VMD needs a large amount of memory for large (many frame) trajectory
display. 16 GB is far too little. Also, the Windows version is limited by
the fact VMD is a 32 bit application.
Try VMD on a Linux machine with more RAM.
Post your question here vmd-l.ks.uiuc.edu for more info.
Jim Kress
-----Original Message-----
From: Hai Nguyen <nhai.qn.gmail.com>
Sent: Friday, January 18, 2019 3:46 PM
To: AMBER Mailing List <amber.ambermd.org>
Subject: Re: [AMBER] How to load and visualize large trajectories?
On Wed, Jan 9, 2019 at 7:36 AM Chetna Tyagi <cheta231.gmail.com> wrote:
> Dear all,
>
> This is not specifically an AMBER question but I would like to ask how
> can we visualize large trajectories?
>
> I carried out three separate accelerated MD runs of 500 ns each. I
> want to see how my peptide eventually interacts with the lipid bilayer.
> When I load it in VMD for visualization, the program just stops with
> an error like "Can't load any more frames".
>
> Is it a problem with VMD or that my computer's memory (16 GB) is
> insufficient? I could not find similar errors on VMD help forums.
>
>
> What are some other software or tools to visualize this? How did you
> solve this problem?
>
You can check nglview (use pytraj (Python API of cpptraj)) to visualize very
very large (few hundreds GB or TB) trajectory)).
https://github.com/arose/nglview
For your example:
import pytraj as pt
import nglview as nv
traj = pt.iterload('your.nc', 'your.prmtop') # Must use iterload to create
on-disk trajectory view = nv.show_pytraj(traj) view #
Downside: nglview is not (yet) as powerful as VMD, and you need to use it in
Jupyter notebook.
Hai
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Received on Fri Jan 18 2019 - 14:00:04 PST
