From chemistry-request@server.ccl.net  Mon Mar 13 04:02:11 2000
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From: "Charlton, Michael" <mcharlto@oai.co.uk>
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Subject: DFT on mips processors
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Hi,
does anyone have any idea of the relative performance of R10k (180MHz) vs
R12k (300MHz) for DFT calculations ?

Thanks,

Michael Charlton.
mcharlton@oai.co.uk

From chemistry-request@server.ccl.net  Mon Mar 13 06:35:49 2000
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From: "Pascal Bonnet" <pascal@qorws1.uab.es>
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Date: Mon, 13 Mar 2000 12:35:42 -0800
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Hi,

Could anyone give me the Pd parameters for a Molecular Mechanics study (MM3)
or/and for a Semi empirical study (AM1)? or where can I find them in the web?

The molecule has two N-R2 coordinated to PdCl2.

Thanks in advance.

-- 
********************************************************************************
Pascal Bonnet 	pascal@qorws1.uab.es

Unitat Quimica Organica   and	   Institut de Chimie Organique et Analytique
Facultat de Ciences 		   UFR Sciences - UPRES-A 6005
Universitat Autonoma de Barcelona  Rue de Chartres - BP 6759
08193 Bellaterra (SPAIN)	   45067 ORLEANS CEDEX 2 - France		   
Tel: 34935811266		   Tel: 0238494577  	    
Fax: 34935811265
********************************************************************************

From chemistry-request@server.ccl.net  Mon Mar 13 07:30:54 2000
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Hi,
I would like to resign from the CCL. Please arrange that I will not get
any longer any kind of e-mails from the CCL.

Thanks in advance

Thomas Mehnert


From chemistry-request@server.ccl.net  Mon Mar 13 09:30:27 2000
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Date: Mon, 13 Mar 2000 09:29:09 -0500
From: "Shobe, Dave" <dshobe@sud-chemieinc.com>
Subject: Re: CCL:pgplot for Salford FTN95
To: "'CCL'" <chemistry@ccl.net>
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 <157A51F55AAAD3119CD70008C7B1629D03E421@lvlxch01.unitedcatalysts.com>
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More on my problems with pgplot and Salford FTN95:

The two files that give errors are grdos.f and w9driv.f.  According to the
comments in the program, MSFLIB is a graphics library.  Salford has a
"run-time library" but there don't seem to be any graphics routines in it.

--David Shobe


From chemistry-request@server.ccl.net  Mon Mar 13 10:57:27 2000
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Hi,

I am thinking about adding gradient corrections to a density functional
code that works with numerical atomic type orbitals. Given that there are
a number of functionals in the literature, I would welcome suggestions of
where to start. Note that I cannot include any exact exchange since it is
too expensive to evaluate the integrals with numerical orbitals.

In particular, questions that come to mind are:

1) Is exchange better described by gradient corrections than correlation
   (i.e. would implementing just Becke exchange be a worthwhile move)?

2) Is the correct choice of functional very problem dependent? Is there
   one choice that gives better *overall* results than the others?

3) Are there other methodologies for improving on LDA besides gradient
   corrections? If so, what (dis)advantages do they have?

Cheers,

Andrew

  +----------------------------------------------------+
   Andrew Horsfield       e-mail: horsfield@fecit.co.uk 
     FECIT, 2 Longwalk Road, Stockley Park, Uxbridge,   
          Middlesex UB11 1AB, United Kingdom.           
   phone: +44-(0)181-606-4653  FAX: +44-(0)181-606-4422 
  +----------------------------------------------------+



From chemistry-request@server.ccl.net  Mon Mar 13 11:02:37 2000
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Date: Mon, 13 Mar 2000 11:01:08 -0500 (EST)
From: Omar Stradella <omar@sgi.com>
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Reply-To: Omar Stradella <omar@hudson.sgi.com>
To: Wang Xiaogang <wangx@MAGELLAN.UMontreal.CA>
cc: ccl <chemistry@ccl.net>, Omar Stradella <omar@hudson.sgi.com>
Subject: Re: CCL:large array, fortran 90, SGI compiler
In-Reply-To: <Pine.SGI.4.05.10003101358110.436166-100000@esi21.ESI.UMontreal.CA>
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On Fri, 10 Mar 2000, Wang Xiaogang wrote:

