MDsrv: visual sharing and analysis of molecular dynamics simulations

Author:

Kampfrath Michelle1ORCID,Staritzbichler René2ORCID,Hernández Guillermo Pérez3ORCID,Rose Alexander S4ORCID,Tiemann Johanna K S5ORCID,Scheuermann Gerik1,Wiegreffe Daniel1ORCID,Hildebrand Peter W236ORCID

Affiliation:

1. Image and Signal Processing Group, Department of Computer Science, Leipzig University , Augustusplatz 10, 04109 Leipzig, Germany

2. Institute for Medical Physics and Biophysics, Medical Faculty, Leipzig University , Härtelstraße 16-18, 04107 Leipzig, Germany

3. Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Medical Physics and Biophysics , Berlin, Germany

4. Mol* Consortium

5. Linderstrøm-Lang Centre for Protein Science, Department of Biology, University of Copenhagen , Ole Maaløes Vej 5, DK-2200 Copenhagen N., Denmark

6. Berlin Institute of Health , 10178 Berlin, Germany

Abstract

Abstract Molecular dynamics simulation is a proven technique for computing and visualizing the time-resolved motion of macromolecules at atomic resolution. The MDsrv is a tool that streams MD trajectories and displays them interactively in web browsers without requiring advanced skills, facilitating interactive exploration and collaborative visual analysis. We have now enhanced the MDsrv to further simplify the upload and sharing of MD trajectories and improve their online viewing and analysis. With the new instance, the MDsrv simplifies the creation of sessions, which allows the exchange of MD trajectories with preset representations and perspectives. An important innovation is that the MDsrv can now access and visualize trajectories from remote datasets, which greatly expands its applicability and use, as the data no longer needs to be accessible on a local server. In addition, initial analyses such as sequence or structure alignments, distance measurements, or RMSD calculations have been implemented, which optionally support visual analysis. Finally, based on Mol*, MDsrv now provides faster and more efficient visualization of even large trajectories compared to its predecessor tool NGL.

Funder

Development Bank of Saxony

Deutsche Forschungsgemeinschaft

Novo Nordisk Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics

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