From owner-chemistry@ccl.net  Fri Aug  4 04:01:14 1995
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To: BILL WELSH <C1790@SLVAXA.UMSL.EDU>
From: peon@medchem.dfh.dk (Per-Ola Norrby)
Subject: Re: CCL:Question about Electrostatics in Molecular Mechanics
Cc: chemistry@ccl.net


At 16.34 95-08-03, BILL WELSH wrote:
>Dear Netters,
>
>Please help settle a small controversy.  For a particular molecular
>mechanics calculation, I derived partial atomic charges from bond
>dipole moment measurements made in nonpolar solvent.  I then ran
>molecular mechanics calculations using an in vacuo dielectric constant
>of 1.00.  A colleague argues that I must use a dielectric constant
>appropriate to the nonpolar solvent from which the charges were
>derived (e.g., 2-3).  It seems to me that the charges already embody
>the effect of the nonpolar solvent's dielectric constant, and so using
>the in vacuo value of 1.00 is okay and perhaps preferred.  Stated another
>way, it seems to me that using these charges AND the dielectric of 2-3
>would count the effect of the nonpolar solvent twice.
>
        Dear Bill

        How to handle charges correctly is probably one of the hardest
problems in molecular mechanics today.  The recommendations usually vary
between the force fields too, so some details on your system would help.
However, almost all mature methods use environmentally independent partial
charges (or bond dipoles, ...).  The parameters of your force field are
probably derived to reproduce gas phase data, so you should expect best
results if you also want to predict gas phase or in vacuo behavior.  If you
want to predict how the molecules behave in a solvent, you should add a
solvent model.  The simplest possible solvent model is changing the
dielectric constant.

        So, what are you trying to predict with your calculations?  What
force field are you using?

        Best Regards,

        PeO Norrby

 *  Per-Ola Norrby
 *  The Royal Danish School of Pharmacy, Dept. of Med. Chem.
 *  Universitetsparken 2, DK 2100 Copenhagen, Denmark
 *  tel. +45-35376777-506, +45-35370850    fax +45-35372209
 *  Internet: peon@medchem.dfh.dk, peo@compchem.dfh.dk



From owner-chemistry@ccl.net  Fri Aug  4 06:31:16 1995
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Subject: principal components & least-square proc.
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Dear Netters,

I have got several answers to my yesterday question
on principal components. I will send a summary for those
who are interested in the problem. However there is a
point I should shed more light to. The problem in question
is, as several people realized, the construction of a
best-fit plain to points in the 3D space. Some answers
suggested that this is an ordinary least-square fitting
problem in 3D. It is not so simple. It would be very easy
to explain it with pen & paper, I try now in words.

Imagine a normal least-square procedure: we have a number
of experimental data, and we construct the linear
regression equation y=ax+b. So we have the points 
in the x-y system, and the regression line:

y
|          ./
|      .   /
|       . /
|        /
|       /
|     ./  .
|     / .
|   ./
|_________________________________________x


(If the illustration looks awfull, switch to the fixed
system font or fixed courier)

According to the math of the normal least square procedure,
as far as I know,
NOT the distances of the points and the line are minimized 
(i.e. a perdendicular from a point to the line), but the 
difference of the measured and the calculated y values,
which is represented graphically by a line between the point
and the regression line and it is parallel with the y axis:


y
|           /
|      .   /
|      |  /
|      | /
|      |/
|      / 
|     /  
|    
|_________________________________________x


(Sorry, if my English is similar to the flight of a
penquin, but I hope it can be understand.) The same
applies in 3D,4D etc situations. One of the consequences
is for example that if I rotate the data set, the
regression line (plane) will not
rotate accordingly, but funny results can be obtained.
This is the reason why I asked for help concerning the
principal component method in my yesterday e-mail.
(Although I like math, I am a chemist first and foremost)

Best wishes 

Tamas

*****************************************************************************
   Tamas E. Gunda, Ph.D.               phone: (+36-52) 316666 ext 2479
   Research Group of Antibiotics       fax  : (+36-52) 310936
   L. Kossuth University               e-mail: tamasgunda@tigris.klte.hu
   POBox 36                                   
   H-4010 Debrecen
   Hungary
*****************************************************************************

From owner-chemistry@ccl.net  Fri Aug  4 07:16:17 1995
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Date: Fri, 4 Aug 95 12:46:49 MET
To: chemistry@www.ccl.net, CHMINF-L@IUBVM.INDIANA.EDU,
        ICS-L@umdd.umd.edu, orgchem@extreme.chem.rpi.edu,
        physics@ubvm.cc.buffalo.edu
Subject: Graph-theoretical description of mass spectra


Dear Netters,

we are planning to develop methods for the automatic interpretation
of mass spectra. In this context, we are also thinking of describing
the spectra by graphs, for example peaks are vertices and the edges
reflect some kind of "B comprises A".

