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From: "Ferenc Csizmadia" <fcsiz@chemaxon.com>
To: <chemistry@www.ccl.net>
Subject: Re: CCL:SUMMARY: Looking for an utility to generate unique SMILES
Date: Fri, 18 Dec 1998 08:58:27 +0100
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ChemAxon's Marvin Sketcher Java applet can be used to generate unique
SMILES from graphic input or MDL Molfile. All you need is a Java capable
browser (e.g. Netscape or IE) to run it. The applet is available at
http://www.chemaxon.com/marvin. It can also be downloaded to the users'
site.

Ferenc Csizmadia

~~~~~~
Ferenc Csizmadia, Ph.D.
ChemAxon Ltd.
Valyog u. 7, H-1032 Budapest, Hungary
http://www.chemaxon.com
T:+3620 9570988
mailto:fcsiz@chemaxon.com


-----Original Message-----
From: Christoph.Helma@univie.ac.at <Christoph.Helma@univie.ac.at>
To: chemistry@www.ccl.net <chemistry@www.ccl.net>
Cc: dalke@bioreason.com <dalke@bioreason.com>
Date: Thursday, December 17, 1998 4:58 PM
Subject: CCL:SUMMARY: Looking for an utility to generate unique SMILES


>Some weeks ago I was asking for a tool for the generation of unique
>SMILES under Linux. A source for the SMILES uniquetizer is available
>from
>
>       outreach@superior.dul.epa.gov
>
>I was able to compile it without problems, but did not have time
>enough to test it thoroughly.
>
>On a SGI it is possible to use the Daylight toolkit or TSAR (Oxford
>Molecular) to generate unique SMILES.
>
>
>Christoph Helma
>
>----
>Christoph Helma
christoph.helma@univie.ac.at
>Institut fuer
http://helma.cancer.univie.ac.at/
>Tumorbiologie-Krebsforschung
>Borschkegasse 8a                                      tel
+43-1-4277-65147
>A-1090 Wien, Austria                                  fax
+43-1-4277-9651
>
>-------This is added Automatically by the Software--------
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>


From chemistry-request@server.ccl.net  Fri Dec 18 06:33:30 1998
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From: "David B.Turner" <D.Turner@sheffield.ac.uk>
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Subject: Re: CCL:Enhancing CoMFA
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Dear all

To add to the previous message from Bob Clark:

I agree with everything he has to say about CoMFA grid
resolution / sampling-related effects. I didn't realise that Arthur 
Wang was suggesting that you take the orientation with the highest 
q2; this is clearly the wrong thing to do.

I have myself performed some extensive analyses of the effects 
on q2, r2 and test predictive r2 (pr2) of aggregate-body reorientation 
within the 3D-grid. I have done this at both 1 Ang and 2 Ang for 
two datasets.

The results, from >1,000 different orientations, are (in brief):

Melatonin receptor ligands (Sicsic et al, JMC, 1997, 40, 739)
            1 Ang                                                 2 Ang
q2   0.67 - 0.76    Mean 0.72          0.58 - 0.81  Mean 0.69 
r2    0.85 - 0.97    Mean 0.93          0.72 - 0.97 Mean 0.87 
pr2  0.66 - 0.80   Mean 0.73           0.43 - 0.88  Mean 0.70

Steroids (from original CoMFA paper but corrected by Wagener et al,
JAmChemSoc, 1995, 117. 7769 ):
(Fluorine-containing compound omitted from prediction set)
            1 Ang                                            2 Ang
q2    0.85 - 0.88   Mean 0.86            0.76 - 0.90   Mean 0.85 
r2    0.93 - 0.94   Mean 0.93             0.88 - 0.96  Mean 0.93 
pr2  0.81 - 0.86    Mean 0.84            0.63 - 0.91  Mean 0.83

In all cases there is almost zero-correlation (r) between q2 and
test set pr2 which clearly demonstrates the problem with taking
the orientation with the maximum q2 (although this doesn't really
need demonstrating...)

The steroid results are pretty stable (low variance) at 1 Ang while the 
melatonin scores are less so. I haven't looked at the variation in prediction for
 individual compounds - I have the data however. The 2 Ang results
(see also Cho and Tropsha CV-R2 GRS) suggest that many published 
PLS results are pretty meaningless**. My results for test set pr2 show
this even more strongly than with q2. Overall, the probability of
getting a model significantly different from the mean ("true"?) model is
quite low at 1 Ang but you _don't know_ where in the distribution your
initial model is unless you do some kind of reorientation testing ...
