From chemistry-request@server.ccl.net Sun Dec  1 16:25:28 2002
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From: "olivier maresca" <lougras@yahoo.fr>
To: <chemistry@ccl.net>
Subject: summary: ONIOM and multiplicity
Date: Sun, 1 Dec 2002 22:24:34 +0100
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Hi,=20
my question was:
> we are performing ONIOM (b3LYP:UFF) calculations on
> graphite compounds.
> The low and the high level have not the same multiplicity and
> consequently the computation stops.
> The problem arises from the UFF. Does anybody know how to :
> wether specify two different multiplicities for the two levels or
> suppress the multiplicity test in the molecular mechanics computation.
>=20
> Best Regards
>=20
> Olivier

the multiplicity of each layers in the case of an ONIOM computation can =
be specified in the line related
to the charge and multiplicity in the input. For example

0  1  0  3

the high level is a  neutral singlet and the low level a neutral =
triplet.

I would like to thank for their help:
Nicolas Ferr=E9, Douglas J. Fox, James Kubicki and Ataualpa Albert Carmo =
Braga.

Olivier Maresca
Domaine de la Bastide Bat A
1 traverse Cazeneuve
13012 Marseille
06 22 97 44 71


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charset=3Dwindows-1252">
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<BODY bgColor=3D#ffffff>
<DIV><FONT face=3DArial size=3D2>Hi, </FONT></DIV>
<DIV><FONT face=3DArial size=3D2>my question was:</FONT></DIV>
<DIV>&gt; we are performing ONIOM (b3LYP:UFF) calculations on<BR>&gt; =
graphite=20
compounds.<BR>&gt; The low and the high level have not the same =
multiplicity=20
and<BR>&gt; consequently the computation stops.<BR>&gt; The problem =
arises from=20
the UFF. Does anybody know how to :<BR>&gt; wether specify two different =

multiplicities for the two levels or<BR>&gt; suppress the multiplicity =
test in=20
the molecular mechanics computation.<BR>&gt; <BR>&gt; Best =
Regards<BR>&gt;=20
<BR>&gt; Olivier<BR></DIV>
<DIV><FONT face=3DArial size=3D2>the multiplicity of each layers in the =
case of an=20
ONIOM computation can be specified in the line related</FONT></DIV>
<DIV><FONT size=3D2><FONT face=3DArial>to the charge and multiplicity in =
the input.=20
For example</FONT></FONT></DIV>
<DIV><FONT size=3D2><FONT face=3DArial></FONT></FONT>&nbsp;</DIV>
<DIV><FONT size=3D2><FONT size=3D3>0&nbsp; 1&nbsp; 0&nbsp; =
3<BR></FONT></FONT></DIV>
<DIV><FONT size=3D2><FONT size=3D3>the high level is a&nbsp; neutral =
singlet and the=20
low level a neutral triplet.</FONT></FONT></DIV>
<DIV><FONT></FONT>&nbsp;</DIV>
<DIV><FONT>I would like to thank for their help:</FONT></DIV>
<DIV><FONT>Nicolas Ferr=E9, Douglas J. Fox, James Kubicki and Ataualpa =
Albert=20
Carmo Braga.</DIV>
<DIV><BR></FONT><FONT face=3DArial><FONT size=3D2>Olivier =
Maresca<BR>Domaine de la=20
Bastide Bat A<BR>1 traverse Cazeneuve<BR>13012 Marseille<BR>06 22 97 44=20
71<BR></DIV></FONT></FONT></BODY></HTML>

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From chemistry-request@server.ccl.net Sun Dec  1 14:42:50 2002
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From: "Peter Gannett" <pgannett@hsc.wvu.edu>
To: <qsar_society@accelrys.com>, <chemistry@ccl.net>,
   <parthi.s@jubilantbiosys.com>
Subject: Re: CCL:Quantum Chemistry in Drug Design
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I would say the problem is more complicated than just the amount of time required for a QC calc/compound.  For example, you can optimized a compound geometry all you want but it is not necessarily the geometry adopted when the molecule is in the active site of an enzyme so there is not much use.  Second, there are simple (minded) methods that clearly ignore a large number of interactions and still come out with useful information.  CoMFA is an example of this.  A rather simple set of compounds (training set of say 20 compounds) provides you with a reasonable ability to predict how to modify/improve on a drug's activity.  It has proven to be a fairly powerful method though computationally, it is very inexpensive.  So, it think the bottom line here that QC will not play an important role until it can be demonstrated that there are compelling reasons to implement it.

Pete Gannett

>>> "Parthiban" <parthi.s@jubilantbiosys.com> 11/29/02 08:41PM >>>
Dear Friends:
While several QSAR related techniques and methodologies are appearing in drug 
design Journals, very few talk about the more accurate quantum chemical 
methods in drug design arena. 

* What are the bottlenecks for the quantum chemical methods to get into the 
area of drug design. 

* For small molecules QC methods plays greater role, but for handling drug-
like molecules and handling several thousands of compounds, QC methods do not 
see the limelight (correct me if i am wrong). Is the CPU-intensiveness alone 
is the reason. Or is there any some conceptual gap in this. [ I hear someone 
saying CPU-intensive is the reason and one has to wait for months to get 
results ]

* Based on your experience/insight, can you think of some timeframe, say 5 
years, 10 years down the line, Quantum chemical methods would play a major 
role in the area of lead identification/optimization, or would you 
say "prediction of future is difficult!".

I look forward to reading your views. Thanks.

S. Parthiban
Jubilant Biosys Ltd. 
http://www.jubilantbiosys.com 



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