Thanks I'll give PCA a try! 

Natalie


________________________________________
From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] on behalf 
of Mark Abraham [mark.abra...@anu.edu.au]
Sent: 21 November 2011 12:04
To: Discussion list for GROMACS users
Subject: Re: [gmx-users] Potential Energy Landscape

On 21/11/2011 10:36 PM, Natalie Stephenson wrote:
> I have performed force pulling experiments on a protein with both Gromacs MD 
> simulations and experimentally with AFM.  The problem I'm facing with the 
> data is the difference between the loading rates of the two approaches.  For 
> the MDS the loading rate is around 10 N/s, whereas the AFM experiments have a 
> much lower loading rate of 1 x 10^-8 N/s.
>
> I was told at a conference I attended that there was a way of constructing a 
> 'potential energy landscape' which would be able to use this to remove the 
> loading rate differences. However, I did not get a chance to find out how 
> this was possible.  I understand how g_sham works, however, I'm not sure what 
> - in this case - the input would be in order to construct such a 'potential 
> energy landscape'. Any insight into how I would be able to create this ... or 
> any other ideas on how I would be able to somehow relate the simulation 
> output to experimental data dispite the loading rate differences would be 
> GREATLY appreciated!!

Forget the misleading term "potential energy landscape". It seems nobody
here knows how your contact thinks constructing a plot of free energy as
a function of two observables will address the loading rate difference.
Justin described how g_sham works. Your analysis may suggest the right
observables for use with g_sham, or you may wish to use essential
dynamics (aka principal component analysis) to determine these
algorithmically. Check out manual 8.10 if so.

Mark

>
> Thanks once again!!
> Natalie
>
> ------------------------------------------------
> Natalie Stephenson, B.Sc
> PhD Research Associate
>
> Manchester Interdisciplinary Biocentre
> 131 Princess Street
> Manchester
> M1 7DN
> x65816
> ------------------------------------------------
>
> ________________________________________
> From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] on behalf 
> of Natalie Stephenson [natalie.stephen...@postgrad.manchester.ac.uk]
> Sent: 14 November 2011 12:15
> To: jalem...@vt.edu; Discussion list for GROMACS users
> Subject: RE: [gmx-users] Potential Energy Landscape
>
> ________________________________________
> From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] on behalf 
> of Justin A. Lemkul [jalem...@vt.edu]
> Sent: 21 October 2011 13:25
> To: Discussion list for GROMACS users
> Subject: Re: [gmx-users] Potential Energy Landscape
>
> Natalie Stephenson wrote:
>>> Hi Justin (and gmx-users),
>>>
>>> I've been looking into using g_sham for the free energy landscapes, however
>>> I'm not sure what variables I should plot ... could I just use the g_energy
>>> (potential) outputs to produce the energy landscape??  Other examples I've
>>> seen using g_sham have done quite in depth eigenvector projections before
>>> plotting them using g_sham.
>>>
>> The free energy of potential energy is probably not a meaningful quantity ;)
>>
>>> What inputs would I require in order to determine how loading rate an
>>> increased loading rate on the simulation would change the force results?
>>>
>>> I know I'm probably being completely dumb but my use of maths has been
>>> sporadic to say the least in the last 7 years ... so getting back into it is
>>> proving more confusing!
>>>
>> You haven't provided a lot of detail about what you're doing, what you've
>> measured, or what you hope to achieve.  In general, one plots two variables 
>> (one
>> on each axis), and g_sham calculates a free energy based simply on the
>> probability of occurrence of these values.  For instance, for protein folding
>> experiments, often the RMSD relative to the known structure is one variable, 
>> and
>> something else like native contacts or hydrogen bonds is plotted as the other
>> variable.  The free energy surface is then generated as a function of
>> intramolecular association and similarity to a known structure.
>>
>> -Justin
>>
> Sorry it's taken so long to reply to this one, experimental issues dragged my 
> focus!
> I have performed force pulling experiments on a protein with both Gromacs MD 
> simulations and experimentally with AFM.  The problem I'm facing with the 
> data is the difference between the loading rates of the two approaches.  For 
> the MDS the loading rate is around 10 N/s, whereas the AFM experiments have a 
> much lower loading rate of 1 x 10^-8 N/s.
>
> I was told at a conference I attended that there was a way of constructing a 
> 'potential energy landscape' which would be able to use this to remove the 
> loading rate differences. However, I did not get a chance to find out how 
> this was possible.  I understand how g_sham works, however, I'm not sure what 
> - in this case - the input would be in order to construct such a 'potential 
> energy landscape'. Any insight into how I would be able to create this ... or 
> any other ideas on how I would be able to somehow relate the simulation 
> output to experimental data dispite the loading rate differences would be 
> GREATLY appreciated!!
>
> Thanks once again!!
> Natalie
>
>> Natalie
>>
>> ------------------------------------------------ Natalie Stephenson, B.Sc PhD
>> Research Associate
>>
>> Manchester Interdisciplinary Biocentre 131 Princess Street Manchester M1 7DN
>> x65816 ------------------------------------------------
>>
>> ________________________________________ From: gmx-users-boun...@gromacs.org
>> [gmx-users-boun...@gromacs.org] on behalf of Justin A. Lemkul
>> [jalem...@vt.edu] Sent: 12 October 2011 18:22 To: Discussion list for GROMACS
>> users Subject: Re: [gmx-users] Potential Energy Landscape
>>
>> Natalie Stephenson wrote:
>>> I was recently told in passing that it would be possible to construct a
>>> 'potential energy landscape' from the simulations I have performed. This
>>> way I could remove any loading rate differences between simulations and
>>> experimental force experiments I've been performing ... however I cannot
>>> find anywhere in which this is mentioned.
>>>
>>> The only thing close I could find that was close was the free energy
>>> landscape using g_anaeig under the Dihedral PCA
>>> (http://www.gromacs.org/Documentation/How-tos/Dihedral_PCA?highlight=dihedral+pca
>>>
>>> <http://www.gromacs.org/Documentation/How-tos/Dihedral_PCA?highlight=dihedral+pca>)
>>>   however, I'm not sure this is what I'm looking for.
>>>
>>> Does anyone know where I would be able to find out / read more about how to
>>> create potential energy landscapes from my simulation outputs?
>>>
>> g_sham produces free energy landscapes for any variables plotted against one
>> another.
>>
>> -Justin
>>
>> -- ========================================
>>
>> Justin A. Lemkul Ph.D. Candidate ICTAS Doctoral Scholar MILES-IGERT Trainee
>> Department of Biochemistry Virginia Tech Blacksburg, VA jalemkul[at]vt.edu |
>> (540) 231-9080 http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin
>>
>> ======================================== -- gmx-users mailing list
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> --
> ========================================
>
> Justin A. Lemkul
> Ph.D. Candidate
> ICTAS Doctoral Scholar
> MILES-IGERT Trainee
> Department of Biochemistry
> Virginia Tech
> Blacksburg, VA
> jalemkul[at]vt.edu | (540) 231-9080
> http://www.bevanlab.biochem.vt.edu/Pages/Personal/justin
>
> ========================================
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