2013/8/13  <[email protected]>:
>
>
> W dniu wtorek, 13 sierpnia 2013 14:54:16 UTC+1 użytkownik Christoph Junghans
> napisał:
>>
>> 2013/8/13  <[email protected]>:
>> > Or is there any command which will tell csg_stat to get rid of PBC so
>> > that
>> > cell dimension will not have influcence on RDFs? I mean target
>> > distributions
>> > as well as during the iterations in IBI?
>> VOTCA reads the box from the tpr file. One could use a gro file as a
>> topology (--top conf.gro), but the gro file contains less information
>> (e.g. charges, mass, types will be wrong.). Gro files contain a box,
>> too, but for some reason, which I don't remember right now, VOTCA
>> won't use it.
>>
>> You can use a different topology file to calculate the rdfs
>> (cg.inverse.gromacs.topol). We originally added this feature, so that
>> one can calculated rdfs with a different number of exclusions, but one
>> can also use that to use a different box. In your case just make the
>> box huge.
>>
>> Cheers,
>>
>> Christoph
>
>
> Thank you. But when I set up the conf.gro to the box average from atomistic
> simulations the tpr file by grompp will be set up correctly. I tried this
> and all profiles are converging. However, the more accurate will be RDF
> which does not account the box size so without pbc. Is there any command in
> csg_stat which can calculate this like g_rdf -nopbc option? I realised in
> VMD that when changing the cell dimension RDFs changes....which makes sense.
> When setup without box size (dont use pbc) I got normalized distributions
> which will be more accurate in my case.
No, csg_stat doesn't have such an option! (see "csg_stat --help" for details).
However, feel free to add one ;-)

Like I said before, the easiest in your case will be to create a
special tpr with no box beforehand and give it to csg_stat via
the cg.inverse.gromacs.topol option, so that the special tpr is only
used for the rdf calculation, but not for the simulation.

