From hughc@extro.ucc.su.oz.au  Thu Nov  3 00:23:19 1994
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Date: Thu, 03 Nov 1994 15:27:56 +1000
To: chemistry@ccl.net
From: hughc@extro.ucc.su.OZ.AU (Hugh Capper)
Subject: Amber 
X-Mailer: <Windows Eudora Version 1.4.2b16>


Dear CCLers,
I am looking for a version of AMBER to run on a SGI or Intel X86 or the
source code to compile it for the above can anybody help me?
Thanks in advance,
Hugh Capper
Dept of Pharmacology
The Uni. of Sydney


From toukie@zui.unizh.ch  Thu Nov  3 06:23:24 1994
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Date: Thu, 3 Nov 1994 11:27:30 +0100 (MET)
From: "Hr Dr. S. Shapiro" <toukie@zui.unizh.ch>
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To: chemistry@ccl.net
Subject: Rate of rotation of methyl groups


Dear Colleagues:


     I am seeking information on the rate of rotation of methyl groups:

     (i) firstly, I am seeking information/references describing the rate of
rotation of the terminal methyl groups of n-alkanes at ca. room temperature
(either experimental or theoretical).

    (ii) secondly, I am seeking information/references describing the rate of
rotation of the C-19 methyl groups of steroids (or the rate of rotation of
methyl groups attached to structurally related, hindered quaternary carbon
atoms) at ca. room temperature (either experimental or theoretical).

   (iii) finally, I am seeking information/references on the RELATIVE rates
of rotation of perhydro and isotopically substituted methyl groups.  For
example, what would one expect to be the rate of rotation of a chiral methyl
group (CHDT) RELATIVE to a nonchiral perhydro methyl group (CH3) in the same
molecule at the same temperature?

     I thank all responders for generously sharing their information/calcula-
tions with me.


Yours respectfully,

(Dr.) S. Shapiro
Institut fuer orale Mikrobiologie und allgemeine Immunologie
Zentrum fuer Zahn-, Mund-, und Kieferheilkunde der Universitaet Zuerich
Plattenstrasse 11
Postfach
CH-8028 Zuerich, Switzerland

Internet: toukie@zui.unizh.ch
FAX-nr: ( ... + 1) 261'56'83

From palres.dnet.sandoz.com!bowlus@sandoz.com  Thu Nov  3 11:23:31 1994
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Date: Thu, 3 Nov 94 10:56:06 -0500
From: bowlus@palres.dnet.sandoz.com (Steve Bowlus)
To: "chemistry@ccl.net"@SNDZEH.dnet.sandoz.com
Cc: BOWLUS@sandoz.com
Subject: Amsol performance


A couple of weeks ago, I wrote:

>>>>

I am running Amsol 4.5 on an Indigo2 (150Mhz), trying to do solvation 
energies of compounds with ca. 15 heavy atoms.  These systems optimize for 
the gas phase in about 2 cpu minutes using the keyword "AM1".  For the 
solvation, I am using "AM1 SM2" and 4 cpu _hours_ later, things are still 
chugging along.  I have no experience with the solvation models, and would 
like know what order of magnitude of cpu times I should be expecting.  Also
, are there keyword combinations which will reduce this (I haven't tinkered 
with e.g. PULAY, since the gas phase calculation went so quickly)?

>>>> 

Here are the interesting replies.  Note particularly Cramer's remarks.  I have  also appended a summary of my experience.

****
I have used Amsol on an SGI 380 running as single user - my cpds were
peptides - 6 residues - and Amsol AM1 SM2 combination run for 1 week
without convergence. This was with Amsol 3, to be correct. Using
Amsol 4.0 on Ala-Ala took a several hrs on a R4400 Challenge M
Generally, it is known to take a long time to converge.
Authors of Ampac 5.0 (Semichem - Andy Holder) claim their implementation
of Amsol is much faster. Never tried it, though.

One suggestion made by Christopher Cramer was to do AM1 SM2 1SCF on the
gas optimized cpd  -  to have an idea of solvating that conformer.