I think this will be the case whether or not Sybyl "ORIENT BEST_VIEW"
is used.
 
The steroid results will appear in a paper about EVA (in press 
JCAMD, Trevor Heritage and Allan Ferguson are co-athors). The
melatonin results have been submitted as part of a paper
about the application of a GA to selecting localised
Gaussian kernel widths in an EVA analysis.

Surely, the most straightforward means
of improving model-reliability is to use the smallest grid-spacing
possible / reasonable with the resources available. The use of 
SAMPLS makes this feasible for 1 Ang. resolution and less 
(depending on the number and size of compounds, of course). Once the 
q2 resulting from a particular resolution approximates to that of 
the mean/mode/median q2 from many analyses at, say, 2A 
resolution then one can say that you may have a reliable model 
that can be used for test set prediction.

On a slightly different subject why doesn't Tripos make general (rather 
than  HQSAR-only) use of  SAMPLS to perform fitted analyses and 
test predictions? It's very easy to implement.

Regards

David Turner

** This is ignoring: dataset design aspects which  is another kettle 
of fish, the type of CV to use and its relationship to dataset
design or lack of etc ... Experimental errors for bioactivity
data are also apparently generally ignored so the precision of
some estimates may be unwarranted ... 
Dr David B. Turner
Dept. of Information Studies
University of Sheffield,
Sheffield S10 2TN
UK
Tel.: 0114 2222 650   Fax.: 0114 2780 300
E-mail: D.Turner@sheffield.ac.uk

From chemistry-request@server.ccl.net  Fri Dec 18 09:08:39 1998
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Hi There,


Does anybody know where could we get
the NBO 4.0 version?

Thank you all!


					Txema Mercero
				        Euskal Herriko Unibertsitatea

From chemistry-request@server.ccl.net  Fri Dec 18 10:16:47 1998
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Date: Fri, 18 Dec 1998 16:07:14 +0100
To: chemistry@www.ccl.net
From: Dr Jose Luis Garcia de Paz <depaz@uam.es>
Subject: Summary:CIS and solvent calculation


Hi all,
Thank you to all who respond.
It looks like there is not any ab initio package 
able to perform CIS and SCFR calculations.
But there are some semiempirical ones:
  VAMP
  ARGUSLAB 
  ZINDO

Regards
Jose

                                _____________
Dr. Jose Luis Garcia de Paz    |_           /
Departamento de Quimica Fisica   |         |
Facultad de Ciencias, C-XIV-602  |   0    /
Universidad Autonoma de Madrid   <       | Telephon: +34-91-397.4957  or 4263
Ctra de Colmenar Km. 15          |_  ___/  Fax: +34-91-397.4512
E-28049 Madrid (SPAIN)             \/      E-mail: <depaz@uam.ES>
                                       alt E-mail: <depaz@tendilla.qfa.uam.ES>
http://www.uam.es/qfa/depaz.html
http://www.adi.uam.es/~depaz


From chemistry-request@server.ccl.net  Fri Dec 18 17:04:15 1998
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Date: Fri, 18 Dec 1998 18:59:12
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From: "Dr. Daniel Glossman" <glossman@overnet.com.ar>
Subject: bonding analysis
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 Dear netters:

 How should one interpret the numbers coming from a Mulliken bonding
 analysis in G94?

 Thanks in advance


					Dr. Daniel Glossman

					glossman@overnet.com.ar


From chemistry-request@server.ccl.net  Fri Dec 18 17:32:29 1998
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Date: Fri, 18 Dec 1998 17:29:15 -0500 (EST)
From: Ruth Tanner <rtanner@uoguelph.ca>
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Subject: Linux vs Windows 95 vs Windows NT
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I am debating which platform to use on my PC when (if) we get a new PC
that will be dedicated for running Gaussian98.  I would like to know what
the benefits are to using a Unix platform on a PC over using a
Windows-based platform (and vice versa).  I would also like to know from
people who have had experience installing Gaussian98 on PCs whether they
prefer Linux, Windows 95/98 or Windows NT and for what reasons.  

thanks :)
Ruth

-----------------------------------------------------------------------------
Ruth Tanner 						 rtanner@uoguelph.ca 
Masters Student in Physical Chemistry			Chemistry Department 
B.Sc. Chemical Physics (Co-op) 			 Minor in English Literature 
University of Guelph 			    http://www.uoguelph.ca/~rtanner/
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