From schmitz@mpi-dortmund.mpg.de  Fri Nov 25 04:14:37 1994
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Date: Fri, 25 Nov 94 10:07:03 +0100
From: frank.schmitz@mpi-dortmund.mpg.de (F.Schmitz)
Message-Id: <9411250907.AA05055@ks.mpi-dortmund.mpg.de>
To: chemistry@ccl.net
Subject: Email adress M. Carson


Dear netters

Does anybody know the email adress from Mike Carson from the university
of alabama?

Thank you !

Frank

frank.schmitz@mpi-dortmund.mpg.de

From peeter@chem.ut.ee  Fri Nov 25 05:14:38 1994
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From: peeter@chem.ut.ee (Peeter Burk)
Subject: Gaussian benchmarks (summary)
To: chemistry@ccl.net
Date: Fri, 25 Nov 1994 12:13:46 +0200 (EET)
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Hi!

Some time ago I asked on this forum about Gaussian benchmarks
for different computers. However, to my astonishment I got 
quite a few replays. Still, if somebody have some data to,
I will be most thankfull. Anyways, here comes the original
inquiry and the answers I got.
______________________________________________________________________
 
From peeter Tue Nov  8 17:11:02 1994
Subject: Gaussian benchmark request
 
 Dear all,
 We have now lucky possibility to buy new workstation for our
 group. We will use it primarily for running gaussian (and other
 QM programs like this). Can somebody point me to the places in 
 the net, where one can obtain gaussian benchmark information for 
 various computers? When such information is not available, can you
 please send to me the timings of some testjobs?
 Please send your answers directly to me and I will later summarize
 for net.
 Best regards,
 		Peeter

----------------------------------------------------------------------
From hommes@ccc.uni-erlangen.de

Dr. N.J.R. van Eikema Hommes
Computational Chemistry Center
University of Erlangen
Naegelsbachstrasse 25
D-91052 Erlangen, F.R.G.
hommes@ccc.uni-erlangen.de

Ab Initio Benchmarks   Gaussian 92, Cyclohexane (D3d)

Platform	HF/6-31G*	HF/6-31G*	MP2(fu)/6-31G*	MP4sdtq/6-31G*
		Optimization	Frequencies	Optimization	Single Point

CDC CD4680fs	4986		21172		41673		-   
		(0.52)		(0.59)		(0.38)

Convex C210	2570		12500		15900		33900
		(1.00)		(1.00)		(1.00)		(1.00)

SGI R4000	2445		12300		24300		92700
    100 MHz	(1.05)		(1.02)		(0.65)		(0.37)

SGI R4400	1594		7528		15483		-   
    150 MHz	(1.61)		(1.66)		(1.03)

HP 730		2377		11058		-   		-   
		(1.08)		(1.13)

HP 735		1286		5872		12640		32034
   99 MHz	(2.0)		(2.1)		(1.26)		(1.06)

IBM RS6000/580	976		4758		8891		-
		(2.6)		(2.6)		(1.79)

DecAXP 3000/800	912		4296		6900		22582
		(2.8)		(2.9)		(2.3)		(1.50)

IBM RS6000/590	555		2337		4327		14110
		(4.6)		(5.3)		(3.7)		(2.4)

Cray YMP	392		1520		1832		7069
		(6.6)		(8.2)		(8.7)		(4.8)

Keywords :
HF Optimization
%mem=4000000
#P RHF/6-31G* OPT SCF=DIRECT TEST POP=NONE

HF Frequencies
%mem=4000000
#P RHF/6-31G* FREQ GUESS=READ GEOM=CHECK SCF=DIRECT POP=NONE

MP2 Optimization
%mem=8000000
#P RMP2=(FULL,DIRECT,MAXDISK=60000000)/6-31G* OPT=READFC SCF=DIRECT POP=NONE
   GUESS=READ GEOM=CHECK TEST

MP4 Energy
%mem=8000000
#P RMP4SDTQ/6-31G* GUESS=READ GEOM=CHECK POP=NONE TEST

The full inputs are available upon request.
__________________________________________________________________________

From: jmuilu@joyke7.joensuu.fi (Juha Muilu)

Here is short summary of g92 execution times  (test job 178)
I have compiled from several sources..

