Hi Renè,

This might be a silly question. In the documentation of GromPy it says that:

"The system consists of mono-atomic water molceules defined in the MARTINI force field. The intermolecular interactions between such molecules are modelled using the Lennard-Jones potential only."

My system is all-atom and all-hydrogen and I need to use the GBSA solvation model. Is it still going to work, or is the tutorial just an example of what you can do with GromPy?

Thanks,

     Gianluca

On Tue, 24 Jan 2012, René Pool wrote:

By the way, the tutorial can be found on the wiki page at
https://github.com/GromPy/GromPy/wiki/Tutorial:-Using-GromPy-in-GCMC-mode.

=====================================================
René Pool

Division of Molecular and Computational Toxicology
Department of Chemistry and Pharmaceutical Sciences
Vrije Universiteit Amsterdam
De Boelelaan 1083
1081HV AMSTERDAM, the Netherlands
-----
IBIVU/Bioinformatics
Department of Computer Science
Vrije Universiteit Amsterdam
De Boelelaan 1081a
1081HV AMSTERDAM, the Netherlands

Room P 2.75
E: r.p...@vu.nl
T: +31 20 598 76 12
F: +31 20 598 76 10
=====================================================

On 01/24/2012 09:30 AM, Pool, R. wrote:
      Hi Gianluca,

      You might want to take a look at GromPy
      (https://github.com/GromPy/GromPy).
      This is a python interface to the GROMACS library. Amongst other
      applications, there is an option to perform grand-canonical Monte Carlo
      using GromPy. The necessary energy evaluations are performed using direct
      library calls to GROMACS. In this way it is possible to get around the
      possibly prohibitive file I/O in shell implementations that use the
      GROMACS executables. A paper on GromPy and GromPy/GCMC has recently been
      accepted in JCC, so more details will follow. In the meantime you can
      have a look at the code and the tutorial on the above website.

      Good luck!

      Cheers,
      Rene
      =====================================================
      René Pool

      Division of Molecular and Computational Toxicology
      Department of Chemistry and Pharmaceutical Sciences
      Vrije Universiteit Amsterdam
      De Boelelaan 1083
      1081HV AMSTERDAM, the Netherlands
      -----
      IBIVU/Bioinformatics
      Department of Computer Science
      Vrije Universiteit Amsterdam
      De Boelelaan 1081a
      1081HV AMSTERDAM, the Netherlands

      Room P 2.75
      E: r.p...@vu.nl
      T: +31 20 598 76 12
      F: +31 20 598 76 10
      =====================================================

_____________________________________________________________________________________
From: gmx-users-boun...@gromacs.org [gmx-users-boun...@gromacs.org] on behalf
of Rodrigo Faccioli [rodrigo_facci...@uol.com.br]
Sent: 24 January 2012 05:29
To: Discussion list for GROMACS users
Subject: Re: [gmx-users] Monte Carlo with Gromacs and implicit solvent

Hi Gianluca,

I forgot to say that the step of compute the energies is considered from
pdb2gmx until g_energy.

Sorry about my oblivion.

Best regards,

--
Rodrigo Antonio Faccioli
Ph.D Student in Electrical Engineering
University of Sao Paulo - USP
Engineering School of Sao Carlos - EESC
Department of Electrical Engineering - SEL
Intelligent System in Structure Bioinformatics
http://laips.sel.eesc.usp.br
Phone: 55 (16) 3373-9366 Ext 229
Curriculum Lattes - http://lattes.cnpq.br/1025157978990218
Public Profile - http://br.linkedin.com/pub/rodrigo-faccioli/7/589/a5


On Tue, Jan 24, 2012 at 1:07 AM, Rodrigo Faccioli <rodrigo_facci...@uol.com.br>
wrote:
      Hi Gianluca,

      Thanks your question.

      All steps to obtain a generation with 200 individuals, on average,
      is 6 minutes for 1VII, example. In each generation I must 
      converted my proteins Dihedral to Cartesian representation, compute
      the energies, choose the individuals which will go to reproduction,
      save previous population. This test was using one core of a
      conventional Desktop computer.

      The proteins, that I have tested my algorithm, vary from 20 to 56
      amino acids.