> Dear CCLers,
> 
>  The question is about how to handle large array in fortran 90.
>  
>  An example:
>  
>  program
>  real*8 a(10000,10000)  ! an 800MB array
>  common /test/a
>  end
> 
>  However on one SGI origin2000, MIPSpro Fortran 90 Version 7.3,
> the compiling fails.
> 
>  On another SGI origin2000, Ragnarok Compilers: Version 6.2,
> the compiling passes.
>  It also passes on DEC Alpha with Digital f90 compiler.
> 
>  It seems that the SGI f90 compiler (version 7.3) puts the common block
> data to the stack segment instead of data segment. The error message
> is 'exceeds 268,435,455 bytes, the maximum storage size available'
> 
> Any hints? Thanks.
> 
> Xiaogang

Xiaogang,

This is not related to stack vs data segment allocation. All common blocks
are allocated in the data segment. The problem here is a limitation in
the current f90 to statically allocate any array that exceeds 256 MB when
you compile with -n32. The workarounds are to compile with -64 if 
possible (i.e. you are not planning to run on 32-bit kernels) or to 
use dynamic allocation. The 6.2 f90 didn't have that problem because it 
was a different compiler.

Omar.
+---------------------------------------------------------------------+
Omar G. Stradella, Ph.D.                    
SGI / Chemistry and Biology Applications Group
1 Cabot Rd, Suite 250, Hudson, MA 01749, USA    N 42 22'40" W 71 33'44"
E-mail: omar@sgi.com        Phone: +1-781-839-2258 FAX: +1-978-562-7450 
http://www.sgi.com/chembio                  http://reality.sgi.com/omar 
+--------  Ph-nglui mglw'nafh Cthulhu R'lyeh wgah'nagl fhtagn  -------+



From chemistry-request@server.ccl.net  Mon Mar 13 11:10:37 2000
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Date: Mon, 13 Mar 2000 08:06:54 -0800
To: "Risser, Steven M" <rissers@BATTELLE.ORG>
From: David Gallagher <dgallagher@fujitsu.com>
Subject: Re: Solid state themodynamics
Cc: "'CHEMISTRY@ccl.net'" <CHEMISTRY@ccl.net>
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 ttelle.org>
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Steve,

The latest version of MOPAC 2000 has 3D periodic boundary conditions for
handling solids. The author, Jimmy Stewart, has reported comparable
accuracies to PM3 in the gas phase when calculating thermodynamic
properties of solids during his limited testing to date. MOPAC 2000 also
has d-orbital parameters for some transition metals. There is more
information in the MOPAC 2000 User manual on-line at
http://www.schrodinger.com/mopac2.html

Hope this helps,

David Gallagher
Fujitsu

At 08:15 AM 1/5/00 -0500, Risser, Steven M wrote:
>Hi all,
>
>I am interested in calculating the tyhermodynamic properties (particularly
>heat capacity) of a solid.  I would appreciate any suggestions on methods,
>useful software, etc...  I am already familiar with the standard methods of
>deriving the molecular thermo properties from molecules, and was hoping for
>a similar approach for solids.
>
>Thanks in advance
>Steve
>
>
>******************************************************
>Dr. Steven M. Risser
>Principal Research Scientist
>Core Technology
>Battelle Memorial Institute
>rissers@battelle.org
>614-424-3715                    614-424-7479 (FAX)
>******************************************************
>
>
>-= This is automatically added to each message by mailing script =-
>CHEMISTRY@ccl.net -- To Everybody    |   CHEMISTRY-REQUEST@ccl.net -- To
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>MAILSERV@ccl.net -- HELP CHEMISTRY or HELP SEARCH
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>
>
>
>
>


From chemistry-request@server.ccl.net  Mon Mar 13 11:26:36 2000
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From: yu@wavefun.com
Date: Mon, 13 Mar 2000 08:33:22 -0800
Message-Id: <10003130833.ZM1937@wavefun.com
 >
In-Reply-To: "Pascal Bonnet" <pascal@qorws1.uab.es>
        "CCL:Pd parameters" (Mar 13, 12:35pm)
References: <10003131235.ZM14425@qorws1.uab.es>
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To: "Pascal Bonnet" <pascal@qorws1.uab.es>
Subject: Re: CCL:Pd parameters
Cc: CHEMISTRY@ccl.net
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On Mar 13, 12:35pm, Pascal Bonnet wrote:
> Subject: CCL:Pd parameters
> Hi,
>
> Could anyone give me the Pd parameters for a Molecular Mechanics study (MM3)
> or/and for a Semi empirical study (AM1)? or where can I find them in the web?
>
> The molecule has two N-R2 coordinated to PdCl2.
>