Computer                Proc    MHz     Nproc   LP      178     G92 Version
                                                Mflops  min
--------------------------------------------------------------------
SGI Indigo/32Mb         R4000   50/100  1       16      111     RevC.3          
SGI Indigo/32Mb         R4400   75/150  1       24      80      RevC.3          
IBM RS6000 590/256MB    Power2  66      1       132     20      RevE    
IBM RS6000 590/256MB    Power2  66      1       132     17      RevG3   
IBM RS6000 380/32MB     Power2  57      1       50      45      RevE    
IBM RS6000 370          Power   62      1       26      57                      
IBM RS6000 550          Power   42      1       26      61                      
IBM RS6000 540          Power   30      1       19      83                      
IBM RS6000 32H/16MB     Power   25      1       12      134     RevB            
DEC 3000 AXP 800/Unix   Alpha   200     1               44      RevE.2
DEC 3000 300            Alpha   150     1        	144             
DEC 3000 500X           Alpha   200     1       	59              
DEC 3000 AXP 400/VMS    Alpha   133     1       26      90      RevG.2  
Cray X-MP EA/432                117     1       66      17               
CRAY C90 8/256                  ~250    1               4.25    RevC.3          
CRAY C90 8/256(incore)          ~250    1               1.5     RevC.3          
CRAY YMP EL                     34      1       	39               
Convex C3840                    37      1       	39               
Convex C3840                    37      2       	39               

Nproc) Number of processors used.
LP )   Linpack DP (100x100).  
178)   Test 178 from g92 test suite. 
       Elapsed wall clock time in minutes. 
       (Should be close to CPU+system time, when Nproc = 1)
       Number of basis functions:  300
       SCF iterations: 8
       Input stream:
       %mem=2000000
       #P RHF/6-31G** scf=direct test pop=npa prop=fit

       Gaussian 92 Test Job 178:
       TATB rhf/6-31g**//hf/6-31g**
       Energy should be -1006.2213391

       ....
c
Best Regards,
   
   Juha Muilu

   Department of Chemistry,University of Joensuu,P.O. Box 111
   80101 Joensuu,FINLAND
   Email:Juha.Muilu@joensuu.fi (NeXT mail ok)
   Phone:358-73-1513312,Fax:358-73-1513390

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

From Mckelvey@Kodak.COM

Several addenda for recent benchmarkings of Gaussian G3 and TEST0178

SGI/R8000	16 Min (By Roberto Gomperts at SGI)
IBM 590/pwr2	17 Min (Kodak)
IBM 390/pwr2	41 Min (Kodak; Same executable images as for 590/pwr2)
90 Mhz Pentium 600 Min (Kodak; Micronics mb with 512K cache and 32MB memory)


Regards

-- 

John M. McKelvey			email: mckelvey@Kodak.COM
Computational Science Laboratory	phone: (716) 477-3335
2nd Floor, Bldg 83, RL
Eastman Kodak Company			
Rochester, NY 14650-2216

Thank you all who found the time to read or even reply.
Regards,
	Peeter
 -- 
 Peeter Burk, Ph.D.                      Jakobi 2, EE2400 Tartu, Estonia
 Institute of Chemical Physics           Phone (372-7) 441-453   	
 Tartu University                        Fax   (372-7) 441-453   	
 Estonia                                 E-mail peeter@chem.ut.ee
 





From grzesb@asp.biogeo.uw.edu.pl  Fri Nov 25 05:22:13 1994
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Date: Fri, 25 Nov 94 10:29:13 +0100
From: grzesb@asp.biogeo.uw.edu.pl (Grzegorz Bakalarski)
Message-Id: <9411250929.AA22132@asp.biogeo.uw.edu.pl>
To: CHEMISTRY@ccl.net
Subject: SUMMARY: Mulliken Population Analysis and Basis Sets 