We would like to get in contact with scientist who have also some experience in
this field. Moreover, we would appreciate any pointers to literature
on automated interpretation of mass spectra in general and on the usage
of graphs for that in particular.

I will summarize the answers if there is enough interest.

Thanks in advance.

Best wishes,
Th. Wieland

P.S.: The summary of my recent question to CCL on topological indices
      will come soon. I'm still waiting for some sources to answer.


Thomas Wieland               +---------------+
Dipl. Math.                  |+----    +----+|
Lehrstuhl II f. Mathematik   |\    \   |    ||
Universitaet Bayreuth        | \    \  |    ||
                             |  \    \ |    ||
95440 Bayreuth               |   \    \\    ||
Germany                      |    \    \\   ||
Tel. +49 (921) 553386        |     \     \\ ||
Fax  +49 (921) 553385        |      \-------||
                             +---------------+


From owner-chemistry@ccl.net  Fri Aug  4 10:01:17 1995
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I'm searching for values of electronegativities for some functional groups.
I'm doing investigations concerning EN vs. bond lenth etc. The ligands in the
systems are

	F OH Cl NH2 Br I CH3 H
This would be the "right" order, if you take into account only the EN of the atoms. Some other suggestions or literature?

				Bye, AHG...

---------------------------------------------------------------
   Andreas Goeller               Computer Chemie Centrum der
   Dipl.-Chem.    	        Universitaet Erlangen/Nuernberg
                                      Naegelsbachstr. 25
phone: +49(0)9131-856583               D-91052 Erlangen 
  fax: +49(0)9131-856565                   Germany
email: goeller@organik.uni-erlangen.de      
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---------------------------------------------------------------

From owner-chemistry@ccl.net  Fri Aug  4 10:16:17 1995
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From: tony@bioc1.biosym.com (Tony Schmidt)
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To: ccl.net!chemistry-request@bioc1.biosym.com
Subject: Re:  CCL:Question about Electrostatics in Molecular Mechanics
Cc: tony@biosym.com, chemistry@ccl.net


On Aug.8 Bill Welsh wrote:

Dear Netters,

Please help settle a small controversy.  For a particular molecular 
mechanics calculation, I derived partial atomic charges from bond 
dipole moment measurements made in nonpolar solvent.  I then ran 
molecular mechanics calculations using an in vacuo dielectric constant 
of 1.00.  A colleague argues that I must use a dielectric constant 
appropriate to the nonpolar solvent from which the charges were 
derived (e.g., 2-3).  It seems to me that the charges already embody 
the effect of the nonpolar solvent's dielectric constant, and so using 
the in vacuo value of 1.00 is okay and perhaps preferred.  Stated another 
way, it seems to me that using these charges AND the dielectric of 2-3 
would count the effect of the nonpolar solvent twice.

Any opinions on this matter are appreciated.

Thanks ...

Bill Welsh
Dept. of Chemistry
Univ. of Missouri-St. Louis
-----------------------------------------------------

If you have dipole moments in solvent, you may have to scale them for vacuum
using e.g. strategy by Sharp et al, J.Phys.Chem. 96, 3822 (1992).

Tony Schmidt
tony@biosym.com

From owner-chemistry@ccl.net  Fri Aug  4 10:31:20 1995
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Date: Fri, 4 Aug 1995 10:29:12 -0400 (EDT)
From: Dong Xu <XUDONG@FCRFV2.NCIFCRF.GOV>
To: chemistry@ccl.net
Message-Id: <950804102912.20200508@FCRFV2.NCIFCRF.GOV>
Subject: Re: Question about Electrostatics in Molecular Mechanics


