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Subject: ORGLIST:  Varian->Bruker
Date:  Mon, 24 Jan 2000 13:38:08 +0100


Please reply to the original author (see From: line below).

From: Jonas Nilsson <jonni@ifm.liu.se>

How do I convert NMR-fid files from one format to another? Is there any free
software?
/jN

--
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From chemistry-request@server.ccl.net  Tue Jan 25 04:18:29 2000
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Some people asked me to summarise my results about density functional
programs with free source code.
The answers I got are listed below ( thanks to David, Peter, Bruno,
Frank, Fred, Hub).
Meike


http://www.dl.ac.uk:/CFS/
http://www.chem.uottawa.ca/DeFT.html
http://antas.agraria.uniss.it/software.html


NWChem:  http://www.emsl.pnl.gov:2080/docs/nwchem/nwchem.html
   Pretty much does everything, from HF to Car-Parinello MD.  Massively
   parallel, and so the warning from the authors is that it may not
   perform optimally on single processor workstations.

DeFT: http://www.chem.uottawa.ca/DeFT.html
   Gaussian Orbital DFT, relative of DeMon.  No symmetry, but source is
   included, and it builds on most platforms without too much trouble.

 And two more speculative programs.

MPQC:  http://aros.ca.sandia.gov/~cljanss/mpqc
Massively parallel quantum chemistry program.  DFT is not quite ready
for
prime-time, but the code is GPL'd and in C++, so if you feel like fixing
it....

Jeep: http://irrmawww.epfl.ch/fg/jeep/jeep.html
   May or May not be still in development.  Quantum MD code.

Supposedly GAMESS-US is readying a release that will include a gridless
DFT code.  It's not there yet, but hte stub routines have appeared. 
Check
their webpage, http://www.msg.ameslab.gov/gamess periodically.

Hope this helps.  Personally, I've used the first two, and DeFT is
probably easier to get to use, but NWChem is far more complete.  Depends
what you want; geometries and charges: DeFT,  Geometries, properties,
lots
of functionals, hybrid QM/MM, etc: NWChem.

                                                        -fred

From chemistry-request@server.ccl.net  Tue Jan 25 08:02:41 2000
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To: chemistry@ccl.net
From: shinoda@biol2.bio.nagoya-u.ac.jp (Kazuki Shinoda)
Subject: Program to convert CHARMM force field file to AMBER format
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Dear CCLers,

Does anyone have a program to convert CHARMM format
force field file to AMBER format ?

Best regard,

Kazuki

================================================
 Kazuki Shinoda, MC2
 Division of Biological Science, Graduate school of Science
 Nagoya University, Chikusa, Nagoya 464-8602, Japan

 E-mail : shinoda@biol2.bio.nagoya-u.ac.jp
 URL:      http://bio.nagoya-u.ac.jp:8001/~kazuki/kazuki.html
================================================


From chemistry-request@server.ccl.net  Tue Jan 25 05:44:15 2000
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From: Pieter.Stouten@eu.pnu.com (Pieter Stouten)
Subject: Re: CCL:Summary: flexible docking program
To: Computational Chemistry List <chemistry@ccl.net>,
        Renxiao Wang <renxiao@chem.ucla.edu>
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I am pleased to be credited with the attached mail on Affinity. 
However, it was not me. This is what I had written:

> If you have access to MSI software, you can use Affinity, which will 
> keep part of your enzyme rigid, part of it flexible but constrained
> to starting (e.g. crystallographic) coordinates and part of it
> completely flexible. It is basically an MD program (so it is not so
> useful for large numbers of ligands), but expressing the rigid part
> of the enzyme on a grid leads to dramatic speed ups. Affinity also
> has a continuum solvation model, but that is not fully reliable.
> However, if one does not study fully unconstrained proteins, the
> solvation term may help.
>
> The MSI implementation of Affinity was a joint collaboration between 
> Ciongxin Liang (then with Biosym, now with Sugen) and the DuPont
> Merck CADD group (Brock Luty, now at Agouron; me, now at P&U; and
> Zelda Wasserman). Please let me know if you are interested in the 
> papers describing that work.