	Dear CCLNet,

Last Monday I asked a question on how much charges from
Mulliken population analysis can depend upon basis set,
especially using diffusive functions. 
Thanks to all you who replied. I think that every suggestion
is worth reading. Thank a lot

Yours sincerely
		Grzegorz Bakalarski
		Warsaw University
		Poland
_________________________________________________________
This is summary of replies I've got until Friday morning:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Original query:

        Dear Netters,

Maybe this is a very naive question, but ....
I'd like to ask you Dear Quantum Chemists, how much charges from
Mulliken population analysis can depend upon basis set ?
Particular problem is that I and coworkers have calculated Mulliken
charges using different programs using different basis sets e.g..
gaussian 6-31G** basis set ( in GAUSSIAN)  and double numerical
with polarization basis set (DNP in DMol). And of course we've got
different Mulliken charges. (As we've expected and as it is well
know that Mulliken charges depend on basis sets). But we've noticed
that for some atoms differences are quite large. For example when
a methyl group is bound to nitrogen atom changes are about 0.7-0.8 e
(6-31G** : -0.188 [MP2] ;-0.193 [B3-LYP] and DNP: -0.962 [LDF]; -0.786 [NLDF]).
I'd like to ask especially about comparison between DNP and gaussian + diffusive
basis sets, because as I know numerical basis sets  are "more diffusive" 
than gaussian ones  (they have "good tails").
I'd like to add that we've also calculated ESP charges and they are O.K. (differences
less than 0.1 e), that means that electron density is calculated correctly.
Any comments, references and hints  would be nice. Thanks in advance for
anyone who replies. If I get any useful information I'll summarize to the NET.
Best wishes and have a nice week.

                                Grzegorz Bakalarski
                                Dept. of Biophys. UW
                                & Interdisciplinary Centre
                                for Modelling (ICM)
                                Warsaw University
                                Poland

                        e-mail: grzesb@asp.biogeo.uw.edu.pl

$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$ R E P L I E S  $$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$

From: Ferenc.Molnar@chemie.uni-regensburg.de (Ferenc Molnar)
     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

There is a very nice review related to this topic:
Reviews in Computational Chemistry, Vol. 5, Libkowitz, Boyd (Eds.).
I can't remember by whom it was, right now, but if you look
in the book you will surely find it. The author favors Loevdin populations
over Mulliken populations and discusses the "atoms in molecules" approach
by Baader. The shortcomings of each method are discussed!

Hope this helps,

Ferenc Molnar
Institut fuer Physikalische und Theoretische Chemie
- Lehrstuhl Prof. Dick -                   Tel.:  (+49) 941 943-4466 /-4486
Universitaet Regensburg                    Fax.:  (+49) 941 943-4488
Universitaetsstrasse 31
D-93053 Regensburg
Deutschland / Germany

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From: "Erin Duffy" <eduffy@laplace.csb.yale.edu>
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hi -  You might want to take a look at the following:

(1)  Carlson, HA; Nguyen, TB; Orozco, M.; Jorgensen, WL.
     "Accuracy of Free Energies of Hydration for Organic
     Molecules from 6-31G(d)-Derived Partial Charges."  J.
     Comput. Chem.  (1993) v.14, 1240-1249.

(2)  Wiberg, KB; Rablen, PR.  "Comparison of Atomic Charges
     Derived via Different Procedures."  J. Comput. Chem.
     (1993) v.14, 1504-1518.

Ciao -  Erin
        erin@lorentz.csb.yale.edu (Erin Duffy)




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From: "FOUNTAIN, KEN" <SC18%NEMOMUS.bitnet@plearn.edu.pl>
       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

The answer is "Lots!"  In Gaussian computations fluctuations
abound, depending on the level of theory.
In fact the entire area of populations seems to be murky.


