered perspectives on structural analysis

Tipo de material: TextoTextoSeries Trends in Plant Science. 29(2), 123-125, 2024, DOI: 10.1016/j.tplants.2023.10.005Trabajos contenidos:
  • Lou Y
  • Deng Z
  • Gao J
Recursos en línea: Resumen: Understanding 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
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Understanding 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

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