From Renate_Griffith@uow.edu.au  Mon Apr 10 00:28:22 1995
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Date: 10 Apr 1995 14:12:46 +1000
From: "Renate Griffith" <Renate_Griffith@uow.edu.au>
Return-Receipt-To: "Renate Griffith" <Renate_Griffith@uow.edu.au>
Subject: changes in .pdb file format
To: "COMPUTATIONAL CHEMISTRY LIST" <CHEMISTRY@ccl.net>,
        "DIBUG@comp.bioz.unibas.ch" <DIBUG-ADMIN@COMP.BIOZ.UNIBAS.CH>,
        "spartan_list" <spartan@wavefun.com>
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Hi everybody,
in its latest newsletter, the Protein Data Bank announced changes in format
of the ATOM and HETATM records and other changes to their format.
We use .pdb files as a standard when transferring files from unix to
macintosh systems and also import .pdb into wavefunction's spartan and
biosym's discover software.
Do we need to be concerned about the changes?
Renate

From noy@tci002.uibk.ac.at  Mon Apr 10 07:28:29 1995
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From: noy@tci002.uibk.ac.at (Teerakiat Kerdcharoen)
Message-Id: <9504101118.AA05409@tci002.uibk.ac.at>
Subject: Re: CCL:Does optimized structure depend on the input?
To: shubin@email.unc.edu (Shubin Liu), chemistry@ccl.net
Date: Mon, 10 Apr 1995 13:18:10 +0200 (DFT)
In-Reply-To: <Pine.A32.3.91.950407124043.226079C-100000@email.unc.edu> from "Shubin Liu" at Apr 7, 95 12:50:53 pm
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: Dear all CCLers:
: 
: Recently I come up with a question that using Gaussian 92, does the 
: optimized geometrical structure depend on the initial input? Since the 
: result is a local minimum, the answer seems yes. But how to avoid this 
: local minimum to obtain a global minimum? Please give me a reply if you 
: have an idea. Thank you!
: 
: Shubin


Dear Shubin,
	Gaussian 92 will locate to the next (closet) minima using
various methods, steepest descent, conjugated gradient and so on.
Therefore, you are right that the optimized geometrical structure
definitely depends on the initial input.
	To my limit knowledge, there is no ultimate method to locate
the global minimum, especially when the potential hypersurface
is rather complicated. The most promising method in the modern
days is "simulated annealing" [1] with the help of statistical mechanics,
molecular dynamics and Monte Carlo simulations to find the global
minimum. The idea is to search all the energetically possible
areas as much as possible by increasing temperature so that
molecular complexe can wander over the energy barrier (Gaussian
can't do that since it always goes downhill) and then gradually
decrease the temperature to allow the molecular complex to relax
to the lowest minimum. Statistical mechanics tools are used to
search the possible potential hypersurface. Somebody believes
that this is the ONLY gauranteed method to find the global minimum.[2,3]
The method is applied in connection with DFT and HF theory for mimization
of geometry and wave-function paremeters on the fly. This approach
is so-called Car-Parinello molecular dynamics [4] (see review in
[5]) which successfully works with solid-state but now extends 
to organic chemistry [6].

Reference
=========

1. S. Kirkpatrick, C. D. Gelatt Jr. and M. P. Vecchi, Science 220: 4598 (1983)
2. P. J. M. van Laarhoven and E. H. L. Aarts, Simulated Annealing:
   Theory and Applications (Reidel, Dordrecht, 1987).
3. B. Hartke and E. A. Carter, J. Chem. Phys. 97: 6569 (1992).
4. R. Car and M. Parinello, Phys. Rev. Letters 55: 2473 (1985).
5. D. K. Remler and P. A. Madden, Mol. Phys. 70: 921 (1990).
6. U. C. Singh and P. A. Kollman, J. Comput. Chem. 7: 718 (1986).