> Dear Netters,
>
> Please help settle a small controversy.  For a particular molecular
> mechanics calculation, I derived partial atomic charges from bond
> dipole moment measurements made in nonpolar solvent.  I then ran
> molecular mechanics calculations using an in vacuo dielectric constant
> of 1.00.  A colleague argues that I must use a dielectric constant
> appropriate to the nonpolar solvent from which the charges were
> derived (e.g., 2-3).  It seems to me that the charges already embody
> the effect of the nonpolar solvent's dielectric constant, and so using
> the in vacuo value of 1.00 is okay and perhaps preferred.  Stated another
> way, it seems to me that using these charges AND the dielectric of 2-3
> would count the effect of the nonpolar solvent twice.
>
> Any opinions on this matter are appreciated.
>
> Thanks ...
>
> Bill Welsh
> Dept. of Chemistry
> Univ. of Missouri-St. Louis


Dear Bill,

It is still controversial how to choose the dielectric constant in molecular 
mechanics calculation. Some choose 1, some choose larger than 1, and some choose a 
distance dependent (e.g. 1/r) parameter. 

The current point charges were calculated under the condition without perturbation 
of external electric field. When two charges interact with each other, not only the 
effective point charges move accordingly to have the dielectric effect, but also 
eletrons redistribute themselves to have the so-called electronic polarizability. 
So if you choose a dielectric constant of 1.00, you can model dielectric effect of 
ion (nuclei), but you do not account completely for the polarizability of electron. 

That's why many people attempt to use a dielectric constant large than one. It was 
suggested 2.0 for proteins and 4.0 for membranes. But since there is no really good 
model to include the polarizability of electron, it is still acceptable to use a 
dielectric constant of 1.00. It seems that dynamics of biopolymers is not very 
sensitive to electrostatics in many cases. For example, many simulations used an 8A 
distance cutoff for Coulomb forces, which loses a significant portion of 
electrostatics, but good results were still obtained anyway.

Dong Xu
Laboratory of Mathematical Biology
NCI/Frederick Cancer Research and Development Center
P.O. Box B, Bldg. 469, #151
Frederick, MD  21702-1201

From owner-chemistry@ccl.net  Fri Aug  4 10:46:28 1995
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Date: Fri, 4 Aug 1995 13:13:13 -0400 (EDT)
From: Charles Letner <cletner@remcure.bmb.wright.edu>
Subject: Benchmark summary
To: Computational Chemistry List <CHEMISTRY@ccl.net>
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Hello all,
	Two weeks ago I possed the question about benchmarks.  As promixed
here is the summary.
Thanks to all who responded!
Chuck 

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

Original post:

Hello everyone,
	I would like to start adding some basic benchmarking to some code
I have (both C/C++ and fortran).  But I have a couple of question.  First,
what are your opinions on various benchmarks.  For example, cpu time could
be one benchmark.  However I see this as problematic.  I'm working on
moving code to parallel machines.  CPU time doesn't appear to me to take
into account that the code could potentially take up more cpu time due to
overhead involved in running multipule cpus while executing much faster in
terms of "wall clock" time, ie/ user time.  Mflops seems like an
alternative that would overcome this but may be harder to implement.
	This brings me to my second question.  How are you implementing
these methods into your code?  I'd be interested in function calls,
libraries, etc... that could be used at runtime.  I would like
to have methods that are portable across different plateforms as the
ultimate idea is to compare benchmarks of actual runs on multipule
plateforms.  I would also be interested in any references on this topic.
	I sincerely appretiate any time you take in responding.  I will
summarize any responses to the net towards the end of next week.
Regards,
Chuck

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

Responses:

From: Hinsen Konrad <hinsenk@ERE.UMontreal.CA>


Well, you should calculate whatever is relevant for you. CPU time
is relevant if you are billed for it, and wall clock time is
relevant because you have to wait for it. So why not have both?
MFLOPS are pretty useless; they express to speed of a piece
of hardware, and that with reference to hardware-dependent
units.

I doubt that there is anything really portable for parallel machines.
But every operating system provides some functions for finding the CPU
time; it should be in the documentation. IRIX, like many other Unix
versions, has the system function times() to be called from C and C++
programs and the Fortran functions etime() and dtime().  I wouldn't
worry too much about portability - just write a single
machine-dependent function to calculate what you want; it won't be
more than a couple of lines.

-------------------------------------------------------------------------------
Konrad Hinsen                     | E-Mail: hinsenk@ere.umontreal.ca
Departement de chimie             | Tel.: +1-514-343-6111 ext. 3953
Universite de Montreal            | Fax:  +1-514-343-7586
C.P. 6128, succ. A                | Deutsch/Esperanto/English/Nederlands/
Montreal (QC) H3C 3J7             | Francais (phase experimentale)
-------------------------------------------------------------------------------

From: Joe Leonard <jle@toyota.wavefun.com>

Chuck - can you use time-to-solution as a benchmark?  This lets you factor in
things like workstation clusters and parallel machines, etc, and dispenses with
individual timing on routines...

