Dear Marcc-André,

are you now just asking about the technical aspect, or about the
method itself? If the latter, there is no clear answer to your
problem. There are various methods available. The first question you
should ask yourself is what kind of properties you want to reproduce
in with your coarse-grained model.

Most methods implemented in VOTCA are structure based approaches (or
closely related to it) and therefore will most probably do wrong on
thermodynamics. You can e.g. check the VOTCA references
(http://www.votca.org/citations), there are also lot's of references
given in the papers for more details on the method or links to other
methods. That's still an incomplete list, but might be a good point to
start with.

If you want to act on the rdfs, I would start with IBI (see section in
the manual). Otherwise, also force-matching or a hybrid approach might
be worth a try. It's not yet officially supported in VOTCA, but
depending on your system, it might be worth to have a look at what the
MARTINI force field people did.

Don't hesitate to ask any further questions, but providing some more
details might help...

Best,
Victor

2011/9/1 Marc-André Dubois <[email protected]>:
> Hi all,
>           I tried to follow the tutorials that you provide on your website. 
> Coarse-grained models are not actually the biggest concern of my group, so I 
> have to start from the basis. As I actually understand the thing, I have to:
>
> 1. constructs an atomistic representation of the system, which will give to 
> you data to construct the coarse grained representation.
> 2. runs a molecular dynamic at the atomistic scale
> 3. obtains the radial distribution function for each of your CG beads
>
> From step 1 to step 3, I think that everything works fine. From these steps, 
> how it is possible to find the actual interaction potentials of the CG beads 
> to constructs a forcefield that GROMACS will understand? I am sorry that this 
> question would seems trivial, but as I previously said, I am not familiar 
> with these kind of experiments. Thank you,
>
> Marc-André Dubois
>
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