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From: "Robert K. Szilagyi" <szilagyi@indy.mars.vein.hu>
       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Dear Dr. Grzegorz Bakalarski,

        we found some systematical changes in Mulliken Population analysis
while varying basis sets. Our system contains transition metal and we are
utilizing effective core potentials. The magnitude of the charges was changed,
the inductive effects, electrophility, etc. remain the same.
I will send you a note if this article will accepted by the publisher.

        Sincerely Yours,

                            Rob

Robert K. Szilagyi                     University of Veszprem   METMOD FF
research fellow                        Dept. Org. Chem.            L1
Email: szilagyi@miat0.vein.hu          Veszprem, H-8201         L2 |   R1
       szilagyi@indy.mars.vein.hu      Egyetem u. 10              >W=C<
Phone: +36-(88)-422022/156             P.O.Box 158              L3 |   R2
FAX:   +36-(88)-426016                 HUNGARY                     L4

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From: young@slater.cem.msu.edu (Dave Young)
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hello,

        There was a question about basis set dependence of the
mulliken population analysis.  Generally, the answer is that there
is a basis set dependence and it is often very large.

        The arbitrary 50-50 split of overlap populations makes some
sense for minimal basis sets and covalent compounds.  For ionic
compounds, 50-50 split should be suspect immediately.  With diffuse
basis sets, the diffuse functions may be so far from the nucleus they
are centered on that they are describing the other nuclei more than
the one they are centered on.

        Somewhat better results are obtained with the Reid & Weinhold
natural orbital analysis.

        Probably the least basis set dependent results come from the
electrostatic analysis in which atomic charges are determined by
a least squares fit to the electrostatic potential.

        Hope this helps.

                                Dave Young
                                young@slater.cem.msu.edu
                                youngdc@msucem


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From: evaldera@amadeus.ivic.ve (Elmer Valderrama)
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

 Hi,

 Just in case you haven't check this source,

 I. Levine in "Quantum Chemistry" (1991) wrote:

 `One should not put too much reliance on numbers calculated by
  population analysis. Mulliken's assignment of half the overlap
  population to each basis function is arbitrary and sometimes leads
  to unphysical results (see Mulliken & Ermler, Diatomic Molecules, (1977)
  p. 36-38, 88-89). Moreover, a small change in basis set can produce
  a large change in the calculated net charges. For example, net
  charges on each H atom in CH4, NH3, and H2O calculated by the STO-3G
  and 3-21G basis set are (Hehre et al. Ab Initio Molecular Orbital
  Theory (1986), Sec. 6.6.2)

                     CH4    NH3    H2O
                  -----------------------
     STO-3G         0.06    0.16   0.18
     3-21G          0.20    0.28   0.36


  Comparison of values calculated with the same basis set correctly shows
  increasing charge on each H atom as the electronegativity increases
  from C to N to O, but comparison of the values calculated with different
  basis sets could erroneously lead one to say that the C-H bond in CH4
  is more polar than the O-H bond in H2O."

     "Many other methods have been proposed to assign charges to atoms
  in molecules. See P. Polizer et al. Theor.Chim. Acta 38 101 (1975);
  J. Cioslowsky, J.Am.Chem.Soc 111 8333 (1989); Hehre, Sec. 6.6.2)"


  -What follows is that you could carry out a detailed analysis of the
   results from both DNP and n-nnG type calcns but since no unitary
   transformation connect these wave functions, all would be reduced to
   just a basis-set-dependent effect.

   Elmer


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From: inoue@greencross.co.jp (Yoshihisa Inoue)
      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Dear Dr. Grzegorz Bakalarski,

I think Mulliken population analysis is historically important, but
actually sometimes perplexes researchers. As you know, the charges
are used for molecular dynamics or monte carlo calculations. Then,
I think they should have physicochemical meaning.
Following two reports might be useful for you.