Ciao,

Pieter

______________________________ Reply Separator _________________________________

Date: Mon, 24 Jan 2000 09:55:33 +0100 
From: Pieter.Stouten@eu.pnu.com (Pieter Stouten) 

You might want to look at Affinity from MSI (URL 
http://www.msi.com/life/products/insight/modules/affinity.html).  It is an 
automatic docking module for Insight II that incorporates Monte Carlo and 
simulated annealing methods to place a ligand within a receptor.  The 
method is designed so that after the Monte Carlo phase the receptor within 
the defined binding site is flexible by default.  In other words, all you 
have to do is define the extent of the binding site.  Every receptor atom 
within that region is flexible and free to move. 

Recent publications using Affinity are: 

1.  Kurinov, I. V., Myers, D. E., Irvin, J. D., Uckun, F. M. 1999. X-ray 
crystallographic analysis of the structural basis for the interactions of 
pokeweed antiviral protein with its active site inhibitor and ribosomal 
RNA substrate analogs. Prot. Sci. 8:1765-72

2.  Read, M. A., Wood, A. A., Harrison, J. R., Gowan, S. M., Kelland, L. 
R., et al. 1999. Molecular Modeling Studies on G-Quadruplex Complexes of 
Telomerase Inhibitors: Structure-Activity Relationships. J. Med. Chem. San 
Diego, CA 92121


From chemistry-request@server.ccl.net  Tue Jan 25 06:03:24 2000
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Date: Mon, 24 Jan 2000 09:00:36 +0000 (GMT)
From: DERMOT BROUGHAM <Dermot.Brougham@dcu.ie>
Subject: Summary: PC or UNIX, G98 or Titan
To: chemistry@ccl.net
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     Dear CCLers,
     I posted the following question quite some time ago, apologies for my 
     slowness in sending this summary.
                   Dermot
     
     The question was:
     >I have secured some (moderate) funding to get some hardware and software 
     >for QC calculations. I can now go one of several routes, though it is 
     >difficult to work out which is better (note there is a site licence here 
     >for G98 on UNIX).
     >
     >1. A UNIX box running G98
     >2. A PC running G98 under LINUX
     >3. A PC running TITAN
     >4. A combnation of 2 & 3
     >
     >My first question is which will run quicker given that I will be doing 
     >fairly large MP2 & B3LYP calculations and have the same sum to spend 
     >whatever route I go.
     >
     >
     >My second question(s) (if I may) is about Titan:
     >1. Does it have a big library of basis sets and can you include basis sets 
     >from elsewhere in the input (eg for Ru)?
     >2. Is it recognised, i.e. would I have any trouble publishing results from 
     >it?
     >3. I am told the interface is good for both input and visualisation, is 
     >this generally accaepted?
     >4. I presume geometry optimization will work on cartesian coordinates and 
     >that it can transform to redundant internal coordinates. Can I input in 
     >z-matrix format too?
     
     I quickly realised I couldn't run TITAN on PC with LINUX, I should 
     have said Jaguar (which is the same code but without the nice windows 
     front end of TITAN).
     
     
     The replies included:
     ****************************************************************** 
     Most flexible would be a PC under Linux, running G98 and, if you could 
     afford the additional license, Jaguar from Schroedinger.  That would 
     give you the compute functionality, if not the pretty front-end, of 
     the Titan solution.
     
     According to Wavefunc's docs, and both their and Schroedinger's web 
     pages, Titan is Wavefunction's Spartan front-end on top of 
     Schroedinger's Jaguar PS-GVB back-end.   So, the results should be 
     acceptable, since it's a known program (jaguar) doing the 
     computations, and according to messages in the CCL archive, it's about 
     a factor of 10 faster than its (nameless) competitors.
     
