From chemistry-request@server.ccl.net Sat Feb 24 01:10:49 2001
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Date: Sat, 24 Feb 2001 01:05:37 -0500
From: Rick Venable <rvenable@gandalf.cber.nih.gov>
To: "Claudio Redaelli (CSCS)" <redaelli@cscs.ch>
cc: CHEMISTRY@ccl.net
Subject: Re: CCL:CHARMM
In-Reply-To: <3A8B940A.67A5E7DE@cscs.ch>
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On Thu, 15 Feb 2001, Claudio Redaelli (CSCS) wrote:
>    Can you please send me the information about the right way to obtain
>  the source code of the CHARMM program?
> 
>  I'm trying to contact the CHARMM Development Project at Harvard
> University 
>  both by e-mail and by fax, with no response!

The only method known to work is that recommended below:

	----- blurb excerpt from  http://yuri.harvard.edu/  -----

For-profit companies should contact Molecular Simulations Inc.

Below is the standard reply to inquiries for the CHARMM program. 

We distribute the source code of the CHARMM program with documentation
to individual academic research groups for a $600 licensing fee. CHARMM
runs on a variety of UNIX workstations, including the SG Indigo
machines. No graphics are necessary. The present version of the program
being distributed is C27.

The license is issued to the head of a laboratory or research group.
Please send a letter with the full name and title of the professor in
charge of your group and formal mailing address. Describe briefly the
kind of research for which you intend to use the CHARMM program and the
computers you will be using. The letter should be addressed to:

The CHARMM Development Project
Professor Martin Karplus
Department of Chemistry & Chemical Biology
12 Oxford Street
Harvard University
Cambridge, Massachusetts 02138

		------ end excerpt ------


=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=
Rick Venable
FDA/CBER/OVRR Biophysics Lab
1401 Rockville Pike    HFM-419
Rockville, MD  20852-1448  U.S.A.
(301) 496-1905   Rick_Venable@nih.gov
ALT email:  rvenable@speakeasy.org
=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=




From chemistry-request@server.ccl.net Sat Feb 24 04:22:36 2001
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From: "Elisa Anzelmo" <eanzel@tin.it>
To: "CCL" <chemistry@ccl.net>
Subject: atoms with no partial charge in pdb files
Date: Sat, 24 Feb 2001 10:07:40 +0100

Hi,
I'm optimizing some proteins (1ido.pdb, zoop.pdb, etc), coming from0
the Protein Data Bank, with Hyperchem 6.01.
I've noticed that when I assign the partial charges by Amber96 the
atoms belongin' to the last 10 residues of every protein are not 
charged.
Can anybody explain me if there is a physics reason for this, or if
I've some problem in the converting procedure (PDB to ENT file)?
Thanks in advance, Elisa.


From chemistry-request@server.ccl.net Sat Feb 24 16:50:56 2001
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Date: Sat, 24 Feb 2001 13:51:02 -0800 (PST)
From: water Miller <nano_fs@yahoo.com>
Subject: solvation model for simulation of macromolecule
To: chemistry@ccl.net
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Hello everyone,

I am very new to the field, hope someone could provide

help, suggestion or comments. thanks a lot!

In reference, there are about 3 kinds of models:

(1)Discrete model: 
   Most or all solvent molecules explicitly interact  
 with solute in MM force field, but too expensive for 
  computation.
   My question: as the development of computation   
hardware and software9algorithum), it this still a   
problem?  At least, I have seen a lot of papers   
using this approach, eg. QM/MM.

(2)Continum model:
   the solvent is treated as a dielectric continuum,  
 providing a "reaction field". The solute and solvent 
  polarizes each other. the most advantageof this   
model is cheap for computing, but it neglects the 
   specific interactions between solvent and solute.

    My question: is this a serious problem? will the  
    dynamics by this approach be very different from  
    discrete model?   

(3)hybrid models:

   two-layer: discrete/QM for a few (1st shell)
solvent
            + continuum/MM       

   three-layer: discrete/QM for 1st shell solvent
              + 2nd layer solvent(explicit)/MM
              + continnum/MM
   
   My question: is this easy to implement for a   
dynamics simulation, MC or MD?

My personal impression from some papers: the discrete
model is more popular, and easy to implement, also
usually gives good results(compared with experiments).
is there any comment? 

Thanks a lot in advance!

Water


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