      Best regards,

      --
      Rodrigo Antonio Faccioli
      Ph.D Student in Electrical Engineering
      University of Sao Paulo - USP
      Engineering School of Sao Carlos - EESC
      Department of Electrical Engineering - SEL
      Intelligent System in Structure Bioinformatics
      http://laips.sel.eesc.usp.br
      Phone: 55 (16) 3373-9366 Ext 229
      Curriculum Lattes - http://lattes.cnpq.br/1025157978990218
      Public Profile -
      http://br.linkedin.com/pub/rodrigo-faccioli/7/589/a5


On Tue, Jan 24, 2012 at 12:36 AM, Gianluca Interlandi
<gianl...@u.washington.edu> wrote:
      Thanks Enrico!

      Just wondering. How fast is it? Calling gromacs must have a
      lot of overhead. Also, do you call mdrun or does g_energy
      evaluate the energy?

      Gianluca

      On Tue, 24 Jan 2012, Rodrigo Faccioli wrote:

            Hi,

            Although I don't work with MC simulation, I have
            used Gromacs to obtain energies and others
            protein features in my Evolutionary Algorithms
            (EA).

            In general lines, I created a script that calls
            Gromacs programs and the output of these
            programs, such as g_energy (I read its xvg file),
            I stored it at a specific file which is
            read by my algorithm and its values are put into
            my data structure. I call Gromacs either
            implicit or explicit solvent. 

            My project is working with EA until now. However,
            the integration with GROMACS is able to
            work with other kind of algorithms such as MC.
            Actually, we have idea to work with MC. But,
            I don't know when it will be possible. If you
            want, we can talk about join these work.

            Best regards,

            --
            Rodrigo Antonio Faccioli
            Ph.D Student in Electrical Engineering
            University of Sao Paulo - USP
            Engineering School of Sao Carlos - EESC
            Department of Electrical Engineering - SEL
            Intelligent System in Structure Bioinformatics
            http://laips.sel.eesc.usp.br
            Phone: 55 (16) 3373-9366 Ext 229
            Curriculum Lattes -
            http://lattes.cnpq.br/1025157978990218
            Public Profile -
            http://br.linkedin.com/pub/rodrigo-faccioli/7/589/a5


            On Mon, Jan 23, 2012 at 11:39 PM, Gianluca
            Interlandi <gianl...@u.washington.edu> wrote:
                 Hi!

                 I would like to use gromacs to perform Monte
            Carlo simulations in implicit
                 solvent of a protein near a surface. The
            protein is treated as a rigid body
                 whereas the surface is fix.

                 I see that there are plans to code MC into
            gromacs:

               
             http://www.gromacs.org/Developer_Zone/Programming_Guide/Monte_Carlo

                 Is there a preliminary version?

                 If not, I wonder whether anybody has tried
            to do MC with gromacs using IMD and
                 MDDriver:

                 http://www.baaden.ibpc.fr/projects/mddriver/

                 Besides this. Is there an easy way to obtain
            the force field energy of a system
                 using gromacs? Would I have to run a 0-steps
            MD and read out the energy? I know
                 that this would have a big overhead in a MC
            simulation, but it might be worth
                 trying.

                 Thanks,

                     Gianluca

               
             -----------------------------------------------------
                 Gianluca Interlandi, PhD
            gianl...@u.washington.edu
                                    +1 (206) 685 4435
                                  
             http://artemide.bioeng.washington.edu/

                 Postdoc at the Department of Bioengineering
                 at the University of Washington, Seattle WA
            U.S.A.
               
             -----------------------------------------------------
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      -----------------------------------------------------
      Gianluca Interlandi, PhD gianl...@u.washington.edu
                         +1 (206) 685 4435
                         http://artemide.bioeng.washington.edu/

      Postdoc at the Department of Bioengineering
      at the University of Washington, Seattle WA U.S.A.
      -----------------------------------------------------

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-----------------------------------------------------
Gianluca Interlandi, PhD gianl...@u.washington.edu
                    +1 (206) 685 4435
                    http://artemide.bioeng.washington.edu/

Postdoc at the Department of Bioengineering
at the University of Washington, Seattle WA U.S.A.
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