	Hope this helps somehow.
						take care,
						Teerakiat
----------------------------------------------------------------------------
Teerakiat Kerdcharoen
E-mail:   noy@tci2.uibk.ac.at (University of Innsbruck)
          noy@atc.atccu.chula.ac.th (Bangkok)  (Permanent E-mail address)
Homepage  http://www-c724.uibk.ac.at/noy/       
          http://atc.atccu.chula.ac.th/noyhome/    
-----------------------------------------------------------------------------

From cmsroot@scf.fundp.ac.be  Mon Apr 10 10:13:32 1995
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To: chemistry@ccl.net
From: cmsroot@scf.fundp.ac.be (Marc De Wil)
Subject: Crystallographic Teaching Programs Need


Dear Netters,


We are looking for programs that will help stundents who are having an
introduction lecture to crystallography. Especially we are seeking for
programs
to demonstrate symmetries in crystallographic structures.
Every references to other teaching program tools will be welcomed (we've
heard of a program called FOURDEM that demonstrates how does a DRX
resolution process works).
Many thanks in advance for your responds,
Sincerely Yours,

Marc De Wil

Facultes Universitaires Notre Dame de la Paix
Departement de Chimie
rue de Bruxelles 61
B-5000 Namur
BELGIUM

Tel. 32-81-72 45 57
     32-81-72 45 68
Fax. 32-81-75 45 30



From DAVID@UCONNVM.UCONN.EDU  Mon Apr 10 11:43:32 1995
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From: Carl David <DAVID@UConnVM.UConn.Edu>
Subject: Cu ab initio problems
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We have been attempting to use GAMESS in some computations on Cu(II) complexes
and experiencing difficulties with convergence which has generated questions.
Can some person on the net help us out?
Here are the questions:
1)What is the significance of populating extra orbital functions on the metal
above the 3d for e.g., Cu?
2)Using TZV basis functions, how was the default convergence criterion set?
We are suffering from an unending oscillation at low DIIS error (3E-6)
and we are tempted to abort the calculation.
3)Is there a good general reference on ab initio methods for transition
metals?
Thanks for any help you can give us.
Sincerely
Carl David & Jeff Bocarsly

From shubin@email.unc.edu  Mon Apr 10 12:28:39 1995
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Subject: CCL:Summary of the question: Does optimized structure depend on the input?
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Dear all CCLers:

Last Friday, I posted the question of whether the optimized structure 
depends on the input. I recieved a number of reponses from you guys. 
Thanks are due to all of you who promptly responsed my qusetion. 
Following are the answers:


-------------------------------------------------------------------------
>From TANG@kitten.chem.uh.eduMon Apr 10 09:51:49 1995

There is no optimization method to my knowledge that can GUARRANTEE to
reach a global minimum.  Searching a global minimum becomes more 
difficult with increase of the number of variables.  For small molecules,
chemical (or any) intuition is at times the only guide for searching what
is desired.  For instance, when dealing with TiCl_6 complex, it's good
to try Oh symmetric geometry first.  The "best" way other than the
Good luck.
--------------------------------------------------------------------------
From: David Close <R29CLOSE@ETSU.EAST-TENN-ST.EDU>

  Part of what you say is true.  But part of the answer depends on the
types of problems your are dealing with.  A good example of a local
minimum would be trying to do a calculation on an isolated molecule.
As torsion angles vary there are going to be geometries encountered
where strong intra-molecular hydrogen bonds form.  Often times the
calculation stops at this local minima.  However in a more realistic
situation, the atoms forming the intra-molecular bond are most likely
tied up with H-bonds to neighboring molecules.  But few of us can
afford the computer time to add very many neighboring molecules.  One
trick here is to use small neighboring molecules like waters of hydra-
tion.  But there are many other things that one can do.  First of all,
what systems are you studying, and what are you trying to learn?
---------------------------------------------------------------------------
>From lim@rani.chem.yale.eduMon Apr 10 09:52:30 1995