Tudor

****************************************************************************
*  Tudor I. Oprea, MD PhD			Tel: (505) 667 2682	   *
*  Postdoctoral Research Associate		Fax: (505) 665 3493        *
*  Theoretical Biology and Biophysics (T-10)	Email:			   *
*  Los Alamos National Laboratory		tudor@t10.lanl.gov	   *
*  Mail Stop K710, Los Alamos NM 87545					   *
****************************************************************************

*****

I observed similarly long run-times in my limited experience with AMSOL.

If it's not too much trouble, would you please forward any useful replies
you receive to:  pearlman@vax.phr.utexas.edu ?

Thanks a lot.

-- Bob Pearlman

*****

   I feel I can answer this question fairly authoritatively . . . 

   The SMx solvation models as presently designed do not allow for analytical
first derivatives. We are working on this, but for the moment the only way to
do an optimization is by brute force finite differences. (Actually, even the
gas-phase optimizations are not truly analytical, but they get away with a
trick at the NDDO level that fails to be useful for solvation).

   While this might sound depressing, there is a flip side to the coin. 
As a rule, reoptimization in solution adds less than 5% to the total
solvation free energy relative to that calculated for the gas-phase geometry
(the only exception is for very polarizable systems, where small geometrical
changes can allow significant distortion of the electronic structure). Many
reports in the literature have appeared to this effect by other authors using
our models, and we have made these observations too (I'll send you refs if
you want, but don't want to waste bandwidth on the net). Since that 5% is
typically smaller than the intrinsic error in the model, it is negligible.
The frozen geometry calculations only take a few cpu seconds for a system of
the size you mentioned, so it is trivial to do the 1SCF calculations, and
then decide if you want to invest more time in the full optimization.

   I add as a final caveat that we are always skeptical about semiempirical
geometries after having found time and again some fairly dramatic error
in structure (especially intramolecular hydrogen bonds, five-membered rings,
amides, and transition states that can exhibit biradicaloid character). Our
preferred approach these days is to optimize at a more trustworthy level
(depending on your system, that may be anything from a force-field to
converged QM calculations) and then add solvation from an SMx calculation at
that frozen geometry.

   In closing, there are electrostatics-only continuum models that permit
analytical energy derivatives (e.g., the rather crude Onsager model available
in G92 and more refined versions that I believe are slated for release
sometime relatively soon, also Tomasi's PCM approach or Rivail's multipole
expansion in idealized cavities, coded into GAMESS-UK and the former perhaps
in MONSTERGAUSS). If you are dealing with molecules that do not have
stationary gas-phase structures (e.g., an amino acid zwitterion) then you
might consider such an approach. The virtue of the SMx models, however,
is that they have been developed to simultaneously account for 
non-electrostatic solvation effects, and thus predict solvation free 
energies that may be compared directly to experiment (Version 4.5 contains 
only water models, soon-to-be-released version 5.0 also contains 
hydrocarbon models, other solvents are in various stages of current 
development).

Best regards,

Chris

P.S. You'll find the above summarized into one sentence in section 8 of the
users' manual (which illustrates a nameless universal truth . . . )
-- 

Christopher J. Cramer
University of Minnesota
Department of Chemistry
207 Pleasant St. SE
Minneapolis, MN 55455-0431
(612) 624-0859
cramer@maroon.tc.umn.edu

A later exchange between Cramer and myself:

> I'm prepared for 
> significant time penalties for a 2 minute run (1+ order of magnitude), but 
> the 2-3 that we seem to be seeing is borderline acceptable.  We feel this 
> is something needed to do, though, since we are (among other things) 
> comparing the method to COSMO, which is fast if nothing else.
> 
   COSMO is a pretty method, although I would say it suffers from (i)
unoptimized radii for defining the dielectric boundary and (ii) it is, of
course, a pure electrostatic model and unable to handle the
non-electrostatics. Andreas Klamt was through here recently, and we had some
interesting discussions on some of these issues. We also compared the two
programs, and decided that the generalized Born solution to the Poisson
equation, and his Green's function approach, give much the same answer for
equivalent atomic radii.

