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researcher

Ikki Yasuda

7 papers hereh-index 7102 citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft3
  • physics.chem-ph2
  • q-bio.BM2

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedLigand-induced protein dynamics differences correlate with protein-ligand binding affinities: An unsupervised deep learning approach

33 citations · 39 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

q-bio.BM2021★ 33 cited

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

Ikki Yasuda, Katsuhiro Endo, Eiji Yamamoto +2

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). T…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.