Most geometry optimization algorithms find a nearby local minimum,
as opposed to a global minimum. In general, it is not an easy task
to find out the global minimum of a molecule, especially when the
molecule becomes larger. But there are mothods for locating global
minima. The simulated annealing method is one example.
However, in general, we don't know how many conformers there will
be in a given molecule. So we try to find out as many (low-energy)
conformers as possible in a conformational space.
This is called 'conformational searching'.
There are two major categories in the conformational searching:
1) deterministic method
2) stochastic method
Method 1) is used in small to medium systems and method 2) in 
medium to large systems.
You can get more information from A. R. Leach "A Survey of Methods for
Searching the Conformational Space of Small and Medium-Sized Molecules"
in Reviews in Computational Chemistry, Ed. K. B. Lipkowitz and D. B. Boyd,
Vol. 2, VCH, 1991.
-Dongchul Lim
--------------------------------------------------------------------------
>From sbl@linus.herl.epa.govMon Apr 10 09:52:42 1995

To  the best of my knowledge there is no direct way to find a global
minima apart from a reasonably exhaustive search for all degrees of
freedom. The approaches may include systematic conformational searches ro
random sampling of conformational space using a molecular mechanics  
force  field level  of theory followed by a more  focused search using 
semi-empirical methods (for poorly  parameterized chemical species) and
ab initio calculations at selected local minima to  verify the global
minima at  a  given level of theory.   
  You should talk  with Alex Tropsha  with  the Pharmacy School  Modelling
Laboratory,   tropsha@gibbs.oit.unc.edu.
--------------------------------------------------------------------------
>From ccl@cric.chemres.huMon Apr 10 09:52:54 1995

As far as I know, there are numerous tricks, methods and practical recipes, 
but neither has strict guaranties that you will find the global minimum and 
not only a local one. 
---------------------------------------------------------------------------
>From montero@coch01.chm.tu-dresden.deMon Apr 10 09:53:27 1995

G92, as all other geometry optimizing theoretical procedures, looks
for minimal energy in a function of the nuclear coordinates. This func-
tion is the electronic hamiltonian of the molecule. If you start from
a geometry very near or very far from the absolute minimum, the result
could be a partial minimum. Gradients are calculated analiticaly, and
very accurate input data can give a first gradient displacement going
farther than the right amount. In such a case, a van der Waals minimum
could be attained (in a predisociative state, for example) in place
of the equilibrium geometry. A too distorted input can conduct to
unpredicatable results.

It is a matter of experience and doing it many times. If not, theore-
tical chemistry research is meaningless, because programs and computers
are doing all things.
----------------------------------------------------------------------------
>From elewars@alchemy.chem.utoronto.caMon Apr 10 09:53:42 1995

Shubin Liu (shubin@email.unc.edu) asked how one can be sure he has found the
global, rather than merely a local, minimum.  I think there is no short answer
to this question.  If you are looking at something like water or methane, where
everyone knows in a general way what the answer looks like, there is no
ambiguity (what's the n-fold analog of an ambiguity?), and you might even
dispense with the frequency job which is usually considered prudent to
characterize a stationary state.  But note that even very simple molecules can
have PES's with >1 minimum.
    If you are working with proteins I suspect that at the current state of
the art you may as well forget about nailing down the global minimum.  Somewhere
between water and a peptide you can worry about finding the global min. If, as
is usually the case, the various possible minima you are concerned about arise
>from conformational possibilities, the systematic way to look for the global
one is with a conformational search program as implemented in several commercial
packages, e.g. Spartan.  If you have no hangups about gambling, there is at least
one stochastic search program, PCGlobal, from Serena Software, which randomly
generates a slew of input structures, hopefully including some you may not have
thought of.  If your molecule is not too big you could do the job by hand,
using input structures corresponding to all reasonable-looking possibilities
for minima; your computational chemistry program should slide each one into
the nearest minimum for the level you're using; if size doesn't make it
impractical then do a freq job to see if the lowest-E stationary point is
really a min.
------------------------------------------------------------------------------
>From FOX@cmchem.chem.cmu.eduMon Apr 10 09:53:50 1995

  There are a number of possibilities raised by your question about how
the Gaussian input can give rise to a local minimum,

  1) You could have symmetry constrained the input and the true minimum
     does not have the initial symmetry

  2) You could have started near a local minimum and the global minimum
     is separated by a barrier.