     Personally, I prefer the Unix solution, but that's because of being 
     familiar with the environment, and for G98 at least, the source-code 
     being available, meaning that as better processors, etc, come along, 
     you can recompile, tune, and optimize.  It also lowers your chances of 
     an OS revision breaking a pre-compiled executable, and leaving you 
     stranded until the company builds a new one.
     
     -fred
     
     ****************************************************************** 
     According to published results Jaguar is found to be 5 to 10 times 
     faster as G98 when doing large compuational tasks esp. MPx or DFT. As 
     Jaguar is integrated fully into Titan. This product seems to be a 
     quite good combination in terms of speed, accuracy and good 
     visualisation techniques.
     
     But there are two things which G98 handles better:
     1. There is no source code. You get a fully precompiled version of 
     either Titan / or Jaguar.
     2. Not everything g98 does can be done with Jaguar like NMR 
     calculations.
     
     Gaussian is the clear recognised standard in this field and you wont 
     have any problems publishing results obtained from g98 calculations.
     
     So my recommendations are the following:
     1. A fast PC running NT with Titan and G98W or 2. A fast PC running 
     Linux with g98 and Jaguar.
     
     
     Kind regards, Alex
     
     ******************************************************************
     
     I can't speak for Titan but my understanding was that it was a Windows 
     product rather than Linux.  You could dual boot to get G98 under Linux 
     and Titan under Windows. You can add a copy of GaussView for an 
     interface to Gaussian. 
     
     Gaussian can do all of 1) and 4). The GaussView interface would do 
     both input and visualization.  Can't speak to performance comparisons 
     as I have seen none for Titan.
     
     Douglas J. Fox
     Director of Technical Support
     help@gaussian.com
     
     ******************************************************************
     
     With a moderate budget, I would suggest a combination hardware-software 
     solution from Parallel Quantum Solutions. It is a small company of quantum 
     chemistry specialists. They sell 4-16 processor PCs running Linux with 
     already-optimized parallelized quantum software installed. Their software 
     will read and run G98 input files. They are very fast on MP2 and DFT. 
     I have bought and used a system of theirs and I am happy with it. 
     See their web page at http://www.pqs-chem.com/
     Best wishes, and I have no commercial interest in the company, 
     Brian Teppen
     ******************************************************************
     
     
     I have spoken to Parallel Quantum systems and some of their satisfied 
     customers, it does seem like a good option and may be what I do in the 
     end.
               Dermot



From chemistry-request@server.ccl.net  Tue Jan 25 19:39:11 2000
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From: chan@curl.gkcl.yorku.ca (Wai-To-Chan)
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Subject: Re: Summary: PC or UNIX, G98 or Titan
To: chemistry@ccl.net
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<<<<<<<< According to published results Jaguar is found to be 5 to 10 times
 faster as G98 when doing large computational tasks esp. MPx or DFT.>>>

	Correct me if I am wrong here. Comparison of performances of
Jaguar and Gaussian98 has never been published if there is any.

Wai-To Chan

From chemistry-request@server.ccl.net  Tue Jan 25 16:55:15 2000
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Date: Tue, 25 Jan 2000 15:51:13 -0500 (EST)
From: Iraj Daizadeh <daizadeh@nucleus.harvard.edu>
To: chemistry@ccl.net
cc: sangeeta@bioinfo.ernet.in
Subject: IN SUM: md simulations/small chunks of proteins/alpha-helices etc.
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Hello:

Here are responses to my query concerning references describing the
results of molecular dynamics calculations showing the stability of
alpha-helices in solution and its comparison with experiment.

In short, it seems that this sort of calculation either has been performed
sometime ago (David/Bob), or is still too computationally expensive to be
performed in its entirety -- as compared to experiment (Rick).

Thanks to David van der Spoel, Rick Venable, and Bob Latour; their
responses follow.