If you have a set of molecules you want to perform calculations on, can you use
the time it takes to carry out the calculations in various computing
enviromments.  This way, you can tune individual pieces of code however the
vendor suggests and get a consistent measure.

Might be full of it, but we use it here when measuring the efficiency of things
like conformational analysis when multi-machine enviromnents are used...

Joe

------------------------------------------------------------------------
Joe Leonard
Wavefunction Inc.
18401 Von Karman, Suite 370
Irvine, CA  92715                       I am a professional...
714-955-2120                                    do not attempt this at home.
714-955-2118 fax
jle@wavefun.com


From: "Timothy G. Mattson" <tgm@SSD.intel.com>

Chuck,

You want to use Wall time.  CPU time is a poor choice since it doesn't
always include time spent inside the OS on behalf of the benchmark.
For example, CPU time doesn't pick up time spent managing ethernet
conflicts.  

MFLOPS only works as a performance metric when you have a mathematical
definition of the operation counts.  For example, in counting flops,
how many flop's do you assign to a square root.  The actual count varries
from one machine to another making MFLOPS a non-uniform metric.

The only way to go is wall time.

In terms of portable parallel computing, you have many options. 
A popular choice is TCGMSG.  This is a small and easy to learn
message passing environment designed by and for chemists.  You
also could go with PVM or MPI.   If you want to learn more about
portable parallel programming environments, take a look at my
paper on the topic  which you can grab by anonymous ftp

   export.ssd.intel.com
   pub/tmp/mattson/ijsa.ps

This is a temporary location, so grab the paper right away if
you are interested.

--Tim


--------------------------------------------------------------------
Timothy G. Mattson, Ph.D. - Senior Scientist 

 Intel Supercomputer Systems Division  | Phone: (503) 677-5627
 Mail Stop CO1-15                      | FAX:   (503) 677-6324
 5200 N.E. ELAM Young Pkwy             | email: tgm@ssd.intel.com
 Hillsboro, OR 97124-6497

--------------------------------------------------------------------
  
From: ross@cgl.ucsf.EDU

Parallel machines typically dedicate nodes to a job, so
wallclock time is a 1st approximation, although traffic
between nodes from other jobs could have an impact.

The fortran cpu & wallclock time routines from Amber 
(along w/ the compiling system) are freely available
for use & redistribution, if you want a wrapper to
hide system dependencies. If you're interested, I'll
make up a package w/ the relevant stuff.

Bill Ross

[The package is at]

The package is in anon ftp on odin.ucsf.edu under amber/CompSys.tar.Z

Bill

From: Jeyapandian Kottalam <kottalam@appsdiv.cray.com>

On all Cray platforms we use wallclock times (call secondr or rtf).

On vector-parallel platform (traditional ymp type) wallclock times
are meaningful only when the machine is dedicated for the benchmark
job.  This is indeed how we run benchmarks, i.e., by taking the machine
down and bringing it up accesible only to selected users.

On massively parallel system (Cray T3D) the benchmarking job can
run during batch time to get a pretty good measurement.  This is
because when a job starts running a certain number of processors
get dedicated to that job.  But the communication network is being
shared with other jobs and that can make the measurement slightly
inaccurate.

Kottalam                           Phone: (USA) 612 683 3622
Cray Research, Inc.

From: Matt Clark <matt@metis.tripos.com>

Regarding what measurement to use in a benchmark, I feel you should
measure what you are really interested in. Namely "how long does it take
to run", or wall clock time. If you use CPU time you would add up the
time for each individual CPU, and that isn't a very useful measure of the
performance increase of a parallel computer. Wall clock time takes into
account any paging/swapping/io that the program causes, which are 
important practical issues.

From: Peter Shenkin <shenkin@still3.chem.columbia.edu>

> From chemistry-request@ccl.net  Fri Jul 21 14:21:18 1995

> ...Most [responses] indicate that "wall clock" time
> is probably one of the better benchmarks.  The most common reason: it
> takes into account issues such as multipule processors, memory swapping,
> etc..  To eliminate factors such as other jobs and other users one
> indiviual mentioned that they make the machine unavailable to other users
> while the benchmark job is running.

