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VIKING (Scandinavian Online Kit for Nanoscale Modeling), accessible at, is a comprehensive and intuitive online platform for running a variety of simulations, developed and maintained by QuantBioLab. VIKING's mission is to make sophisticated simulation techniques—ranging from microscale quantum mechanics and extensive molecular dynamics simulations to biomedical methodologies—accessible to everyone. Moreover, VIKING facilitates structured data management and direct result visualization, thereby bolstering the efficiency of scientific projects. Its user-friendly interface enables beginners to become proficient quickly. At the same time, experts can delve into specific theoretical frameworks using advanced options. As a conduit for stand-alone software packages, VIKING also boasts a suite of universal simulation techniques ideally suited for a multiscale approach.

Currently, VIKING supports an array of software, including:

  • Molecular Dynamics (NAMD)
  • Quantum Chemistry for atomic and molecular properties calculation (Gaussian16)
  • Quantum Chemistry for spectroscopy (Gaussian16)
  • Virtual Screening (utilizing AutoDock Vina)
  • CRISPR INDEL Profiling (with ProfileIt™, sponsored by COBO Technologies)
  • Spin Dynamics (MolSpin)
  • Protein Construction

Actively under development, VIKING constantly expands its features and versatility. The ultimate goal of VIKING is to offer a unified framework that integrates a multiscale approach with easy access to high-performance computing systems, creating a versatile simulation toolbox applicable across various scientific disciplines. For more information, please visit

Recent Publications

Navigation of migratory songbirds: a quantum magnetic compass sensor, Siu Ying Wong, Anders Frederiksen, Maja Hanić, Fabian Schuhmann, Gesa Grüning, P. J. Hore, Ilia A. Solov'yov, Neuroforum, 27, 141-150, (2021)
Magnetic sensitivity of cryptochrome 4 from a migratory songbird, Jingjing Xu, Lauren E. Jarocha, Tilo Zollitsch, Marcin Konowalczyk, Kevin B. Henbest,Sabine Richert, Matthew J. Golesworthy, Jessica Schmidt, Victoire Déjean, Daniel J. C. Sowood, Marco Bassetto, Jiate Luo, Jessica R. Walton, Jessica Fleming, Yujing Wei, Tommy L. Pitcher, Gabriel Moise, Maike Herrmann, Hang Yin, Haijia Wu, Rabea Bartölke, Stefanie J. Käsehagen, Simon Horst, Glen Dautaj, Patrick D. F. Murton, Angela S. Gehrckens, Yogarany Chelliah, Joseph S. Takahashi, Karl-Wilhelm Koch, Stefan Weber, Ilia A. Solov'yov, Can Xie, Stuart R. Mackenzie, Christiane R. Timmel, Henrik Mouritsen, P., Nature, 594, 535-540, (2021)
Frontiers in Multiscale Modeling of Photoreceptor Proteins, Maria-Andrea Mroginski, Suliman Adam, Gil S. Amoyal, Avishai Barnoy, Ana-Nicoleta Bondar, Veniamin A. Borin,Jonathan R. Church, Tatiana Domratcheva, Bernd Ensing, Francesca Fanelli, Nicolas Ferré, Ofer Filiba, Laura Pedraza-González, Ronald González, Cristina E. González-Espinoza, Rajiv K. Kar, Lukas Kemmler, Seung Soo Kim, Jacob Kongsted, Anna I. Krylov, Yigal Lahav, Michalis Lazaratos, Qays NasserEddin, Isabelle Navizet, Alexander Nemukhin, Massimo Olivucci, Jógvan Magnus Haugaard Olsen, Alberto Párez de Alba Ortíz, Elisa Pieri, Aditya G., Photochemistry and Photobiology, 97, 243-269, (2021)
Introducing Pep McConst — A user-friendly peptide modeler for biophysical applications, Fabian Schuhmann, Vasili Korol, Ilia A. Solov'yov, Journal of Computational Chemistry, 42, 572-580, (2021)
Introducing VIKING: A Novel Online Platform for Multiscale Modeling, Vasili Korol, Peter Husen, Emil Sjulstok, Claus Nielsen, Ida Friis, Anders Frederiksen, Adrian Bøgh Salo, Ilia A. Solov'yov, ACS Omega, 5, 1254-1260, (2020)