Christoph
>
> Steven
>
>>
>> >
>> > Steven
>> >
>> > W dniu wtorek, 13 sierpnia 2013 11:34:51 UTC+1 użytkownik Valentina
>> > Erastova
>> > napisał:
>> >>
>> >>
>> >> On 13 Aug 2013, at 11:27, [email protected] wrote:
>> >>
>> >>
>> >>
>> >> W dniu wtorek, 13 sierpnia 2013 11:24:59 UTC+1 użytkownik Valentina
>> >> Erastova napisał:
>> >>>
>> >>>
>> >>> On 13 Aug 2013, at 11:21, [email protected] wrote:
>> >>>
>> >>> I used different software ACEMD driving my protein from 300K to 500K
>> >>> thousands of times to explore or possible conformations...so the box
>> >>> dimension was changing from 9.4 to 11.4 nm. At 300K it had 9.4 nm. I
>> >>> used
>> >>> all the states corresponding to 300K only. No I will change the box in
>> >>> my CG
>> >>> iterative method to 9.4 nm as I had 12 nm no clue why... Should work
>> >>> fine
>> >>> now. Thank you!
>> >>>
>> >>>
>> >>> May be some inconsistence with trajectory reading.
>> >>> Never used AceMD.
>> >>> V
>> >>>
>> >>
>> >> You better try that :) 60 ns a day with 100 K atoms using temp
>> >> annealing
>> >> ar one GPU  :)
>> >>
>> >>
>> >> Just implemented material science FFs onto gromacs, not reimplementing
>> >> again (pain). But sounds good;)
>> >>
>> >>
>> >>>
>> >>> W dniu wtorek, 13 sierpnia 2013 11:08:21 UTC+1 użytkownik Valentina
>> >>> Erastova napisał:
>> >>>>
>> >>>> So, you started with cubic box of 95A * 3  (gromacs units are nm)?
>> >>>> Then
>> >>>> you T annealed, got output confout.gro (with box size at the bottom
>> >>>> of the
>> >>>> file), change of the box size can be taken from trajectory.
>> >>>>
>> >>>> I am not too sure about your method, tbh, as annealing is a funny
>> >>>> thing
>> >>>> - it can cause system to lag behind. Personally, I wouldn't use a
>> >>>> system
>> >>>> that potentially can not have reached equilibrium to get reference
>> >>>> potentials for CG.
>> >>>>
>> >>>> .tpr is binary, i.e. you cannot read it.
>> >>>>
>> >>>> csg_stat - I am not sure, better ask developers, but I would expect
>> >>>> it
>> >>>> to come from the trajectory.
>> >>>>
>> >>>> V
>> >>>>
>> >>>>
>> >>>>
>> >>>> On 13 Aug 2013, at 10:56, [email protected] wrote:
>> >>>>
>> >>>> Sorry, my cell dimension was 95A (I was running temperature annealing
>> >>>> so
>> >>>> the box dimension changed). Where in tpr file can I see the actual
>> >>>> cell
>> >>>> dimension? I mean from where csg_stat takes the cell dimension to
>> >>>> calculate
>> >>>> RDFs?
>> >>>>
>> >>>> Steven
>> >>>>
>> >>>> W dniu wtorek, 13 sierpnia 2013 10:49:13 UTC+1 użytkownik Valentina
>> >>>> Erastova napisał:
>> >>>>>
>> >>>>> Hi,
>> >>>>>
>> >>>>> I am a little confused there.
>> >>>>>
>> >>>>> You need to have a well equilibrated system before you CG. My way is
>> >>>>> to
>> >>>>> run NPT, but make sure that the system is equilibrated and V is also
>> >>>>> constant.
>> >>>>>
>> >>>>> When you start CG, I would use NVT, check what is the P (normally
>> >>>>> completely off), then do a P-correction.
>> >>>>>
>> >>>>> Good luck, V
>> >>>>>
>> >>>>>
>> >>>>> On 13 Aug 2013, at 10:37, <[email protected]>
>> >>>>>  wrote:
>> >>>>>
>> >>>>> I think I know where is the reason... I set the wrong unit cell in
>> >>>>> my
>> >>>>> CG model. However, I run full atomistic in NPT and the cubic unit
>> >>>>> cell was
>> >>>>> changing between 94A and 114A. Which shall I set up in my CG run
>> >>>>> then which
>> >>>>> is in NVT?
>> >>>>>
>> >>>>> W dniu poniedziałek, 12 sierpnia 2013 17:02:36 UTC+1 użytkownik
>> >>>>> Valentina Erastova napisał:
>> >>>>>>
>> >>>>>> Hi, have you used scaling by by 1 /4 \pi r^2for bond  and  by 1/
>> >>>>>> sin
>> >>>>>> (\theta) for angle distribution?
>> >>>>>>
>> >>>>>> I assume those are angles & bonds.
>> >>>>>>
>> >>>>>> Best,
>> >>>>>> V
>> >>>>>>
>> >>>>>>
>> >>>>>>
>> >>>>>> On 12 Aug 2013, at 16:39, [email protected] wrote:
>> >>>>>>
>> >>>>>> Dear Users,
>> >>>>>>
>> >>>>>> I run 7500 iterations of the protein with 5 different bead types so
>> >>>>>> 15
>> >>>>>> distributions. Please, see attached 4 examples - black atomistic,
>> >>>>>> red
>> >>>>>> coarse-grained.
>> >>>>>> 14 of them have exactly the same shapes as atomistic but have
>> >>>>>> higher
>> >>>>>> values and they stopped converging after 6000 steps. Only one
>> >>>>>> (attached)
>> >>>>>> perfectly converged.
>> >>>>>> May that be the reason of the one converged so its a wrong
>> >>>>>> distribution so the other cannot? Or everything is ok and I just to
>> >>>>>> normalize them?
>> >>>>>>
>> >>>>>> Thank you,
>> >>>>>>
>> >>>>>> Steven
>> >>>>>>
>> >>>>>> --
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>> >>>>>> <Dsitributions_RDF.png>
>> >>>>>>
>> >>>>>>
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>>
>>
>> --
>> Christoph Junghans
>> Web: http://www.compphys.de
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-- 
Christoph Junghans
Web: http://www.compphys.de

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