From mbeck@oci.unizh.ch  Thu Aug  6 02:13:23 1998
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From: "Michael E. Beck" <mbeck@oci.unizh.ch>
To: computational chemistry mailing list <chemistry@www.ccl.net>
Subject: Re: CCL:Off-diagonal elements of the CI matrix
In-Reply-To: <9808051719.ZM19286@hathi.chem.pitt.edu>
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On Wed, 5 Aug 1998, Gustavo Moura wrote:

> Dear CCL readers,
> 	I am writing a program to do CI calculations on some conjugated
> molecules using semiempirical (PPP) parameters. Unfortunately, I am having
> problems to calculate the off-diagonal elements of the CI matrix. In their book
> Szabo e Ostlund show (tables 2.3 and 2.4) how to calculate these elements when
> the determinants are in maximum coincidence. I am looking for references where
> I
  Dear Sir,
  
maybe this not quite the answer you are expecting, but from your letter i
suspect that your program is in a very early stage of development. 

A very elegant way to set up the Hamiltonian in a basis of spin adapted
configurations (CCFs) is to use the graphical approach pioneered by Paldus
and Shavitt, GUGA. This approach also gives a very smooth way to construct
the configuration space. 

GUGA seems to be applied mainly in ab initio theory, but personally i
think it's very well suited for semiempirics, too. Once you have got used
to the graphs, you'll love them, promise.

Coming back to your question: In GUGA problems like "maximal coincidence" 
just do not arise. 

sincerly

Michael E. Beck

___________________________________________________________________
  Dr. Michael E. Beck                  |  privat:
  Organisch--Chemisches Institut       |  Zschokkestr. 12a
  Theoretische Gruppe, Prof. W. Thiel  |  CH--8037 Zuerich
  Universitaet Zuerich                 |  +41-1-271 54 39
  Winterthurerstr. 190                 |___________________________
  CH--8057 Zuerich                             
  Tel.: +41-1-635-6117                  web : www.unizh.ch/~mbeck
  Fax.:           6836                  mail: mbeck@unizh.ch 
___________________________________________________________________





From srk@engc.bu.edu  Thu Aug  6 10:58:19 1998
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From: "S. Roy Kimura" <srk@engc.bu.edu>
Message-Id: <199808061458.KAA10963@engc.bu.edu>
Subject: Summary: TINKER vs CHARMm
To: chemistry@www.ccl.net
Date: Thu, 6 Aug 1998 10:58:19 -0400 (EDT)
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Hello,

here is a summary of responses I received for my question I posted a
few weeks ago.  Thank you very much for all the advice and comments

Roy
-----
S. Roy Kimura
Molecular Engineering Research Laboratory
Department of Biomedical Engineering
Boston University
email: srk@bu.edu
phone: (617)353-4697

----------------------< original question >------------------------

Dear CCLers,

Recently, I have been thinking about using the TINKER package (by Jay
Ponder) rather than CHARMm since TINKER's source looks much easier to
modify. As a check, I decided to calculate the internal energy of a 9
residue peptide in vaccuum using both the CHARMm and TINKER
programs. However, I have been getting rather different energies even
though I used the same parameter sets and identical coordinates (for
TINKER, I used the charmm.prm file supplied with the TINKER
distribution which is supposed to be equivalent to CHARMm22
parameters).  Does anyone have any idea what the problem might be?

Roy


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

 Dear Dr. Kimura:

I recently tested TINKER on a simple MD simulation of liquid argon.
The calculated kinetic energy does not correspond to the temperature
of the simulation. There are no obvious reasons for the error in
the TINKER results).

Hubert

-------------------------------------------------------------------
Roy,

I've worked with a number of different force fields in different packages, so I
can offer a few suggestions.  However, since I have not worked with either
package, I cannot comment specifically.