   Incidentally, Don and I wrote a review of continuum methods for Rev. Comp.
Chem. and, if the damn volume ever comes out (it's only been 17 months now)
we made a fairly large comparison between COSMO and various other methods,
including our own. Bottom line was that COSMO seemed to slightly overpolarize
things, in our opinion, but otherwise correlated nicely with SM2 solvation
free energies. If you'd like, I'll send you a preprint of that chapter.

> Thanks for the information.  My first job ran about 5.5 cpu hours, but the 
> second (an amide. . .) is 15 and counting.
> 
   In the superstitious tricks that you might find useful category, it often
turns out that a small perturbation from the gas-phase geometry (say 0.1
angstroms in one bond length) helps speed convergence. That is because the
default optimizer in AMPAC is sometimes a bit confused when it is started out
very near a minimum-energy geometry. It thrashes around a lot before deciding
it was in a pretty good spot to begin with. On the other hand, if it has at
least one decent gradient to minimize, it seems to consider itself to have
converged more effectively. If you can spare the time, you might want to try
such an approach on your recalcitrant amide and see if it helps.

Best regards,

Chris

-- 

Christopher J. Cramer
University of Minnesota
Department of Chemistry
207 Pleasant St. SE
Minneapolis, MN 55455-0431
(612) 624-0859
cramer@maroon.tc.umn.edu

*****

Now, my experience:
I have made 20 runs with molecules ranging from 16 to 24 heavy atoms.  I have a
range of cpu times from 1.3 to 20 hrs on an 150 MHz Indigo2, with a mean of 7-8.
Of the runs, 4 were longer than 15 hours, 8 were 5 hours or less.  I don't know
how "fair" this test is or how "typical" my molecules are -- although they are
quite typical for ag chem ;-) -- as Cramer comments, there did appear to be
some thrashing about but I did not see any correlation  in run-time with atom 
count, specific functional groups, etc.

I haven't checked the values for 1SCF solvations of the gas phase structures
for most of the compounds, but if the values are acceptable, this will be a
blessing:  the run time is only on the order of a minute.

sb

===========================================================================
  Stephen B. Bowlus, Ph.D.                Computer-Aided Molecular Design 
                                          Research Division
  e-mail: bowlus@sandoz.com               Sandoz Agro, Inc.
  Phone:  + 1 415 354 3904                975 California Ave.
  Fax:    + 1 415 857 1125                Palo Alto, CA 94304
===========================================================================

From oesterei@hrz.ba-freiberg.de  Thu Nov  3 12:23:27 1994
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From: Ralf Oestereich <oesterei@hrz.ba-freiberg.de>
Subject: Still: SPARTAN and COLLAGE for printing?
To: chemistry@ccl.net (Computer Chemistry List)
Date: Thu, 3 Nov 94 17:42:59 MEZ
Mailer: Elm [revision: 66.25]



Dear Netters.

As I read before, it is possible to use "collage" to make
some printing with SPARTAN.

Well, I got the collage files from an FTP server,
we installed it in the AVS-programm, but----  what now?

Can explain us, how we can use collage for SPARTAN?

This would help us very much!!! Thank you in advance,

                        R. Oestereich



member of Inorganic Divison of the Bergakademie Freiberg, Germany

From cletner@remcure.bmb.wright.edu  Thu Nov  3 13:23:29 1994
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Date: Thu, 3 Nov 1994 12:44:10 -0800 (PST)
From: Charles Letner <cletner@remcure.bmb.wright.edu>
Subject: More AMBER atom types
To: Computational Chemistry List <CHEMISTRY@ccl.net>
Message-Id: <Pine.3.07.9411031210.A1737-a100000@remcure.bmb.wright.edu>
Mime-Version: 1.0
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Hello,
	I just finished reading the summary of kd7@tower.york.ac.uk about
atom types in AMBER.  It seems that this approach of taking a atom type
>from the AMBER force field and using this as an atom type in a non-protein
molecule is OK.  However, I'm wondering how general this is.  I'm planning
on including substrates in some of my upcoming MDs.  As these only contain
C, H, N, and O,  I can probably find similar atoms among the standard atoms
of AMBER.  So, is this reasonable or should I still think about creating
new parameters (ala tha Hopfinger & Pearlstein, 1984 article)?  I'd be
very interested in opinions as well as aspects that should be considered
when making this decision.
Thanks for your time,
Chuck