It would be interesting to see if there is any work performed on
alpha-helix-turn or any other elementary secondary structures in a
systematic way.

iraj

Iraj Daizadeh, Ph.D.
Harvard University
Department of Cellular and Molecular Biology
The Biological Laboratories
16 Divinity Avenue
Cambridge, MA 02138
Phone:   (617) 495-0783
         (617) 495-0560
Fax:     (617) 496-4313
Email:   daizadeh@nucleus.harvard.edu



xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Question:


On Sat, 22 Jan 2000, Iraj Daizadeh wrote:

> 
> Dear Members of the CCL:
> 
> Here are some questions that I have been interested in for some time; your
> thoughts would be appreciated.
> 
> Here's the general problem: Given a alpha helix cut out from a PDB
> protein, run md simulations to determine the folling:
> 
> 1. How can we ensure from md simulations that the alpha helix is stable in
> solution?  We solvate the alpha helix the run md simulations for how long?
> how much water [10 angstrom solvation shell?]? how many time steps? how
> long will the calculation take? and on what machine-- Cray?
> etc....details--details--details!
> 
> 2. References showing that results of the above calculation have been
> verified by experiment? References describing results of the above
> calculations on such small subsets of PDB data?
> 
> I ( as usual ) will post a summary of your responses.
> 
> Thanks, Iraj.
> 

xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Responses:
1outof4:
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx


Quite a feq MD simulations have been done on alpha-helices. I will point
you to my own older work that has all the references:

@Article{Spoel96a,
  author =       {David van der Spoel and Bert L. de
                  Groot and Steven Hayward and Herman J. C. Berendsen
                  and Hans J. Vogel},
  title =        {Bending of the Calmodulin Central Helix: A
                  Theoretical Study},
journal =        "Prot. Sci.",
year    =        1996,
volume = 5,
pages = {2044-2053}              
}

@Article{Spoel96b,
  author =       {David van der Spoel and Hans J. Vogel and Herman
                  J. C. Berendsen},
  title =        {Molecular Dynamics Simulations of {N}-terminal Peptides from a Nucleotide Binding Protein},
  journal =      "Proteins",
  year =         1996,
  volume =       24,
  pages =        {450-466}
}
Especially this latter has a systematic search of peptides to test for 
stability.

If you want to do calculations yourself: just get a couple of Pentium IIs, 
you can certainly do 1 or 2 ns a week per processor.
You should not use a plastic bag (sphere) with water,
since your helices will unfold and occupy a large volume. Use normal PBC, with
a cubic or truncated octahedron box.

Groeten, David.
________________________________________________________________________
Dr. David van der Spoel         Biomedical center, Dept. of Biochemistry
s-mail: Husargatan 3, Box 576,  75123 Uppsala, Sweden
e-mail: spoel@xray.bmc.uu.se    www: http://zorn.bmc.uu.se/~spoel
phone:  46 18 471 4205          fax: 46 18 511 755
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
2outof4:
xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx


On Sat, 22 Jan 2000, Iraj Daizadeh wrote:
> Here's the general problem: Given a alpha helix cut out from a PDB
> protein, run md simulations to determine the folling:
> 
> 1. How can we ensure from md simulations that the alpha helix is stable in
> solution?  

I'd say you can't, not with 100% certainty; but with a good deal of work
you might be able to develop a protocol with some degree of reliability,
enough to be useful.

One of the dilemmas in this area is evaluating the free energy of the
folded state vs. the unfolded state, in large part because there are so
many possible unfolded states.

> We solvate the alpha helix the run md simulations for how long?

Many nanoseconds, at least.  You may need to determine that yourself, by
testing against cases with known results, e.g. a couple cases where the
helix is stable in water in expt, and a couple cases where it isn't. 

You should probably also deliberately refold the peptide into random
coil configs (molten globule?) and subject it to the same protocol.

> how much water [10 angstrom solvation shell?]? 

I recommend constant P,T methods in a periodic cell, with at least 12 A
(typical nonbond cutoff) from the solute (protein) to the closest cell
face.  I wouldn't recommend using a sphere of water in general, and
certainly not without employing e.g. a reaction field method.