1) Check to see that the forcefields are defined exactly the same.  The program
may say that it uses the same forcefield, but it could have been modified
slightly.  This happens all the time with peptides, because everyone is
interested in getting the best result.  (Ex. Improper torsional restraints may
be used in one program to hold the peptide bond flat, but this may not be the
case in the other program.)
2) Check to see that the parameters are compatible as is.  In other words, check
to make sure that they don't need to be divided by 2 or something simple like
that.  Also, some programs make you enter the non-bonded parameters as sigma,
epsilon, while others have you enter them a different way.  You said that you
used a compatible parameter set, but is it possible that it came from a
different version of the program?  Sometimes authors change these things while
they continue to improve their software. 
3) Try a simple case like ethane or butane.  If you are still getting different
values, then drop back to methane or similar without 1,4 interactions.
4) Check to see that dielectric constants, H-bond functions, and such are turned
on/off the same way in both programs.  Alos, the non-bonded cutoffs (if used)
should be defined and set to the same value in both programs.
5) Double precision vs. Single precision.  You said the coordinates were the
same, but do the packages both use double precision throughout?  This would only
account for very slight differences, but it is something to keep in mind.
6) I really hate to say this, but if all else fails, trust the package that has
been around the longest.


Good luck.  Trust me, I know how frustrating it came be to find these errors.

David Maxwell
Senior Scientist
Texas Biotechnology Corp.
7000 Fannin, Suite 1920
Houston, TX 77584
E-Mail: dmaxwell@tbc.com
Phone: (713) 796-8822 x102

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

 Dear Roy Kimura,

     I just returned from some time away from St. Louis and saw your
 post to CCL about "TINKER vs. CHARMm". I would be extremely interested
 in resolving (or at least rationalizing) the differences you are
 seeing between energies computed with our charmm.prm parameters and
 whatever CHARMm22 parameters you are using with "real" CHARMm.

     There are several possibilities. First, "charmm22" means different
 things to different people, MSI put out a version of charmm22 parameters,
 and Alex MacKerrell put out several versions over many years that were
 all loosely called "charmm22". The charmm.prm provided with TINKER is a
 translation to TINKER format of a version of charmm22 distributed with
 the related XPLOR package from Axel Brunger as of about mid-1994. At
 the time we compared energies from TINKER's charmm.prm with the
 corresponding XPLOR calculation, and got very close, but not "perfect"
 agreement for various polypeptide tests. The "official" paper on the
 protein parameters for charmm22 has just been published (J Phys Chem,
 102, 3586-3616, 1998). We certainly intend to update TINKER to this
 latest version of charmm22 and validate vs. the tests reported in this
 article, but we have not yet found time to do so. I would rather expect
 that the differences between the new "official" parameters and our
 older ones would be "small" (but not necessarily insignificant...).

     If you are instead getting "large" differences between TINKER and
 CHARMm, then the problem may lie elsewhere. Several people have caused
 themselves trouble by mixing parameter sets from one version of TINKER
 with source code and/or executables from another. This can lead to very
 odd results since we have frequently made changes to both parameter
 file formats and the code that are not "backward compatible". Regardless
 you should test with the most recent version of TINKER (currently 3.6).
 As a relatively new package, TINKER has undergone a large number of bug
 fixes as it has come into somewhat wider use. Also we have corrected
 mistranslations in our charmm.prm as they have cropped up (our charmm.prm
 was originally generated manually!). I know that some fairly early
 versions of TINKER were floating around BU Biomed. Engineering. Of course
 it is still possible that we have a "bug" in our implementation of the
 charmm function, but I tend to think we have things right at this point.

     Perhaps the best way to proceed, would be for you to send me the
 input and output files you are using for CHARMm (with as much detail
 as possible turned on for individual energy terms in the output). I'll
 take a look and see if I can't quickly find the origin of your trouble.
 Obviously, I'm very interested in seeing that TINKER reproduces charmm
 (and all the other force fields we support) as accurately as possible.

