从深度学习中吸取的教训 多态多域蛋白质的结构预测 - - 卷曲-卷曲NOD类受体的案例研究

Teodor Asvadur Șulea1, Eliza Cristina Martin1, Cosmin Alexandru Bugeac1

  • 1Department of Bioinformatics and Structural Biochemistry, Institute of Biochemistry of the Romanian Academy, Splaiul Independentei 296, 060031 Bucharest, Romania.

概括

新的人工智能深度学习模型在预测多域蛋白质3D蛋白质结构方面表现出了非凡的能力. 然而,在模拟灵活区域和实现稀疏配置方面仍然存在挑战,需要仔细考虑准确的蛋白质结构预测.

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