Wavefunction has developed the PM3 parameters of Pd (and other 20 transition
metals). To just get the parameters, you can visit our FTP site. If you like to
use SPARTAN, Wavefunction's chemical modeling package, please contact

sales@wavefun.com

Jianguo Yu

-- 
+-----------------------+------------------+-------------------------+
|Jianguo Yu, Ph.D.      |  ______________  | E-Mail: yu@wavefun.com  |
|Computational Chemist  |  \  _________ /  | Phone:  (949)955-2120   |
|Wavefunction Inc.      |   \ \\\\\\\\/    | Fax:    (949)955-2118   |
|18401 Von Karman       |    \ \\\\\/      | "The doctrines observe  |
|Suite 370              |     \ \\/        |  nature"                |
|Irvine, CA 92612       |      \/          |   Lao-tzu (604-531 B.C.)| 
+----------------------http://www.wavefun.com------------------------+


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        owner-qsar_society@unil.ch
From: "Osman F. Guner" <osman@msi.com>
Subject: First book on Pharmacophores is out
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--=====================_8604898==_.ALT
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Content-Transfer-Encoding: quoted-printable

The book entitiled "Pharmacophore Perception, Development, and Use in Drug
Design" has been released .  It should appear in Barnes & Noble and Amazon
sites shortly.  Meanwhile you can contact the publisher for a copy at
info@iul-press.com=20

Below is the Table of Contents...

Preface O.F.G=FCner
Part I: The Origins of Pharmacophore Research
1. Evolution of the Pharmacophore Concept in Pharmaceutical Research P.Gund
Part II: Analog-Based Pharmacophores
2. Manual Pharmacophore Generation: Visual Pattern Recognition O.F.G=FCner
3. Pharmacophore Definition Using the Active Analog Approach D.D.Beusen,
G.R.Marshall
Automated Pharmacophore Development Systems
4. DISCO: What We Did Right and What We Missed Y.C.Martin
5. HipHop: Pharmacophores Based on Multiple Common-Feature Alignments
O.A.Clement, A.T.Mehl
6. GASP: Genetic Algorithm Superposition Program G.Jones, P.Willett,=
 R.C.Glen
7. Exploring Pharmacophores with Chem-X S.J.Cato
Predictive Model Development - 3D QSAR
8. Apex-3D: Activity Prediction Expert System with 3D QSAR E.R.Vorpagel,
V.E.Golander
9. Pharmacophore Models and Comparative Molecular Field Analysis (CoMFA)
R.D.Clark, J.M.Leonard, A.Strizhev=20
10. HypoGen: An Automated System for Generating Predictive 3D  Pharmacophore
Models H.Li, J.M.Sutter, R.Hoffmann
Applications in Drug Design
11. Metric for Analyzing Hit Lists and Pharmacophores O.F.G=FCner, D.R.Henry
12. Strategies in Database Mining and Pharmacophore Development O.F.G=FCner,
M.Waldman, R.Hoffmann, J-H.Kim
13. Pharmacophore Modeling by Automated Methods: Possibilities and=
 Limitations
M.Langg=E5rd, B.Bj=F8rnholm, K.Gundertofte
14. Database Mining Using Pharmacophore Models to Discover Novel Structural
Prototypes J.J.Kaminski, D.F.Rane, M.L.Rothofsky
15. Predicting Drug-Drug Interactions in Silico using Pharmacophores: A
Paradigm
for the Next Millenium S.Ekins, B.J.Ring, G.Bravi, J.H.Wikel, S.A.Wrighton=
=20
16. Feature-Based Pharmacophores: Applications to Some Biological Systems
R.Hoffmann, H.Li, T.Langer
17. The Design and Pharmacophore Definition of Retinoid-X-Receptor Specific
Ligands S.K.White
Part III: Receptor-Based Pharmacophores
18. Receptor-based Pharmacophore Perception and Modeling C.M.Venkatachalam,
P.Kirchhoff, M.Waldman
19. Pharmacophore-Based Molecular Docking B.E.ThomasIV, D.Joseph-McCarthy,
J.C.Alvarez
Applications in Drug Design
20. The Use of Multiple Excluded Volumes Derived from X-Ray Crystallographic
Structures in 3D Database Searching and 3D-QSAR M.Gillner, P.Greenidge
21. Docking-Derived Pharmacophores from Models of Receptor-Ligand Complexes
R.Griffith, J.B.Bremner, B.Coban
22. Technique for Developing a Pharmacophore Model That Accommodates=
 Inherent
Protein Flexibility: An Application to HIV-1 Integrase K.M.Masukawa,
H.A.Carlson, J.A.McCammon
Part IV: New Algorithms in Pharmacophore Development
23. Pharmacophores Derived from the 3D Substructure Perception S.Handshuh,
J.Gasteiger
24. The Electron-Conformational Method of Identification of Pharmacophore=
 and
Anti-Pharmacophore Shielding I.B.Bersuker, S.Bahceci,  J.E.Boggs
25. Development and Optimization of Property-Based Pharmacophores=
 A.G.Ozkabak,
M.A.Miller, D.R.Henry, O.F.G=FCner
26. Effect of Variable Weights and Tolerances on Predictive Model Generation
J.M.Sutter, O.F.G=FCner, R.Hoffmann, M.Waldman
Part V: The Future of Pharmacophore Research
27. Future Directions in Pharmacophore Discovery J.H.VanDrie