I must disagree with this conclusion.  The problem is that benchmarks
run on different machines without kicking off the other users will
inevitably be run with different loadings on the different machines.  
If machine X appears faster than machine Y, you don't know whether 
it's because machine Y had 10 users running big jobs whereas X only 
had 2 users running big jobs when the benchmarks were run.  This can
dramatically effect things like swapping, which increases wall-clock
time greatly.

CPU time is still the best benchmark, IMHO.  It is sufficiently 
insensitive to loading to be able to be fairly run on a loaded machine.
Parallel code presents additional difficulties, admittedly, but
the sum of the CPU times does in fact tell you a lot, especially
when compared to the CPU time when the same job is run on a 
single processor.

	-P.

***************** Atheist:  An evangelical agnostic. *****************
*Peter S. Shenkin, Box 768 Havemeyer Hall, Chemistry, Columbia Univ.,*
*NY, NY  10027;  shenkin@columbia.edu;  (212)854-5143;  FAX: 678-9039*
********** World music:  What Bluegrass is to a Bulgarian. ***********

From: Swamy Kandadai <swamy@kgn.ibm.com>


Charlie:

The issues you are raising are valid and I am sure you will get several
answers. What we (in performance analysis) is really interested is in
finding out what machines best perform for a special application.
If the application is cpu intensive (eg. most molecular dynamics codes
assuming you don't save every coordinate and velocity at every step of
the molecular dynamics step),  then cpu  is an important characteristic
in a serial run. On the otherhand, if the application involves some
amount of I/O as you normally see in traditional scf calculations
(writing 2-e integrals and reading them at every iteration step to form
the Fock matrix), the elapsed time is important in addition to cpu
time since the ratio of elapsed to cpu will tell us the I/O bandwidth
on that particular machine.

In parallel applications, what we are interested is fast turn around time.
Everybody understands taht running parallel job on a loaded system is not
the best way to run a parallel job. In parallel applications, cpu time is
misleading since different cpu times indicates probalble bottelnecks in
load balancing. In message-passing applications, it will also tell about
how much time the application is spending on the messages to happen which
in turn will tell us about the bandwidth of the medium of transfer.

A single measure as cpu or the elapsed time is not going to be sufficient
and the application characteristics will dictate what to look for.

Thanks
Swamy Kandadai



From owner-chemistry@ccl.net  Fri Aug  4 11:16:24 1995
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From: states@rucola.WUStL.EDU (David J. States)
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Date: Fri, 4 Aug 1995 10:05:54 -0500
In-Reply-To: BILL WELSH <C1790@slvaxa.umsl.edu>
        "CCL:Question about Electrostatics in Molecular Mechanics" (Aug  3,  4:34pm)
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Subject: Re: CCL:Question about Electrostatics in Molecular Mechanics
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On Aug 3,  4:34pm, BILL WELSH wrote:
> Subject: CCL:Question about Electrostatics in Molecular Mechanics
>
> Dear Netters,
>
> Please help settle a small controversy.  For a particular molecular
> mechanics calculation, I derived partial atomic charges from bond
> dipole moment measurements made in nonpolar solvent.  I then ran
> molecular mechanics calculations using an in vacuo dielectric constant
> of 1.00.  A colleague argues that I must use a dielectric constant
> appropriate to the nonpolar solvent from which the charges were
> derived (e.g., 2-3)....

This is an old controversy.  Most of the dielectric in a nonpolar solvent is
due to electronic polarization that is not modeled by explicit molecular
reorientation in an MD run.  On the otherhand, it may well be incorporated
implicitly into the PE function.  In your example, the issue is how the bond
dipole moment determination was actually done.  Using charges from an
electronic structure calculation or experimental procedure that gave the
intrinsic molecular charge distribution, even if in a solvent cavity, to
calculate a Coulomb term in the a PE function would not implicitly include
solvent screening.  In such case, the electronic polarization dielectric would
need to be explicitly incorporated into the MD calculation.

For the first solvation shell, the continuum dielectric approximation
starts to breakdown.  The solute and a first shell solvent molecule can
be modeled as interacting in vacuo in a cavity surrounded by the continuum
dielectric. There is still significant screening, but it is less than the
continuum dielectric.  So if you really want to do the calculation correctly,
electronic polarization, in addition to molecular reorientation, must
be modeled explicitly.

