• Medientyp: E-Artikel
  • Titel: Parallel Evolutionary Optimization Algorithms for Peptide-Protein Docking
  • Beteiligte: Poluyan, Sergey; Ershov, Nikolay
  • Erschienen: EDP Sciences, 2018
  • Erschienen in: EPJ Web of Conferences, 173 (2018), Seite 06010
  • Sprache: Nicht zu entscheiden
  • DOI: 10.1051/epjconf/201817306010
  • ISSN: 2100-014X
  • Schlagwörter: General Earth and Planetary Sciences ; General Engineering ; General Environmental Science
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  • Beschreibung: In this study we examine the possibility of using evolutionary optimization algorithms in protein-peptide docking. We present the main assumptions that reduce the docking problem to a continuous global optimization problem and provide a way of using evolutionary optimization algorithms. The Rosetta all-atom force field was used for structural representation and energy scoring. We describe the parallelization scheme and MPI/OpenMP realization of the considered algorithms. We demonstrate the efficiency and the performance for some algorithms which were applied to a set of benchmark tests.
  • Zugangsstatus: Freier Zugang