---
Osman F. G=FCner, Ph.D.
Director,  Lead Identification & Optimization
Molecular Simulations Inc.   (858) 799-5341
osman@msi.com        http://www.msi.com=20
--=====================_8604898==_.ALT
Content-Type: text/html; charset="iso-8859-1"
Content-Transfer-Encoding: quoted-printable

<html>
The book entitiled &quot;Pharmacophore Perception, Development, and Use
in Drug Design&quot; has been released .&nbsp; It should appear in Barnes
&amp; Noble and Amazon sites shortly.&nbsp; Meanwhile you can contact the
publisher for a copy at info@iul-press.com <br>
<br>
Below is the Table of Contents...<br>
<br>
<font size=3D1 color=3D"#000080">Preface
<font size=3D1 color=3D"#000080"><i>O.F.G=FCner<br>
</i><font size=3D1 color=3D"#000080"><b>Part I: The Origins of Pharmacophore
Research<br>
</b><font size=3D1 color=3D"#000080">1. Evolution of the Pharmacophore
Concept in Pharmaceutical Research
<font size=3D1 color=3D"#000080"><i>P.Gund<br>
</i><font size=3D1 color=3D"#000080"><b>Part II: Analog-Based
Pharmacophores<br>
</b><font size=3D1 color=3D"#000080">2. Manual Pharmacophore Generation:
Visual Pattern Recognition=20
<font size=3D1 color=3D"#000080"><i>O.F.G=FCner<br>
</i><font size=3D1 color=3D"#000080">3. Pharmacophore Definition Using the
Active Analog Approach <font size=3D1 color=3D"#000080"><i>D.D.Beusen,
G.R.Marshall<br>
<font size=3D1 color=3D"#000080"><b>Automated Pharmacophore Development
Systems<br>
</b></i><font size=3D1 color=3D"#000080">4. DISCO: What We Did Right and Wha=
t
We Missed <font size=3D1 color=3D"#000080"><i>Y.C.Martin<br>
</i><font size=3D1 color=3D"#000080">5. HipHop: Pharmacophores Based on
Multiple Common-Feature Alignments
<font size=3D1 color=3D"#000080"><i>O.A.Clement, A.T.Mehl<br>
</i><font size=3D1 color=3D"#000080">6. GASP: Genetic Algorithm Superpositio=
n
Program <font size=3D1 color=3D"#000080"><i>G.Jones, P.Willett,=20
R.C.Glen<br>
</i><font size=3D1 color=3D"#000080">7. Exploring Pharmacophores with Chem-X
<font size=3D1 color=3D"#000080"><i>S.J.Cato<br>
<font size=3D1 color=3D"#000080"><b>Predictive Model Development - 3D
QSAR<br>
</b></i><font size=3D1 color=3D"#000080">8. Apex-3D: Activity Prediction
Expert System with 3D QSAR <font size=3D1 color=3D"#000080"><i>E.R.Vorpagel,
V.E.Golander<br>
</i><font size=3D1 color=3D"#000080">9. Pharmacophore Models and Comparative
Molecular Field Analysis (CoMFA)
<font size=3D1 color=3D"#000080"><i>R.D.Clark, J.M.Leonard, A.Strizhev <br>
</i><font size=3D1 color=3D"#000080">10. HypoGen: An Automated System for
Generating Predictive 3D&nbsp; Pharmacophore Models
<font size=3D1 color=3D"#000080"><i>H.Li, J.M.Sutter, R.Hoffmann<br>
<font size=3D1 color=3D"#000080"><b>Applications in Drug Design<br>
</b></i><font size=3D1 color=3D"#000080">11. Metric for Analyzing Hit Lists
and Pharmacophores <font size=3D1 color=3D"#000080"><i>O.F.G=FCner,
D.R.Henry<br>
</i><font size=3D1 color=3D"#000080">12. Strategies in Database Mining and
Pharmacophore Development <font size=3D1 color=3D"#000080"><i>O.F.G=FCner,
M.Waldman</i><font size=3D1 color=3D"#000080">,
<font size=3D1 color=3D"#000080"><i>R.Hoffmann, J-H.Kim<br>
</i><font size=3D1 color=3D"#000080">13. Pharmacophore Modeling by Automated
Methods: Possibilities and Limitations
<font size=3D1 color=3D"#000080"><i>M.Langg=E5rd, B.Bj=F8rnholm,
K.Gundertofte<br>
</font></i><font face=3D"Times New Roman, Times" size=3D1 color=3D"#000080">=
14.