If the data reduction from an experimental protocol actually resulted
in scaling the charges by the solvent dielectric used in the measurement, then
the MD calculation would actually have to multiply by the dielectric:

	Qi' = Qi/eps
	Qj' = Qj/eps
	Eele = eps*(Qi')*(Qj')/Rij
	     = Qi*Qj/(Rij*eps)

Dipole energy follows same scaling.

David

-- 
David J. States
Institute for Biomedical Computing / Washington University in St. Louis

From owner-chemistry@ccl.net  Fri Aug  4 12:16:32 1995
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Date: Fri, 04 Aug 1995 12:17:03 -0400
From: nauss@ucmod2.che.uc.EDU (Jeffrey L. Nauss)
Subject: Re:  CCL:Question about Electrostatics in Molecular Mechanics
To: CHEMISTRY@ccl.net
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>From: states@rucola.WUStL.EDU (David J. States)
 
>For the first solvation shell, the continuum dielectric approximation
>starts to breakdown.  The solute and a first shell solvent molecule can
>be modeled as interacting in vacuo in a cavity surrounded by the continuum
>dielectric. There is still significant screening, but it is less than the
>continuum dielectric.  So if you really want to do the calculation correctly,
>electronic polarization, in addition to molecular reorientation, must
>be modeled explicitly.
 
The question of calculating electronic polarization explicitly may be
an important one in several situations.  In semi-empirical and ab
initio calculations, I believe polarization is handled explicitly.
(Correct me if I am wrong on this.) However, I am not familiar with
any empirical potential energy function that incorporates polarization
except for that developed in Wilma Olson's group for nucleic acids
(Srinivasan and Olson, J. Biomol. Struc. Dyn. (1987) vol 4, pp
895-938.)  They included in their non-bonded interactions an explicit
charge induced dipole effect between atoms:
 
Dij = 165.9 (delta(i)^2* alpha(j) + delta(j)^2 * alpha(i))
      ----------------------------------------------------
                           epsilon
 
where delta is the partial atomic charge, alpha is the atomic
polarizability, and epsilon is the dielectric constant.  This term
accounts for stacking interactions in nucleic acids.
 
I have never seen a similar term employed in any other forcefield and
have ofter wondered why.  Comments?
 
                                                Jeff Nauss
 
****************************************************************************
*  UU    UU             Jeffrey L. Nauss, PhD                              *
*  UU    UU             Director, Molecular Modeling Services              *
*  UU    UU             Department of Chemistry                            *
*  UU    UU CCCCCCC     University of Cincinnati                           *
*   UU  UU CCCCCCCC     Cincinnati, OH 45221-0172                          *
*    UUUU CC                                                               *
*         CC            Telephone: 513-556-0148    Fax: 513-556-9239       *
*         CC                                                               *
*          CCCCCCCC     e-mail: nauss@ucmod2.che.uc.edu                    *
*           CCCCCCC     http://www.che.uc.edu/~nauss                       *
****************************************************************************
 

From owner-chemistry@ccl.net  Fri Aug  4 12:46:22 1995
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Date: Fri, 04 Aug 1995 18:41:20 +0100
To: chemistry@ccl.net
From: pctw@sun.rz.tu-clausthal.de (Thomas Weber)
Subject: WINNMR data format?


Can anybody describe me the data format of the WINNMR program?

Thomas Weber

--
pctw@sun.rz.tu-clausthal.de


From owner-chemistry@ccl.net  Fri Aug  4 17:01:29 1995
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From: theochem@ctc.com (Douglas Smith)
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I have a DEC Alpha running OSF/1 version 1.3.  The graphics on this machine
are the Kubota Denali graphics, running KWS 1.3.4.

I wouldlike to upgrade my system to Digital UNIX (formerly OSF/1 v 3.2B).  Is
anyone aware of any problems this will cause me with my graphics system?  Do
I need to upgrade the KWS software as well (if that is even possible)? Has
anyone done this and can they offer any advice?

Please respond directly to me - I doubt this is of general interest to waste
any more bandwidth than I am doing now.

Doug
-- 

Douglas A. Smith, Ph.D., President
The DASGroup, Inc.
325 Beaver Court
Johnstown, PA 15905

voice:  (814) 255-6043
fax:    (814) 255-6487
email:  theochem@ctc.com

Disclaimer:  Whatever I say is my own fault.