> how many time steps? 

Probably at least 10 ns per sim, but you should run sims of helices
which are unstable when excised to determine that.

> how long will the calculation take? 

A good Ph.D. project, or a very talented postdoc

> and on what machine-- Cray?

Whatever you can get access to-- considerable CPU time will be needed.
Cray if you have the dollars or grant writing skills needed, but CHARMM
on a Linux cluster would work for this as well.  

> 2. References showing that results of the above calculation have been
> verified by experiment? References describing results of the above
> calculations on such small subsets of PDB data?

I know this has been done for paired helices, esp. the leucine zipper
motif; the peptide GCN4-p1, 33 AA from the GCN4 protein, has been
studied extensively by expt (X-ray crystal, NMR) and MD/MC techniques. 

> how long will the calculation take? 

A good Ph.D. project, or a very talented postdoc

> and on what machine-- Cray?

Whatever you can get access to-- considerable CPU time will be needed.
Cray if you have the dollars or grant writing skills needed, but CHARMM
on a Linux cluster would work for this as well.  

> 2. References showing that results of the above calculation have been
> verified by experiment? References describing results of the above
> calculations on such small subsets of PDB data?

I know this has been done for paired helices, esp. the leucine zipper
motif; the peptide GCN4-p1, 33 AA from the GCN4 protein, has been
studied extensively by expt (X-ray crystal, NMR) and MD/MC techniques. 

Another area studied extensively by both expt and simulation techniques
is helix bundles, including some with designed helices.

I'm not as aware of the work on single, isolated helices; however, some
of the dimer or bundle literature may have refs to single helix work.

--
Rick Venable                  =====\     |=|    "Eschew Obfuscation"
FDA/CBER Biophysics Lab       |____/     |=|
Bethesda, MD  U.S.A.          |   \    / |=|  ( Not an official statement or
Rick_Venable@nih.gov          |    \  /  |=|    position of the FDA; for that,
http://www.erols.com/rvenable       \/   |=|    see   http://www.fda.gov  )



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3outof4
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Dear Iraj,

I cannot answer all your questions, but can give input on a couple.

>1. How can we ensure from md simulations that the alpha helix is stable in
>solution?
>
First of all, in general, I expect a free alpha helix NOT to be stable in
aqueous solution - my argument is that the main-chain H-bonds should be
able to form lower energy hydrogen bonds with water instead of its own
chain elements if totally unconstrained.  I suppose you could do a quick
assessment by doing mechanics calc in water at various degrees of helix
opening to assess energy changes to specifically address this.

>how much water [10 angstrom solvation shell?]?

Unfortunately, I think a stand alone solvation shell will only simulate a
shell of water in a vacuum, which will be very different than in bulk
water.  I believe you need to use repeat boundary conditions with full
hydration if you wish to simuate behavior in an aqueous environment.

Best wishes,
Bob Latour




===========================================

Robert A. Latour Jr., Ph.D.
Associate Professor of Bioengineering
   and Materials Science & Engineering
501 Rhodes Research Center
Clemson University, Clemson, SC 29634
robert.latour@ces.clemson.edu
tel: (864) 656 -5552 / fax: (864) 656-4466


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4 outof4:
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Dear Iraj,

Yesterday I emailed you my opinion about your questions on alpha helix
modeling and stability.  The best reference that I have found on this is
cited below - this paper does directly address alpha-helix stability and
dynamics modeling in aqueous solution.

M.J. Bodkin and J.M. Goodfellow, Competing interactions contributing to
a-helical stability in aqueous solution, Protein Science, 4: 603-612 (1995).

Regards,
Bob Latour


===========================================

Robert A. Latour Jr., Ph.D.
Associate Professor of Bioengineering
   and Materials Science & Engineering
501 Rhodes Research Center
Clemson University, Clemson, SC 29634
robert.latour@ces.clemson.edu
tel: (864) 656 -5552 / fax: (864) 656-4466

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