TI Comparison of Atomic Derived via Different Procedures
AU Kenneth B. Wiberg and Paul R. Rablen
SO J.Comp.Chem.,14(12), 1504-1518 (1993)

TI Electron Density Distribution Analysis for Nitromethane,
   Nitromethide, and Nitramide
AU James P. Ritchie
SO J.Am.Chem.Soc.,107,1829-1837 (1985)

The former examined the charges with physicochemical properties.
You seems to use DMol, so I suggest to use Hirshfeld charges.
We also reported that Hirshfeld charges are very good at WATOC'93
at Toyohashi, Japan.
Dr.Ritchie made Rhosys and it can handle gaussian basis functions.
According to the JACS report, he provided the program. And
Drs.Wiberg and Rablen wrote that the Hirshfeld charges were
obtained using programs written at Yale.

Hope this help.

     ____/   ___/  ___/ Yoshihisa INOUE (^_^)   the Green Cross Corp.
    /       /     /     2-25-1 Shodai-Ohtani,Hirakata,Osaka 573 JAPAN
   / _ /   /     /         tel: +81-720-56-9328
  /   /   /     /          fax: +81-720-68-9597
_____/ _____/_____/     E-mail: inoue@greencross.co.jp





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From Jeffrey.Gosper@brunel.ac.uk  Fri Nov 25 09:14:40 1994
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Date: Fri, 25 Nov 1994 14:09:52 GMT
From: Jeffrey J Gosper <Jeffrey.Gosper@brunel.ac.uk>
Reply-To: Jeffrey.Gosper@brunel.ac.uk
Subject: Re: CCL:MO packages.
To: "S. Kent Worsnop" <WORSNOP@chem1.chem.dal.ca>
cc: chemistry@ccl.net
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>     I need to be able to draw accurate MO diagrams/energy level 
> diagrams however lack the software to do this.  So I would like to 
> ask if anyone knows of some shareware products that do these diagrams 
> and also where I can find them.  Please respond by e-mail. 
>

I don't know of any shareware, we use ChemX (which is expensive) if you 
come across any shareware material I would be more than interested as I 
have written a chemical viewer which gets its data from QM output.





From deakz@cdk-cgx.hu  Fri Nov 25 11:14:44 1994
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From: deakz@cdk-cgx.hu (Zoltan Deak)
Message-Id: <2ed6003e.hu021da@cdk-cgx.hu>
To: chemistry@ccl.net
Cc: zdeak@goliat.eik.bme.hu
Comment: EMIL 1.61: COMGENEX kutatasi-fejlesztesi KFT peldanya
Subject: Chemical software predicting pKa and logP under windows
X-Charset: US
X-Char-Esc: 0


Dear Reader,

We are pleased to let you know that our programs:
       pKalc 3.0 predicting the
D I S S O C I A T I O N   C O N S T A N T     (pKa)   and
       PrologP 5.0 predicting the
P A R T I T I O N    C O E F F I C I E N T    (logP)
are available for Windows platform from NOW ON. If you are
interested in details, we would be pleased to answer you.
Free demo version can be accessed via anonymous ftp on
www.ccl.net in:
/pub/chemistry/software/MS-WINDOWS/pKa_logP_logD-demo directory.
There are 2 files there:
pka_logp_demo.txt  contains detailed information
pka_logp_demo.zip  demo software

These can also be gotten via gopher (www.ccl.net port 73),
WWW: http://www.ccl.net/chemistry.html OR retrieved via CCL e-mail
interface to archives.   Yours sincerely,

Zoltan Deak
CompuDrug Chemistry Ltd. Marketing Department
e-mail: deakz@cdk-cgx.hu

From underhil@hp.rmc.ca  Fri Nov 25 13:14:44 1994
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To: chemistry@ccl.net
From: underhil@hp.rmc.ca (Ross Underhill)
Subject: Solubility reference


        I'm looking for a good review article on calculating a material's
solubility in a variety of solvents.  I'm particularly interested in the
solubility of polymers.  Does anyone have a favourite they can recommend?

