机器学习/分子力学最终状态校正与机械嵌入的评估,以计算相对蛋白质-质结合的自由能量

Johannes Karwounopoulos1, Mateusz Bieniek1, Zhiyi Wu1

  • 1Exscientia, Schrödinger Building, Oxford Science Park, Oxford OX4 4GE, U.K.

概括

机器学习 (ML) 潜能提高了准确性,但速度很慢. 混合ML / MM方法提供了一个妥协,但重新调整分子力学 (MM) 力场更有效,并为药物发现提供类似的结合能量结果.

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