                                Jay Ponder

--------
Jay W. Ponder				Phone:	(314) 362-4195
Biochemistry, Box 8231         		Fax:	(314) 362-7183
Washington University Medical School
660 South Euclid Avenue			Email:	ponder@dasher.wustl.edu
St. Louis, Missouri 63110  USA		WWW:	http://dasher.wustl.edu/



-------------------------------------------------------------------
THIS IS MY RESPONSE TO DR. PONDER'S POST

Dear Professor Ponder,

Since I posted that message, I experimented with different "charmm22"
parameter sets, and found a set that gave charmm results very close to
those from TINKER -- that is the charmm22 parameters that I downloaded
from Axel Brunger's X-PLOR website (called top_all22_prot_b4.inp and
par_all22_prot_b4.inp).

In my initial test, I used the all atom "charmm22" parameters supplied
with MSI, which, according to some people, is known as charmm19
parameters, despite the fact that it says charmm22 in the beginning of
the file.

However, when I say very close, it means that it is much closer than
what I had been seeing when I used the MSI parameters -- but there are
some differences as you mentioned. Here are snippets from the outputs
of both programs:

 ......................................................................

 Total Potential Energy :              -40.4963 Kcal/mole

 Energy Component Breakdown :         Kcal/mole      Interactions

 Bond Stretching                        18.2026           135
 Angle Bending                          23.3052           244
 Urey-Bradley                            1.8769           112
 Improper Dihedral                       0.1833            17
 Torsional Angle                        46.8472           362
 1-4 van der Waals                      89.1869           346
 Other van der Waals                   -10.2909          7921
 Charge-Charge                        -209.8075          7787

 ......................................................................

ENER ENR:  Eval#     ENERgy      Delta-E         GRMS
ENER INTERN:          BONDs       ANGLes       UREY-b    DIHEdrals    IMPRopers
ENER EXTERN:        VDWaals         ELEC       HBONds          ASP         USER
 ----------       ---------    ---------    ---------    ---------    ---------
ENER>        0    -36.49659      0.00000     10.32686
ENER INTERN>       16.88385     26.02777      1.56513     38.97038      0.18396
ENER EXTERN>       91.72723   -211.85492      0.00000      0.00000      0.00000
 ----------       ---------    ---------    ---------    ---------    ---------

 ......................................................................

The above are the energy calculations from a single conformation of a
9 residue peptide 2VAB (PHE ALA PRO GLY ASN TYR PRO ALA LEU). In both
cases, I used the identical coordinates (same pdb file) which I
created using charmm after minimizing the crystal structure by 50
steps.  TINKER calculations were done with the latest version that I
just recently downloaded (ver 3.6). In the TINKER keyfile, I have set
the 1-4 scaling factor to 2.0 since that is what I understand charmm
does with 1-4 nonbonded interactions. It appears the largest
discrepancies lie in the torsional and Van der Waals energies (I
presume one adds your '1-4' and 'other VdW' to get the equivalent of
charmm's 'VDWaals'). Do you have any ideas as to why these
discrepancies exist? 



From rino@gpc.ibc.wustl.edu  Thu Aug  6 11:33:32 1998
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From: Rino Ragno <rino@gpc.ibc.wustl.edu>
Subject: GAMESS -> TURBOMOLE



Hi to everyone,

I am looking for a preogramm to convert the gamess output file into
turbomole format.

Is out there anyone that can help in this?

Thanks in advance.