  3) You supplied a Z-matrix which does not span the full conformational
     space, either by restricting some internal coordinates, i.e. having
     too few coordinates, or by supplying a set with a redundancy so that
     it effectively has too few variables.

  Only the third would get close to being an input error.  The first two
qualify as constrained solutions and local solutions respectively.  Check
to see that your input spans the full conformational space with the
keyword FOPT in place of OPT. It does not change the algorithm, simply
adds a check that the coordinate supplied are linearly independent and
sufficient in number to span the space.

  If you have symmetry constraing
then the frequency result will guide you in reducing the symmetry and
displacing toward the true minimum.  If you simply have located a local
minimum try SCAN'ing the surface, possibly with a lower cost method, to
locate other potential minima.

----------------------------------------------------------------------------
>From GOVENDEM@che.und.ac.zaMon Apr 10 09:54:01 1995

To obtain a global minimum, the entire PES
has to be scanned, and not a region..this is 
however difficult in some cases where there
is little experimental support.
----------------------------------------------------------------------------
>From bouyer@ext.jussieu.frMon Apr 10 09:54:12 1995

About local and global minimum, there is a simple answer:
we cannot be sure of the minimum is local or global. All optimizer converge
to an local minimum.
To be sure of a global one, try others geometries (a little distorted) and
calculate the energy.

Within gaussian, there is a keyword (I don't remember, perhaps SCAN, see
the documentation) that scan the potential energy surface. So gaussian can
do that for you.
--------------------------------------------------------------------------
>From noy@tci002.uibk.ac.atMon Apr 10 09:54:19 1995

	Gaussian 92 will locate to the next (closet) minima using
various methods, steepest descent, conjugated gradient and so on.
Therefore, you are right that the optimized geometrical structure
definitely depends on the initial input.
	To my limit knowledge, there is no ultimate method to locate
the global minimum, especially when the potential hypersurface
is rather complicated. The most promising method in the modern
days is "simulated annealing" [1] with the help of statistical mechanics,
molecular dynamics and Monte Carlo simulations to find the global
minimum. The idea is to search all the energetically possible
areas as much as possible by increasing temperature so that
molecular complexe can wander over the energy barrier (Gaussian
can't do that since it always goes downhill) and then gradually
decrease the temperature to allow the molecular complex to relax
to the lowest minimum. Statistical mechanics tools are used to
search the possible potential hypersurface. Somebody believes
that this is the ONLY gauranteed method to find the global minimum.[2,3]
The method is applied in connection with DFT and HF theory for mimization
of geometry and wave-function paremeters on the fly. This approach
is so-called Car-Parinello molecular dynamics [4] (see review in
[5]) which successfully works with solid-state but now extends 
to organic chemistry [6].

Reference
=========

1. S. Kirkpatrick, C. D. Gelatt Jr. and M. P. Vecchi, Science 220: 4598 (1983)
2. P. J. M. van Laarhoven and E. H. L. Aarts, Simulated Annealing:
   Theory and Applications (Reidel, Dordrecht, 1987).
3. B. Hartke and E. A. Carter, J. Chem. Phys. 97: 6569 (1992).
4. R. Car and M. Parinello, Phys. Rev. Letters 55: 2473 (1985).
5. D. K. Remler and P. A. Madden, Mol. Phys. 70: 921 (1990).
6. U. C. Singh and P. A. Kollman, J. Comput. Chem. 7: 718 (1986).

----------------------------------------------------------------------------

Best regards,

Shubin
.............................................................................
Shubin Liu

Department of Chemistry			    Email: shubin@email.unc.edu
University of North Carolina		           sliu@mulliken.chem.unc.edu
Chapel Hill, NC 27599-3290		    Tel  : (919) 962-0150(O)
USA                                                (919) 914-6923(H)
.............................................................................


