• Medientyp: E-Book; Hochschulschrift
  • Titel: Probabilistic models for protein conformational changes
  • Beteiligte: Nguyen, Chuong Thach [VerfasserIn]; Habeck, Michael [AkademischeR BetreuerIn]; Waack, Stephan [AkademischeR BetreuerIn]
  • Erschienen: Göttingen, 2020
  • Umfang: 1 Online-Ressource; Illustrationen, Diagramme
  • Sprache: Englisch
  • Identifikator:
  • Schlagwörter: Hochschulschrift
  • Entstehung:
  • Hochschulschrift: Dissertation, Georg-August-Universität Göttingen, 2020
  • Anmerkungen:
  • Beschreibung: Proteins are macromolecules that perform multiple functions. They are not rigid molecules, but instead proteins can change their conformation to perform critical tasks driven by binding small ligands, by assembling into large macromolecular complexes or by physiological factors. Characterization of protein conformational change and analyzing transitional pathways along protein conformational states are essentially tasks for computational biology. Here we propose probabilistic models to characterize protein conformational change. The first model disentangles protein structure into rigid bodi...
  • Zugangsstatus: Freier Zugang