Database Mining Using Pharmacophore Models to Discover Novel Structural
Prototypes <font size=3D1 color=3D"#000080"><i>J.J.Kaminski, D.F.Rane,
M.L.Rothofsky<br>
</font></i><font face=3D"Juice ITC" size=3D1 color=3D"#000080">15. Predictin=
g
Drug-Drug Interactions <font size=3D1 color=3D"#000080"><i>in
Silico</i><font size=3D1 color=3D"#000080"> using Pharmacophores: A Paradigm
for the Next Millenium <font size=3D1 color=3D"#000080"><i>S.Ekins, B.J.Ring=
,
G.Bravi, J.H.Wikel, S.A.Wrighton</i><font size=3D1 color=3D"#000080"> <br>
16. Feature-Based Pharmacophores: Applications to Some Biological Systems
<font size=3D1 color=3D"#000080"><i>R.Hoffmann, H.Li, T.Langer<br>
</i><font size=3D1 color=3D"#000080">17. The Design and Pharmacophore
Definition of Retinoid-X-Receptor Specific Ligands
<font size=3D1 color=3D"#000080"><i>S.K.White<br>
</font></i><font size=3D1 color=3D"#000080"><b>Part III: Receptor-Based
Pharmacophores<br>
</b><font size=3D1 color=3D"#000080">18. Receptor-based Pharmacophore
Perception and Modeling
<font size=3D1 color=3D"#000080"><i>C.M.Venkatachalam, P.Kirchhoff,
M.Waldman<br>
</i><font size=3D1 color=3D"#000080">19. Pharmacophore-Based Molecular
Docking <font size=3D1 color=3D"#000080"><i>B.E.ThomasIV, D.Joseph-McCarthy,
J.C.Alvarez<br>
<font size=3D1 color=3D"#000080"><b>Applications in Drug Design<br>
</b></i><font size=3D1 color=3D"#000080">20. The Use of Multiple Excluded
Volumes Derived from X-Ray Crystallographic Structures in 3D Database
Searching and 3D-QSAR <font size=3D1 color=3D"#000080"><i>M.Gillner,
P.Greenidge<br>
</i><font size=3D1 color=3D"#000080">21. Docking-Derived Pharmacophores from
Models of Receptor-Ligand Complexes
<font size=3D1 color=3D"#000080"><i>R.Griffith, J.B.Bremner, B.Coban<br>
</i><font size=3D1 color=3D"#000080">22. Technique for Developing a
Pharmacophore Model That Accommodates Inherent Protein Flexibility: An
Application to HIV-1 Integrase
<font size=3D1 color=3D"#000080"><i>K.M.Masukawa, H.A.Carlson,
J.A.McCammon<br>
</i><font size=3D1 color=3D"#000080"><b>Part IV: New Algorithms in
Pharmacophore Development<br>
</b><font size=3D1 color=3D"#000080">23. Pharmacophores Derived from the 3D
Substructure Perception <font size=3D1 color=3D"#000080"><i>S.Handshuh,
J.Gasteiger<br>
</i><font size=3D1 color=3D"#000080">24. The Electron-Conformational Method
of Identification of Pharmacophore and Anti-Pharmacophore Shielding
<font size=3D1 color=3D"#000080"><i>I.B.Bersuker, S.Bahceci,&nbsp;
J.E.Boggs<br>
</i><font size=3D1 color=3D"#000080">25. Development and Optimization of
Property-Based Pharmacophores
<font size=3D1 color=3D"#000080"><i>A.G.Ozkabak, M.A.Miller, D.R.Henry,
O.F.G=FCner<br>
</i><font size=3D1 color=3D"#000080">26. Effect of Variable Weights and
Tolerances on Predictive Model Generation
<font size=3D1 color=3D"#000080"><i>J.M.Sutter, O.F.G=FCner, R.Hoffmann,
M.Waldman<br>
</i><font size=3D1 color=3D"#000080"><b>Part V: The Future of Pharmacophore
Research<br>
</b><font size=3D1 color=3D"#000080">27. Future Directions in Pharmacophore
Discovery <font size=3D1 color=3D"#000080"><i>J.H.VanDrie<br>
</font></i><br>
<div>---</div>
<div>Osman F. G&uuml;ner, Ph.D.</div>
<div>Director,&nbsp; Lead Identification &amp; Optimization</div>
<div>Molecular Simulations Inc.&nbsp;&nbsp; (858) 799-5341</div>
osman@msi.com&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
<a href=3D"http://www.msi.com/" EUDORA=3DAUTOURL>http://www.msi.com</a>
</html>

