MDsrv: visual sharing and analysis of molecular dynamics simulations

被引:6
|
作者
Kampfrath, Michelle [1 ]
Staritzbichler, Rene [2 ]
Hernandez, Guillermo Perez [3 ,4 ,5 ]
Rose, Alexander S.
Tiemann, Johanna K. S. [6 ]
Scheuermann, Gerik [1 ]
Wiegreffe, Daniel [1 ]
Hildebrand, Peter W. [2 ,3 ,4 ,5 ,7 ]
机构
[1] Univ Leipzig, Dept Comp Sci, Image & Signal Proc Grp, Augustuspl 10, D-04109 Leipzig, Germany
[2] Univ Leipzig, Inst Med Phys & Biophys, Med Fac, Hartelstr 16-18, D-04107 Leipzig, Germany
[3] Charite Univ Med Berlin, Berlin, Germany
[4] Free Univ Berlin, Berlin, Germany
[5] Humboldt Univ, Inst Med Phys & Biophys, Berlin, Germany
[6] Univ Copenhagen, Dept Biol, Linderstrom Lang Ctr Prot Sci, Ole Maaloes Vej 5, DK-2200 Copenhagen N, Denmark
[7] Berlin Inst Hlth, D-10178 Berlin, Germany
关键词
VISUALIZATION; VIEWER;
D O I
10.1093/nar/gkac398
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:W483 / W489
页数:7
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