From owner-chemistry@ccl.net  Fri Aug  4 17:16:29 1995
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Subject: HyperChem Workshops Announcement
To: chemistry@ccl.net
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Dear CCLers,

Hypercube, Inc. is pleased to announce that it is organizing a series of 
workshops on molecular modeling, computational chemistry, and the use 
of HyperChem,  ChemPlus and HyperNMR. It is offering a three-day 
introductory (HyperChem's GUI, Molecular Mechanics, Approximate and 
Semi-empirical MO methods, ab initio MO methods, Molecular 
Dynamics, Molecular Spectroscopy and an introduction to QSAR. The 
course will assume some basic knowledge of chemistry and a very 
moderate knowledge of PC computers and Microsoft Windows) and 
advanced (Molecular Modeling techniques, HyperChem's GUI - Advanced 
Features, QSAR and QSPR, Systems with Periodic Boundaries, Molecular 
Dynamics and Monte Carlo Methods, Thermodynamics and Kinetics,  
Script Commands and Customization, and linking HyperChem to other 
programs - Visual Basic and Excel) courses. 
Workshops on site are also available, as well as one-day courses on 
specific issues. Please contact Hypercube, Inc. (vuckovic@hyper.com) or 
HyperChem dealers for more details on workshops, or visit Hypercube's 
home page (URL: http://www.hyper.com).


___________________________________________________________________

Dr. Dragan Lj. Vuckovic               phone: (519) 725-4040 
International Marketing Manager         fax: (519) 725-5193
Hypercube, Inc.                      e-mail: vuckovic@hyper.com
419 Phillip Street                      URL: http://www.hyper.com
Waterloo, Ontario
Canada, N2L 3X2

From owner-chemistry@ccl.net  Fri Aug  4 17:46:32 1995
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Subject: Chicago computational chemistry club seminar
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August 4, 1995

Chicago Computational Chemistry Club (CCCC)

Dear CCCC participant,

The next seminar talk under the CCCC auspicies will be held on
Friday, the 18th August, 1995 at Searle R & D facilities, as outlined below.

Speaker :	Professor Terry P. Lybrand
		University of Washington
		Molecular Bioengineering Program

Title :		Strategies and Techniques for Membrane Protein Modeling

Venue :		Searle Research and Development,
		Conf. Rm. A-3B&C,
		4901 Searle Parkway,
		Skokie IL 60077.

Date :		AUGUST 18, 1995.

Pizza and soft drinks will be served from 6:30 - 7:30.

Participants in the 210th National ACS meeting who happen to be in Chicago
on the 18th August, are most welcome to attend the seminar.

Please give us a call or e-mail, if you can make it (shashi rao :708-982-4545,
e-mail : rao@ddix4.monsanto.com ; Charles Hutchins  :
hutchinsc@randb.abbott.com
(708)-937-4971). If you cannot attend, please call anyway to confirm or
change your address.


Hope to see you again soon.

Best wishes,


Shashi Rao

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


The Chicago Computational Chemistry Club

Presents

Professor Terry P. Lybrand
University of Washington
Molecular Bioengineering Program


"Strategies and Techniques for Membrane Protein Modeling"

Friday, the 18th August, 1995 at 7:30 p.m.

Abstract:
========


Integral membrane receptor proteins frequently
mediate signal transduction across cell membranes in both
bacteria and higher organisms.  As these receptors often
play a key role in regulation of important physiologic
processes, they can be attractive drug therapy
targers.  Detailed understanding
of the three-dimensional structures of these receptor
proteins would undoubtedly contribute greatly to a
general understanding of the molecular mechanisms of
signal transduction and facilitate structure-based
drug design efforts, but formidable technical challenges
prohibit the routine determination of high resolution
structures for most membrane proteins at present.  In
favorable cases, molecular modeling studies can be
coupled with appropriate biophysical experiments to
generate plausible 3D models for some membrane receptor
proteins.  Projects to generate 3D structures for several
bacterial and mammalian membrane receptor proteins will
be presented, and some modeling techniques and experimental
biophysical methods that have proven most useful in these
exercises will be discussed.


Directions :
===========

To get to Searle, exit on Dempster (East) from I-94 (Edens expressway).
Turn right (South) on Skokie Blvd (Rt. 41). After crossing the signal light
at Main street, turn right (West) into Searle parkway. The visitor
parking lot is on the north side of the road after crossing two railroad
tracks. Enter the building at the East end and check with the security guard
house. As earlier, one of us will lead the way to the seminar room. For any
questions on the directions, please call shashi rao @ 708-982-4545.




