• Corpus ID: 237416528

Ligand-induced protein dynamics differences correlate with protein-ligand binding affinities: An unsupervised deep learning approach

@inproceedings{Yasuda2021LigandinducedPD,
  title={Ligand-induced protein dynamics differences correlate with protein-ligand binding affinities: An unsupervised deep learning approach},
  author={Ikki Yasuda and Katsuhiro Endo and Eiji Yamamoto and Yoshinori Hirano and Kenji Yasuoka},
  year={2021}
}
Prediction of protein–ligand binding affinity is a major goal in drug discovery. Generally, free energy gap is calculated between two states (e.g., ligand binding and unbinding). The energy gap implicitly includes the effects of changes in protein dynamics induced by the binding ligand. However, the relationship between protein dynamics and binding affinity remains unclear. Here, we propose a novel method that represents protein behavioral change upon ligand binding with a simple feature that… 

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