Thanks

Ross Underhill


From states@ibc.wustl.edu  Fri Nov 25 19:10:08 1994
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From: states@ibc.wustl.edu (David J. States)
Message-Id: <199411260010.SAA24067@ibc.WUStL.EDU>
To: chemistry@ccl.net, tds26@cas.org
Subject: Re: CCL:Introducing CXF - WWW browser
X-Sun-Charset: US-ASCII


As those of you who have tried to explore the CXF definitions
will immediately discover, they are quite complex.  To ease
the process of learning them, I implemented a WWW hypertext
interface to the definitions that others might find useful.
Take a look at:

	http://ibc.wustl.edu/standards/

The biological sequence asn.1 definitions from the National
Center for Biotechnology Information are also available on the
same menu.

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

From mrigank@imtech.ernet.in  Fri Nov 25 19:14:46 1994
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Date: Wed, 23 Nov 94 21:35:19 +0530
From: Mrigank <mrigank@imtech.ernet.in>
To: chemistry@ccl.net
Subject: Protein Structure analysis:Summary


  I posted a querry on programs for prtein conformatoinal analysis. i
  recievd lots of reply. I am summarizing the replies here. Original
  replioes can be asked if some one wants.

Mrigank

___
One:

Protein Expert (for MAC with math coprocessor) can do some nice analysis
of protein structure, including comparisons of structures digested into
a database of sequence, distance and angle relationships.  You can search 
for motifs.  Volume comparisons of proteins is also quite complete. A 
demo is available at www.camsci.com

---
Two:
   
   For protein structure analysis, you could try the pkb by Steve Bryant.  The 
program itself is free, but it requires an Splus license to run (see below).
   The pkb is freely available via anonymous ftp over internet.  They are
present on ncbi.nlm.nih.gov, in the compressed tar archive
pub/pkb/pkb.tar.Z. 

The files in this directory are a distribution of the PKB program system.
This is PKB version 3.0.  It comes from:

   Steve Bryant
   National Center for Biotechnology Information
   National Library of Medicine, National Institutes of Health
   8600 Rockville Pike
   Bethesda, Maryland  20894

   Phone: (301) 476-2475
   Email: bryant@ncbi.nlm.nih.gov

PKB is provided to you free of charge as an academic exchange.  Please fell
free to use and/or modify the programs as you see fit.  I cannot guarantee
you support, but will try to answer questions.  Please acknowledge use of PKB 
in scientific publications, if appropriate.  Please do not redistribute PKB 
without permission, nor incorporate it into any commercial product.

Let me know what you do with PKB, or what you'd like to do but can't!
Comments and questions from users have helped me improve the system, 
and I'd like to continue the process!  

Steve Bryant, 5/6/93

-----
Three:

	in order to obtain P-curve, you better contact one of the
authors, Prof. Heinz Sklenar at the Max-Delbrueck-Centre for
Molecular Medicine, Robert-Roessle-Str. 10, 13122 Berlin, United
States of Germany. His Telephone is likely to be +49-9406-2561,
e-mail  sklenar@orion.rz.mdc-berlin.de .

----
Four:

I am not so sure whether the program PROCHECK would help you or not.
Perhap, you can try to look it. The program is available from 
    ftp 128.40.46.11  /pub/procheck/tar3_0_1 or /pub/procheck/source3_0_1.
-----

All those who reponded:

 Stefan Unger <sunger@crl.com>

 dirk@rulglj.LeidenUniv.nl (Dirk Huckriede)

 "Konrad, IRBM Chemistry, +39-6-91093606" <KOEHLER@IRBM.IT>

 h0159cap@rz.hu-berlin.de (Frank Eisenmenger)

 thep@risc1.lrm.fi.cnr.it (Pornthep Sompornpisut)

 toni@athe.wustl.edu (Toni Kazic)

  Thanks a million to all of you

Mrigank
----
Mrigank                           \/Phone  +91 172 49057     
Institute of Microbial Technology /\Email:  mrigank@imtech.ernet.in
Sector 39A,                       \/FAX: +91 172 40958, +91 172 28032          
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