Ciao

-- Rino Ragno

++----------------------------------------------------------------------++
++----------------------------------------------------------------------++
||                                                                      ||
||  Dr. Rino Ragno                      E-mail: ragno@uniroma1.it       ||
||  Institute for Biomedical Computing      or: rino@gpc.wustl.edu      ||
||  Center for Molecular Design             or: ragno@axcasp.caspur.it  ||
||  Box8036, Washington University      Phone : 314-362-2272            ||
||  700 South Euclid Avenue             FAX   : 314-362-0234            ||
||  St. Louis, Missouri 63110                                           ||
||  U. S. A.                                                            ||
||                                                                      ||
||       WEB PAGE   : www.ibc.wustl.edu/cmd/people/rino/rino.html       ||
||                                                                      ||
++----------------------------------------------------------------------++
++----------------------------------------------------------------------++




From haney@netcom.com  Thu Aug  6 19:11:18 1998
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From: "Dr. David N. Haney" <haney@netcom.com>
Message-Id: <199808062311.QAA20851@netcom15.netcom.com>
Subject: Software for Hydrophobicity, Indices, 3D Lattice
To: CHEMISTRY@www.ccl.net
Date: Thu, 6 Aug 1998 16:11:17 -0700 (PDT)
Reply-To: haney@hbond.com
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eduSoft, LC provides unique computational chemistry functionality interfaced
to standard molecular modeling packages (Insight, Sybyl, Chem-X).  HINT
is a standard in logP and hydrophobicity and hydropathic interactions
evaluation.  Molconn-Z is a standard for generating molecular indices used for
QSAR.  A new program HASL, will become available shortly that offers unique 3D
lattice functionality for QSAR problems.

HINT ###################
-calculates logP and graphs 3D hydrophobicity: useful in drug database screens
-constructs complementary maps of hydrophobicity: useful to refine drug design
-contains functionality for scoring and visualizing ligand/inhibitor docking
-calculates errors in PBD structures and predicts stability of mutants

Molconn-Z ##############
-calculates molecular connectivity, shape, e-state, and information indices
-environment allows data to be used with PLS, component and other analyses
-useful for similarity analysis in database searching

HASL ###################
-deconvolutes complex 3D problem by assigning values to a 3D lattice
-used in 3D QSAR for DHFR, glutamine syntase, HIV protease
-useful in analysing experimental data and predicting results of new drugs

For more information please contact me, Dr. David N. Haney, at haney@hbond.com,
or take a look at the web site ####  http://www.eslc.vabiotech.com/ ####

-- 
    **************  David N. Haney, Ph.D.    ********************
    *  Haney Associates               Phone - 206-232-1401      *
    *  4212 93rd Ave SE                 FAX - 206-236-5268      *
    *  Mercer Island, WA 98040        Email - haney@hbond.com   *
    *                                                           *
    **************  http://www.hbond.com/    ********************


From adam@cherwell.com  Fri Aug  7 10:59:28 1998
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Date: Fri, 07 Aug 1998 15:59:10 +0100
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From: Adam Hodgkin <adam@cherwell.com>
Subject: Ideas for using a Chemistry Whiteboard
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Dear Internet Chemist,

ChemWeb asked Cherwell Scientific to give a virtual lecture on JavaBeans
for Chemistry which is now on the ChemWeb site. See extract from their
announcement, below.

The most interesting thing about this lecture was the Chemistry Whiteboard
which VEI had put together from the ChemSymphony Beans (VEI specialise in
organising electronic conferences and manage the lecture series). We think
they have some cool ideas about how to use Beans interactively.

Take a look at it if you want to get a 'feel' for what a Java chemistry
Whiteboard can do. Once you have looked at it, you may want to ask a
colleague to join you in a sketching session at the Virtual Whiteboard.

Using the Whiteboard leads to speculation about possible developments. If
you have ideas about specific 'must have' applications for a chemistry
WhiteBoard reply direct to me or to this list. We offer a Magnum of
champagne (or equivalent present) to the best idea submitted and I will
produce a summary of replies received for the list.

> ChemSymphony Beans Demonstration Open
>
>The ChemSymphony whiteboard is now accessible to all ChemWeb 7 registrants
>in the auditorium at http://chemweb.vei.co.uk.  This demo allows you to
>create and modify a structure in real time, and display it to other
>delegates who are logged in.  To use the demo, you must have either
>Internet Explorer 4 or the Java plugin (Win 95/NT/Solaris) with Netscape 3
>or 4.  For information about the Java plugin, see
http://java.sun.com/products/plugin/index.html.