From elcana@iqm.unicamp.br  Mon Apr 10 13:43:34 1995
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From: Anselmo Elcana de Oliveira <elcana@iqm.unicamp.br>
Message-Id: <199504101734.OAA01622@pilsen.iqm.unicamp.br>
Subject: C13 NMR chemical shifts
To: chemistry@ccl.net
Date: Mon, 10 Apr 1995 14:34:43 -0300 (EST)
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Hi netters

Does anybody know where I can find a program to calculate the C13 NMR
chemical shifts?

Please send the answers to me, not to the list.

Thanks,

	Elcana
	elcana@iqm.unicamp.br


From feaster@tessa.iaf.uiowa.edu  Mon Apr 10 13:43:38 1995
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From: shawn feaster <feaster@tessa.iaf.uiowa.edu>
Subject: protein-substrate TS modeling
To: modeling_help -- Amber Mailing List <amber@cgl.ucsf.edu>,
        BIOSYM Mailing List <dibug@comp.bioz.unibas.ch>,
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To All:

Ihave currently constructed the "transition state" for cholesterol esterase
and one of its substrates.  But, before I can proceed I need to obtain
suitable parameters to be used during dynamic and molecular mechanics
minimizations for the tetrahedral intermediates C-O(-) group. Is there
anybody out in cyber space that can give me some advice and/or references.
This would greatly enhance my experimental data which is awaiting the
modeling results for publication.  I currently do most of my work with
sybyl, but I will soon have access to stand alone charmm.

Thanks in advance,
Shawn Feaster
feaster@tessa.iaf.uiowa.edu


From dimitris@3dp.com  Mon Apr 10 14:43:39 1995
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Date: Mon, 10 Apr 1995 14:31:41 -0400
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To: chemistry@ccl.net
Subject: [Q] RCS and diff for Windows
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Mime-Version: 1.0


Because of a temporary loss of access to Usenet, I post this question
to CCL in case someone can help. Does anybody know of any version
control and file difference programs for Windows? For those familiar
with Unix, I need the equivalent of RCS/SCCS and 'diff' for Windows.
Thanks,



-- 
Dimitris K. Agrafiotis, PhD             | e-mail: dimitris@3dp.com
3-Dimensional Pharmaceuticals, Inc.     | tel:    (610) 458-6045
665 Stockton Drive, Suite 104           | fax:    (610) 458-8249
Exton, PA 19341



From merkle@parc.xerox.com  Mon Apr 10 19:58:39 1995
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From: Ralph Merkle <merkle@parc.xerox.com>
To: chemistry@ccl.net
Subject: 1995 Nanotechnology Conference
Message-Id: <95Apr10.165246pdt.12173@manarken.parc.xerox.com>
Date: Mon, 10 Apr 1995 16:52:32 PDT



CALL FOR PAPERS

Fourth Foresight Conference on Molecular Nanotechnology

SUMMARY: The conference will be held November 9-11, 1995, in Palo Alto. It is a
multidisciplinary meeting on molecular nanotechnology, that is, thorough
three-dimensional structural control of materials and devices at the molecular
level. Attendees will include chemists, materials scientists, physicists,
engineers, and computer scientists interested in learning about the field and
participating in its development. For further information, contact
foresight@cup.portal.com, or see the Web page:

     ftp://ftp.parc.xerox.com/pub/nano/nano4.html

ANNOUNCEMENT:

Fourth Foresight Conference on Molecular Nanotechnology
November 9-11, 1995
Palo Alto, California

Sponsor:     Foresight Institute
Cosponsors:  Caltech Materials and Process Simulation Center
             USC Molecular Robotics Lab
             Institute for Molecular Manufacturing

This conference is a meeting of scientists and technologists working in fields
leading toward molecular nanotechnology: thorough three-dimensional structural
control of materials and devices at the molecular level. The conference will
cover topics relevant to the pursuit of molecular control, drawing from fields
such as:

     supramolecular chemistry and self assembly
     proximal probes (e.g. STM, AFM)
     biochemistry and protein engineering
     computational chemistry and molecular modeling
     computer science (e.g. computational models, system design issues)
     natural molecular machines (e.g. flagellar motor, ribosome)
     materials science
     mechanical engineering (CAD) and robotics
     many others

Developments in these fields are converging, opening opportunities for fruitful
collaboration in developing new instruments, devices, and capabilities.