Charles Letner
Wright State University
Department of Biochemistry
Dayton, OH 45435
e-mail: cletner@remcure.bmb.wright.edu



From garciae@ucsub.Colorado.EDU  Thu Nov  3 14:26:00 1994
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Date: Thu, 3 Nov 1994 11:50:29 -0700 (MST)
From: Garcia Edgardo <garciae@ucsub.Colorado.EDU>
To: CHEMISTRY@ccl.net
Subject: CCL: Torsional potentials
Message-ID: <Pine.A32.3.91.941103113101.115229B-100000@ucsub.Colorado.EDU>
MIME-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII



Hi netters,

I'm doing some calculations in torsional barriers
using semiempirical(AM1/PM3) and ABinitio (HF level)  methods.
I noticed that AM1 and PM3 results are very diferent,
not only in the relative values but also in the
shape of the profiles, different minima and maxima.
(I am using Spartan 3.1 implementation with full geometry
optimization for each dihedral)

o AM1 seems to be in better agreement with experimental and
  ABinitio results (qualitative).
o PM3 seems to give too little importance
  to conjugation, or to over estimate VDW steric interactions,
  giving wrong locations for the minima and maxima.
o PM3 gives some sudden changes in energy of some points in
  the torsional profiles.

The question is, PM3 is a latter parametrization, why it's
not giving better results than AM1 (at least for this type
of calculations) ?

If you can point some references on ABinitio calculations
of torsional potentials for:
Benzo Phenolates, Esters, Ethers, and
Halide and Ciano Alkils, I would appreciate a lot.

Thanks,


Edgardo Garcia
Cristol Chem. & Biochem.
Univ. of Colorado
Boulder CO USA






From KEWISE@aardvark.ucs.uoknor.edu  Thu Nov  3 14:31:23 1994
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From: <KEWISE@aardvark.ucs.uoknor.edu>
Message-Id: <199411031911.OAA06105@www.ccl.net>
Date: Thu, 3 Nov 94 13:11 CST
Subject: Summary of MOPAC 6.0 C.I.Convergence Question
To: CHEMISTRY@ccl.net
X-VMS-To: IN%"CHEMISTRY@ccl.net"


Hello again,

I recently posted a request for suggestions on achieving convergence in MOPAC 6
configuration calculations, to which I recieved to following replies.  I am in
the process of trying some of the ideas out and if anyone is interested I can
let them know what worked the best.  One additional question: who distributes
MOPAC 93 and what does it cost?  I've seen MOPAC 7 on www.ccl.net but
have not been able to locate MOPAC 93.  At any rate, here are the responses.
Thanks again to all who replied.

Kristopher Wise
Univeristy of Oklahoma
Department of Chemistry and Biochemistry
KEWISE@aardvark.ucs.uoknor.edu


********************************************************************************


From:	IN%"grzesb@asp.biogeo.uw.edu.pl"  2-NOV-1994 05:02:33.94
To:	KEWISE@aardvark.ucs.uoknor.edu
CC:	
Subj:	

I am NOT sure if MOPAC 6.0 does correctly C.I>
As I know in MOPAC 93 ( or MOPAC 7) people changed much in the code
calculating C.I. 
So try to use newer version or at least conntac Dr Stewart ( the author 
of MOPAC )
Best wishes
G.Bakalarski (Poland)


********************************************************************************


From:	IN%"frj@dou.dk"  "Frank Jensen"  1-NOV-1994 06:09:47.65
To:	kewise@aardvark.ucs.uoknor.edu
CC:	
Subj:	mopac ci optimizations