Best wishes

Adam

---                                                                       ---
     Adam Hodgkin                    |  e-mail:  adam@cherwell.com
     Chairman                        |  Phone:   +44 (0)1865 784810
     Cherwell Scientific Publishing  |  Fax:     +44 (0)1865 784801
     Oxford OX4 4GA, UK              |  URL:     http://www.cherwell.com
---                                                                       ---




From ihtrap@hotmail.com  Fri Aug  7 17:57:40 1998
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From: "Artiben Taylor" <ihtrap@hotmail.com>
To: chemistry@www.ccl.net
Subject: permittivity
Content-Type: text/plain
Date: Fri, 07 Aug 1998 14:57:11 PDT




CCLers:

In the expression for Coulombic potential

                   e^2
     V(r) = -  -----------
              4  pi  Eo  r
where Eo the permittivity of free space; e charge; r distance between
electron and proton. Could someone enlighten me the significance
of permittivity, what actually it means and why does the coulombic
potential decreases with the increase in permittivity.
Thanks
Artiben


______________________________________________________
Get Your Private, Free Email at http://www.hotmail.com


From plyne@bellatrix.pcl.ox.ac.uk  Sat Aug  8 09:31:27 1998
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Date: Sat, 8 Aug 1998 14:12:29 +0100 (BST)
From: Paul Lyne <plyne@bellatrix.pcl.ox.ac.uk>
Sender: plyne@bellatrix.pcl.ox.ac.uk
To: chemistry@www.ccl.net
Subject: g94 and alphas
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Hi 

I am trying to get g94 to run on an alpha that has RedHat Linux as the
operating system. Has anyone managed to compile this with the gnu compiler
OR compiled it on a DEC machine and got the executable to run on an alpha
using linux.

Thanks for your help.

Paul

---------------------------------------------------------------------------
Dr. Paul D. Lyne
Department of Chemistry                        Tel:    +44 1865 275932
New Chemistry Laboratory                       Fax:    +44 1865 275905
South Parks Road                               
Oxford, OX1 3QT                                paul.lyne@chem.ox.ac.uk   
United Kingdom                                 
---------------------------------------------------------------------------



From tapas@risky3.thchem.siu.edu  Mon Aug 10 13:20:48 1998
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Date: Mon, 10 Aug 1998 12:26:26 -0500 (CDT)
From: Tapas Kar <tapas@risky3.thchem.siu.edu>
To: "Comp. Chem. List" <chemistry@www.ccl.net>
Subject: Problem with O3 freq.
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Hi everybody,

Here is the expt vib. frequencies of O3
  705  1110  and  1042  ( Ref. Herzberg )
Theoretical values are (output of mp2(full)/6-31+G*)
                    A1                     A1                     B2
 Frequencies --   725.8632              1162.4426              2391.7224
 Red. masses --    15.9949                15.9949                15.9949
 Frc consts  --     4.9653                12.7343                53.9081
 IR Inten    --     6.5303                 2.4236              1635.3846

In fact we tried with other basis sets like 4-31G, 6-311G* at MP2 level
and
the values are close to the above values.
Clearly 2391 (B2 mode) is too high. what is the problem here.
Tapas
~


--------------------------------------------
Tapas Kar, Ph. D                           
Asst. Scientist/Asst. Professor (Adjunct)                            
Forestry Bldg 118
Department of Chemistry
Southern Illinois University at Carbondale
Illinois 62901-4409

Fax: (618) 453 6408
Tel: (618) 453 6433(Lab) 6485(Office)
--------------------------------------------     


From dspellmeyer@combichem.com  Mon Aug 10 15:48:39 1998
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Subject: Call for Papers - Anaheim ACS
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Second and Final Announcement

SYMPOSIUM ANNOUNCEMENT AND CALL FOR PAPERS

Applications of Computers in Combinatorial Chemistry

to be held at the American Chemical Society Meeting in Anaheim, CA
March 21-25, 1999

Sponsored by the Division of Computers in Chemistry

This symposium will cover all aspects of computational chemistry
applied to the field of molecular diversity and combinatorial
chemistry.  This includes design and analysis of combinatorial
libraries, design of conformationally constrained libraries,
computational measures of diversity, information-based libraries,
coverage-based libraries, and others.  New algorithms and 
applications of existing algorithms are welcome.