Topics and invited speakers include:

Donald Brenner, N. Carolina State Univ.
    Simulated Engineering of Nanostructures
Richard Colton, NRL
    Tip Surface Interactions
Eric Drexler, Institute for Molecular Manufacturing
    Directions in Nanotechnology
William A. Goddard III, Caltech
    Computational Chemistry and Nanotechnology
Tracy Handel, UC Berkeley
    Protein Design
Adm. David Jeremiah, USN (Ret.), Technology Strategies
    and Alliances, (Topic to be announced)
Ralph Merkle, Xerox PARC
    Design Considerations for an Assembler
Charles Musgrave, MIT
    Chemical Synthesis of Nanomachinery
Aristides Requicha, USC
    Molecular Robotics
Richard Smalley, Rice University
    Nanotechnology at Rice
J. Fraser Stoddart, University of Birmingham
    The Art and Science of Self-assembling Molecular Machines

FEYNMAN PRIZE

The 1995 Feynman Prize in Nanotechnology (and accompanying $10,000 award)
will be presented at the meeting to the researcher whose recent work has
most advanced the development of molecular nanotechnology. Nomination
information is available from the Foresight Institute, or see on the Web
ftp://ftp.parc.xerox.com/pub/nano/feynmanPrize.html

DEMONSTRATIONS

Leading vendors will demonstrate products useful in the pursuit of molecular
control, including molecular modeling software and hardware, and proximal probe
systems (e.g. STM).

CALL FOR PAPERS

Contributions on relevant topics are solicited for presentation in lecture or
poster format. Potential contributors are asked to submit an abstract (200-400
words), including names, addresses, telephone and fax numbers of the author(s),
email address, and an indication of whether oral or poster presentation is
preferred. Papers of both kinds will be reviewed for publication. Authors will
be encouraged to make their papers available electronically, and accepted
preprints will be published on the Web. In choosing papers, priority will
be given to (1) cogent descriptions of the state of the art in techniques
relevant to the construction of complex molecular systems, (2)
well-grounded proposals for multidisciplinary efforts which, if funded and
pursued, could substantially advance the state of the art, and (3) reports
of recent relevant research.

JOURNAL & BOOK PUBLICATION OF PROCEEDINGS

Proceedings of the conference will be refereed and published in a special
issue of the international journal Nanotechnology and later in book form.

     Abstracts due               June 30, 1995
     Notification of acceptance  August 1, 1995
     Manuscripts due             October 15, 1995

Abstracts should be directed to the Foresight Institute, Box 61058, Palo Alto,
CA 94306, USA; fax 415-324-2497; email foresight@cup.portal.com.

SITE AND ACCOMMODATIONS

Conference sessions will be held at the Hyatt Hotel in Palo Alto. Accommodation
arrangements should be made directly with the hotel. Reservations should be
made by October 23; when making reservations, mention that you are attending
the "Foresight Nanotechnology Conference" to obtain the lower conference room
rate. Deposits in the amount of the first night's stay plus tax are required to
guarantee reservations; these are refundable up to 6 PM on the date of arrival.
Room rate: $93, single or double occupancy, plus 10% local tax.

Hyatt Hotel
4219 El Camino Real
Palo Alto, CA 94306
(415) 493-8000 tel
(415) 858-1151 fax

TRANSPORTATION

The conference site is easily reached from San Francisco International Airport
and San Jose International Airport. Information on ground transportation
services will be mailed to registrants.

REGISTRATION FORM

(please print and mail or fax)

Name:

Title: Dr. Prof. Ms. Mr.