--=====================_8604898==_.ALT--



From chemistry-request@server.ccl.net  Mon Mar 13 11:38:18 2000
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Date: 13 Mar 2000 11:47:50 -0500
From: "Boyd" <boyd@chem.iupui.edu>
Subject: re: Pd parameters
To: "Bonnet, Pascal" <pascal@qorws1.uab.es>, "OSC CCL" <chemistry@ccl.net>
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Hi Pascal,
You can find references for molecular mechanics parameters for Pd in Ken
Lipkowitz's appendix to Vol. 14 of Reviews in Computational Chemistry.
Thanks, Don

Donald B. Boyd, Ph.D.
Editor, Reviews in Computational Chemistry
	http://chem.iupui.edu/rcc/rcc.html
Editor, Journal of Molecular Graphics and Modelling
	(publication of the ACS COMP division and MGMS)
	http://chem.iupui.edu/~boyd/jmgm.html
Department of Chemistry
Indiana University-Purdue University at Indianapolis
402 North Blackford Street
Indianapolis, Indiana 46202-3274, U.S.A.
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From chemistry-request@server.ccl.net  Mon Mar 13 14:19:31 2000
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Date: Mon, 13 Mar 2000 21:05:08 +0200
From: Mike Peleah <mike@mnc.md>
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+======================---------------- --- -- -  -   -     -        .
| Dear chemistry,
:
.


I calculate electronic spectrum and obtain results in such form (I use
INDO/1s implemetation in ArgusLab 1.0):
-----------------[ cut ]----------------------------------------------
  4 (  1)->(  4)    Energy                26939.9
                    State Dipole          1.6582   

                    Oscillator Strength
                      length              0.0074
-----------------[ cut ]----------------------------------------------

I would like to know if I could compare this Oscillator Strength
results with experimental epsilon x 10^-4 intensity value.

Thanks.

Best regards,
 Mike                          mailto:mike@mnc.md
                                                                     .
                                                                     :
                                                                     |
.        -     -   -  - -- --- ----------------======================+



From chemistry-request@server.ccl.net  Mon Mar 13 17:27:24 2000
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Date: Tue, 14 Mar 2000 09:27:05 +1100
To: chemistry@ccl.net
From: Jonathan Baell <J.Baell@bioresi.com.au>
Subject: MMF94s and dielectric

Dear All

Does anyone one have any references on the use of MMF94 ( with modified
amide parameters for static minimizations, a la MMF94s as implemented in
sybyl 6.5) for minimization of a crystal structure of a small molecule such
as, for example, a substituted benzanilide?

This is especially in regard to choice of dielectric function (e.g.
distance-dependent with base diel. of 4?) to best approximate the
solid-state electrostatic environment.

Our interest is in seeing how different or similar the minimized xtl
structure is to the xtl structure itself (and checking out of course that
it's not stuck in a theoretical local minimum).

jonathan baell