The due date for 150 word abstracts is November 18, 1998.  For
planning purposes, however, please let me know if you plan to submit
an abstract no later than August 15, 1998.

David Spellmeyer
CombiChem, Inc. 
1804 Embarcadero Road, Suite 201
Palo Alto, CA 94306
(650)-842-0560 ext. 105
(650)-842-0575 FAX
dspellmeyer@combichem.com
http://www.combichem.com

From r40757@email.mot.com  Mon Aug 10 22:02:53 1998
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Date: Mon, 10 Aug 1998 19:09:17 -0700
From: Anatoli Korkin <r40757@email.mot.com>
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        Rod Bartlett <bartlett@qtp.ufl.edu>, watts@qtp.ufl.edu
Subject: Re: CCL:Problem with O3 freq.
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Tapas,

The problem is that for highly correlated systems like O3, for example,
MP2 (or MBPT[2]) is not "the word from Bible". You need to apply coupled
cluster (see Watts & Stanton  & Bartlett, CPL, 1991, 178, p. 471) or
multi-reference methods to get correct results. To find out when you
may get "a trouble" look at LUMO energy, and if it is negative the
system
is highly correlated. You may also see that your IR intensity is 
unrealistically high, which shows that perturbation theory is not
working "properly".

Chemical systems, which are "under suspition" for
high correlation effects are:

1) electron rich systems;
2) transition states;
3) system with "unusual" coordination numbers;
4) unique Lewis structure can not be drawn;
5) condensed multiple bonds;
6) radicals and biradicals.

Of course, many systems fall into a few categories.

Anatoli

P.S. B3LYP is not so bad after all in this case even it is about
or even faster than MP2. At least you get them in a right order
(B3LYP/6-31+G*):

                   A1                     B2                     A1
 Frequencies --   733.1291              1220.1424              1257.5397
 Red. masses --    15.9949                15.9949                15.9949
 Frc consts  --     5.0652                14.0299                14.9031
 IR Inten    --     6.3178               232.6091                  .0020
 Raman Activ --      .0000                  .0000                  .0000
 Depolar     --      .0000                  .0000                  .0000


With CCSD (which is more expensive) you get 748, 1240 and 1256 (Stanton
et al, JCP, 1989, 90, p. 1077.


Regards,

Anatoli


Tapas Kar wrote:
> 
> Hi everybody,
> 
> Here is the expt vib. frequencies of O3
>   705  1110  and  1042  ( Ref. Herzberg )
> Theoretical values are (output of mp2(full)/6-31+G*)
>                     A1                     A1                     B2
>  Frequencies --   725.8632              1162.4426              2391.7224
>  Red. masses --    15.9949                15.9949                15.9949
>  Frc consts  --     4.9653                12.7343                53.9081
>  IR Inten    --     6.5303                 2.4236              1635.3846
> 
> In fact we tried with other basis sets like 4-31G, 6-311G* at MP2 level
> and
> the values are close to the above values.
> Clearly 2391 (B2 mode) is too high. what is the problem here.
> Tapas
> ~
> 
> --------------------------------------------
> Tapas Kar, Ph. D
> Asst. Scientist/Asst. Professor (Adjunct)
> Forestry Bldg 118
> Department of Chemistry
> Southern Illinois University at Carbondale
> Illinois 62901-4409
> 
> Fax: (618) 453 6408
> Tel: (618) 453 6433(Lab) 6485(Office)
> --------------------------------------------
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