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Introducing VIKING: A Novel Online Platform for Multiscale Modeling

  • Vasili Korol
  • , Peter Husen
  • , Emil Sjulstok*
  • , Claus Nielsen
  • , Ida Friis
  • , Anders Frederiksen
  • , Adrian B. Salo
  • , Ilia A. Solov'Yov
  • *Kontaktforfatter
  • University of Texas at Dallas
  • University of Oldenburg

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Abstract

Various biochemical and biophysical processes, occurring on multiple time and length scales, can nowadays be studied using specialized software packages on supercomputer clusters. The complexity of such simulations often requires application of different methods in a single study and strong computational expertise. We have developed VIKING, a convenient web platform for carrying out multiscale computations on supercomputers. VIKING allows combining methods in standardized workflows, making complex simulations accessible to a broader biochemical and biophysical society.

OriginalsprogEngelsk
TidsskriftACS Omega
Vol/bind5
Udgave nummer2
Sider (fra-til)1254-1260
Antal sider7
ISSN2470-1343
DOI
StatusUdgivet - 2020

Finansiering

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.9b03802 . Descriptions of the individual tasks in the VIKING benchmarking experiment; participant expertise self-estimation and measured times; illustrations of the input structures for the tasks; and workflow diagrams of the different task types supported by VIKING ( PDF ) The authors declare no competing financial interest. Financial support by the Lundbeck Foundation, the Danish Councils for Independent Research, Volkswagen Stiftung (Lichtenberg professorship to IAS), and the DFG (GRK1885) is greatly acknowledged. Computational resources for the simulations were provided by the DeiC National HPC Center, University of Southern Denmark. This publication is based upon work from COST Action TUMIEE (CA17126), supported by COST (European Cooperation in Science and Technology).

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