	A couple of points:
	1) Do you really need geometries converged to less than 1.0 kcal/mol?
The energy should be stable to ~ 0.01 kcal/mol with a grad.norm of this size.
Relative energies of "accuracies" of 0.01 kcal/mol has no meaning in semiempirical
calculations, the inherent error is much larger.
	2) If you really need this tight convergence, ypu need to take care
that the gradients actually are calculated to an accuracy which allows small
steps, i.e. convergence to less than 1.0 may involve geometry steps of maybe
0.0001 Ang or less. Make sure that gradients are actually calculated sufficiently
accurate, i.e. tighten up the SCF convergence and use the analytical CI gradient
option.
	3) EF will work if you provide it with a good Hessian, specifying
HESS=1 will calculate the Hessian at the first step. This is expensive at the
CI level, you may try to use a Hessian from the RHF wave function, and just
read it in for use at the CI level.
	4) if these options do not work, I'll be happy to take a look at your
problem.

	Frank


********************************************************************************


From:	IN%"o-cha@cnj.digex.net"  "Matthew E. Harbowy" 31-OCT-1994 23:12:58.09
To:	KEWISE@aardvark.ucs.uoknor.edu, chemistry@ccl.net
CC:	
Subj:	CCL:Convergence in MOPAC C.I. calculations


>I am using MOPAC 6.0 to do calculations on fairly large polycyclic
>molecules related to porphyrins.  Part of this work involves optimizing
>geometries and calculating energies for the cations and anions of these
>molecules.  To make these calculations more accurate (hopefully) we are
>using the configuration interaction options in MOPAC 6, but have encountered
>some problems with convergence.  After reducing the gradient to below 1.0,

It's a great idea, one that i've tried to rationalize myself. It's also
a double correction, since parameterization adjusts the energies to 
include the 'correlation' piece once already, and what that means for
transition states is anyone's guess.

>the optimization begins to oscillate, and shows no sign of convergence
>after running for several hours.  A typical command line is as follows:
>
>AM1 PRECISE CHARGE=-1 C.I.=(4,2) VECTORS NODIIS

Indeed, I saw the same thing, and EF only makes it worse. NLLSQ was the
one that did the trick, and occasionally I would use SIGMA as well. Also,
you have to be very careful about picking your ci levels. sometimes (5,2)
is a much better choice due to near degeneracies which don't cause it
to abort with errors, but oscillate instead. 

Also, try dummy atoms, and define your geometries in different ways. A
well chosen zmatrix cured some, not all, of my ills. Part of my problem
turned out to be I was attributing more symmetry to the molecule than was 
true by a bad zmatrix definition. XYZ was right out because I was studying
a cyclization, and the orchestrated nature of the reaction required good
control of the zmatrix. I assume for porphyrin analogs you're using 
symmetry to cut down on the number of dependent variables. what I found was 
the forced symmetry led me to a multiple saddle point, not a minimum or
transition state.

>Kristopher Wise
>University of Oklahoma
>Department of Chemistry and Biochemistry
>KEWISE@aardvark.ucs.uoknor.edu

matt harbowy
tea chemist, thomas j lipton.
-- 
matt harbowy               |  
o-cha@cnj.digex.net        | "I'm the bear that went
greentea@eden.rutgers.edu  |  over the mountain."
harbowy@aol.com            |


********************************************************************************


From:	IN%"davem@hydra.convex.com" 31-OCT-1994 14:06:18.73
To:	KEWISE@aardvark.ucs.uoknor.edu
CC:	
Subj:	Re:  CCL:Convergence in MOPAC C.I. calculations

Hello Kristopher,

I don't think that the analytical CI gradients really work in  
MOPAC 6.0.  Please try the NOANCI keyword.  This should give
you better gradients.

Dave Mullally
Convex Computer Corp.


********************************************************************************


From:	IN%"rgab@trpntech.com"  "Richard Bone" 31-OCT-1994 12:41:09.49
To:	KEWISE@aardvark.ucs.uoknor.edu
CC:	
Subj:	Re: CCL-Convergence in MOPAC

If I understand from your message correctly that you are experiencing
problems in converging geometry optimizations (irrespective of level
of theory) I refer you to my ERROR-correction notice, published in
QCPE bulletin, February 1994  (Vol. 14, No. 1, p.10).  I think that this
should fix you up.