Address:

Tel.:

Fax:

Email:

Position (programmer, professor, director, etc.):

Organizational affiliation (for your badge):

How did you hear about this conference:

The registration fee includes the scientific program, Wednesday evening
reception, Thursday and Friday luncheons, and a copy of the
proceedings journal issue. (Student and one-day rates do not include
proceedings.)  Amounts over $100 are tax-deductible as a charitable
contribution.

postmarked:            by Sept. 1     after Sept. 1
Regular                   $350            $400
Academic, nonprofit,
  governmental            $275            $325
Student                   $100            $125
One day (specify day)     $135            $160

Amount enclosed: $

Payment may be made by VISA, MasterCard, check, or international money
order valid in the U.S. Make checks payable to "Foresight Conferences";
checks and bank drafts must be in U.S. dollars drawn on a U.S. bank.
Refunds of registration fees can only be made on receipt of a written
request which must be postmarked no later than September 15, and are
subject to a $50 administrative fee. Credit card registrations may be
faxed.

Card #:

Exp. date:

Signature (required for credit card registrations):


Mail or fax registration to:

Foresight Institute
Box 61058, Palo Alto CA 94306 USA
Tel. 415-324-2490       Fax 415-324-2497
Internet: foresight@cup.portal.com

From cmsroot@scf.fundp.ac.be Mon Apr 10 10:06:44 1995
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	by www.ccl.net (8.6.10/930601.1506) id KAA22959; Mon, 10 Apr 1995 10:06:42 -0400
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          id AA33795; Mon, 10 Apr 1995 15:49:45 +0200
Date: Mon, 10 Apr 1995 15:49:45 +0200
Message-Id: <9504101349.AA33795@couperin.scf.fundp.ac.be>
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Mime-Version: 1.0
Content-Type: text/plain; charset="us-ascii"
To: chemistry@ccl.net
From: cmsroot@scf.fundp.ac.be (Marc De Wil)
Subject: Crystallographic Teaching Programs Need



Dear Netters,


We are looking for programs that will help stundents who are having an
introduction lecture to crystallography. Especially we are seeking for
programs
to demonstrate symmetries in crystallographic structures.
Every references to other teaching program tools will be welcomed (we've
heard of a program called FOURDEM that demonstrates how does a DRX
resolution process works).
Many thanks in advance for your responds,
Sincerely Yours,

Marc De Wil

Facultes Universitaires Notre Dame de la Paix
Departement de Chimie
rue de Bruxelles 61
B-5000 Namur
BELGIUM

Tel. 32-81-72 45 57
     32-81-72 45 68
Fax. 32-81-75 45 30




From elcana@iqm.unicamp.br Mon Apr 10 13:41:56 1995
Received: from pilsen.iqm.unicamp.br  for elcana@iqm.unicamp.br
	by www.ccl.net (8.6.10/930601.1506) id NAA27193; Mon, 10 Apr 1995 13:40:49 -0400
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From: Anselmo Elcana de Oliveira <elcana@iqm.unicamp.br>
Message-Id: <199504101734.OAA01622@pilsen.iqm.unicamp.br>
Subject: C13 NMR chemical shifts
To: chemistry@ccl.net
Date: Mon, 10 Apr 1995 14:34:43 -0300 (EST)



Hi netters

Does anybody know where I can find a program to calculate the C13 NMR
chemical shifts?

Please send the answers to me, not to the list.

Thanks,

	Elcana
	elcana@iqm.unicamp.br



From chmigorn@leonis.nus.sg  Mon Apr 10 23:28:42 1995
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Date: Tue, 11 Apr 1995 11:23:48 +0800
From: Novak Igor <chmigorn@leonis.nus.sg>
Message-Id: <199504110323.LAA19072@leonis.nus.sg>
Apparently-To: chemistry@ccl.net


Dear netters, can someone let me have the correct address of the site which has qc benchmarks?
The address I have: http://www.emsl.pnl.gov
appears to be wrong.
Thanks!
I.Novak, e-mail: chmigorn@nus.sg

