Linear response theory in dihedral angle space for protein structural change upon ligand binding

Omori Satoshi, Sotaro Fuchigami, Ikeguchi Mitsunori, Akinori Kidera*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)


Coupling between proteins motion and ligand binding can be well explained by the linear response theory (Ikeguchi, M.; Ueno, J.; Sato, M.; Kidera, A. Phys Rev Lett 2005, 94, 078102.), in which the structural change is treated as a response to ligand binding. The prediction accuracy of structural change upon ligand binding has been improved by replacing the variables in the linear response theory from Cartesian coordinates to dihedral angles. The dihedral angle theory can more accurately describe the rotational motions of protein domains compared with the Cartesian theory, which tends to shift the coordinate to the tangential direction of the domain rotation. In this study, the ligand-bound form of Ferric-binding protein was predicted from its ligand-free form using the dihe dral linear response theory. When the variance-covariance matrix, the key component in the linear response theory, was derived by linear conversion from Cartesian coordinates to dihedral angles, the dihedral linear response theory gave an improvement in the prediction. Therefore, the description of the rotational motion by dihedral angles is crucial for accurate prediction of protein structural change.

Original languageEnglish
Pages (from-to)2602-2608
Number of pages7
JournalJournal of Computational Chemistry
Issue number16
Publication statusPublished - 2009 Dec
Externally publishedYes


  • Dihedral angles
  • Ferric-binding protein
  • Ligand binding
  • Linear response theory
  • Molecular dynamics simulation
  • Protein structural change

ASJC Scopus subject areas

  • Chemistry(all)
  • Computational Mathematics


Dive into the research topics of 'Linear response theory in dihedral angle space for protein structural change upon ligand binding'. Together they form a unique fingerprint.

Cite this