Dear Charles,

Thanks for your suggestion.  I tried to understand this order.py script from
gb3_ensemble, but there are still some parts that still confused me.

The biggest difference I can tell between the script I posted in previous
e-mail and order.py is that  there is a Powell minimization following the
dynamics at each temperature during the cooling steps.  Is this the feature
that you suggested "can't mix EnsembleSimulaition with XPLOR minimization"?
I don't understand this.  Could you explain more?  Or some reference
suggested to read?

You also mentioned "the scaling of energy results in a time scaling, such
that larger ensembles should use longer times for dynamics".  Does it mean
that if larger ensemble size is used, the dynamics time should set longer
manually (for example, set finalTime 1 ps to 10 ps )?  Or does it mean the
"delta_t" between dynamic steps become shorter when the size of ensemble is
larger, and it takes longer (more computer time, more steps) to reach
finalTime?

In addition, any difference between potList.add, and potList.append, since
both are used in order.py?  Thanks a lot!!

Best wishes,

Jie-rong

2008/11/6 <Charles at schwieters.org>

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>
> Hello Jie-rong--
>
> > I am trying to use ensemble calculation for unstructured proteins.
>  However,
> > the output structures are too compact than expected, so I did the
> following
> > test:
>
> You can't mix EnsembleSimulations with the XPLOR minimization
> routines. This is one problem. You should work from a more modern
> starting script, such as eginput/dna_refi/ensemble.py or
> eginput/gb3_ensemble/order.py.
>
> For evaluation of the output, you can directly compare energies- are the
> Ne=7 energies lower than those for Ne=1?
>
> Finally, the scaling of energy results in a time scaling, such that
> larger ensembles should use longer times for dynamics.
>
> best regards--
> Charles
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