Richard Bone

Richard G. A. Bone, PhD.
Computational Chemist
Terrapin Technologies, Inc.
South San Francisco
USA

E-mail  rgab@trpntech.com

From longshot@chem.duke.edu  Thu Nov  3 16:23:29 1994
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Date: Thu, 3 Nov 94 15:35:28 -0500
From: longshot@chem.duke.edu (Brad Isbister)
Message-Id: <9411032035.AA11566@canada.chem.duke.edu>
To: chemistry@ccl.net
Subject: Re: CCL:More AMBER atom types


Charles Letner writes about the selection of atom types in AMBER.

The selection of atom types should always use a data set which resembles the
compounds to be investigated.  The original AMBER parameters which were
derived for proteins and nucleic acids are pretty good for the functional
groups found in such systems (peptide backbone, AA sidechains, C, T, G, A, etc).

If your system includes other functional groups, a literature search for AMBER
parameters which better reflect the 'real' system is a good idea.  These new
atom types can be included in an frcmod file for addition to the standard
parameter set.  Several papers have been written on 'non-standard' functional
groups.  In my work, I use the parameters for carbohydrates from S.W Homans,
Biochemistry, 1990, 29, 9110-9118.

If you want to know just what compounds were used to derive the standard AMBER
parameter set, get the original AMBER papers:  Kollman, Case, et al, JACS,
1984, 106, 765-784 and Kollman, Case, et al, J. Comp. Chem., 1986, 7, 230-252.
You should also look in the AMBER manual p23-24 for more info on the parameter
databases.

I've seen rumblings of "Does anyone(else) want to set up a database of
published AMBER parameters (or references to such)?"  But I don't think
anyone has taken the plunge and volunteered.

There is always the possibility that your compound is very different from
anything you can find.  In that case, refer to some papers on deriving atom,
bond, angle, and torsion parameters from spectroscopic data and/or Quantum
Mechanical simulation.  I haven't had to go that route yet.  Perhaps some
others on the CCL can help out with the references?

In the end, Molecular Mechanics is a game of assumptions.  Too many guesses and
your results are worthless or misleading; too few and you'll be running very
long and inefficient simulations.  You'll have to determine how similar the
database compounds are to the compound of interest.

Good Luck!

-Brad
---------------------------------Clip N Save------------------------------------
Brad Isbister					Duke University
longshot@chem.duke.edu				Department of Chemistry
Computational/Biophysical chemistry		E.J. Toone group

From helden@gaucho.ucsb.edu  Thu Nov  3 21:23:32 1994
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From: helden@gaucho.ucsb.edu (Gert von Helden)
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Subject: ff parameters for alkali ions
To: chemistry@ccl.net
Date: Thu, 3 Nov 1994 17:51:22 +22305458 (PST)
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Hi,
I am looking for force field parameters for alkali ions. I am using Sybyl 
and a couple (Li+, Na+..) are build in. However I would be interested in
Cs+, which is not in there. What I need to put it in is: a)vdw radius
b)electronegativity and c) "temperature factor" (have no idea what that is).
Does anybody have either references or parameters for alkali ions?
How do they get determined anyway?

thanks,  Gert

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+ Gert von Helden, Dept. of Chemistry, UCSB, Santa Barbara, CA 93106 +
+ Tel   : 805-893-2673, Fax   : 805-893-8703                         +
+ E-mail: helden@gaucho.ucsb.edu                                     +
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


From YQIN@aardvark.ucs.uoknor.edu  Thu Nov  3 23:23:34 1994
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From: <YQIN@aardvark.ucs.uoknor.edu>
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Date: Thu, 3 Nov 94 21:53 CST
Subject: Protein data bank
To: chemistry@ccl.net
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Dear Netters:


    I am interested in to get some structures of protein from protein data bank.
But I have some probelm to get in touch with the data bank. Can somebody give
me direction how and where I can get in touch with protein data banki( I mean
email address or whatever).  Thank you all for your help.  



                                           With my best regards



                                             yue qin

                                 yqin@aardvark.ucs.uoknor.edu


