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Updated: Jun 7, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Published on: July 25, 2013

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预测蛋白质中连接体结合位的多重构造表明AlphaFold2可能记得太多

Maria Lazou1, Omeir Khan2, Thu Nguyen3

  • 1Department of Biomedical Engineering, Boston University, Boston, MA 02215.

Proceedings of the National Academy of Sciences of the United States of America
|November 20, 2024
PubMed
概括

AlphaFold2 (AF2) 通过从蛋白质数据库 (PDB) 结构中学习来预测蛋白质结合部位的结构. 当PDB数据平衡时,AF2成功地模拟了多样化的形状,但在罕见或不平衡的形状状态下扎.

关键词:
具有约束力的热点形状的变化 形状的变化机器学习是机器学习.蛋白质映射绘制地图蛋白质结构预测 蛋白质结构预测

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