From chemistry-request@server.ccl.net Thu Apr  4 02:00:22 2002
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From: "Dr. David N. Haney" <haney@haney.hbond.com>
Message-Id: <200204040702.XAA03270@haney.hbond.com>
Subject: Bioinformatics Software Tools
To: CHEMISTRY@ccl.net
Date: Wed, 3 Apr 2002 23:02:04 -0800 (PST)
Cc: haney@haney.hbond.com (Dr. David N. Haney)
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eduSoft, LC Announces New Bioinformatics Software:

### Molconn-Z DEVELOPERS' TOOLKIT ### for UNIX/LINUX and Windows
Molconn-Z is now available as a Developers TOOLKIT.
-SGI IRIX, Sun Solaris, Linux, Windows 2000
-over 300 MOLECULAR DESCRIPTORS: the standard for DESCRIPTOR analysis
-integrate with in-house tools or re-package for clients
-DATABASE + MOLCONN-Z + STATISTICS --> New Leads

### Molconn-Z JAVA Version ### for UNIX/LINUX and Windows
Molconn-Z is now available with a Java Interface.
-SGI IRIX, Sun Solaris, Linux, Windows 2000.  Beta testers needed.
-Statistical Analysis in Java Tables
-Client-Server methodology to allow JAVA on 1 machine and Molconn-Z elsewhere

### HINT DEVELOPERS' TOOLKIT ### for UNIX/LINUX and Windows
-LogP for small molecules, macromolecules, 3D LogP maps, dG interaction maps
-3D LogP QSAR fields, 3D LogP docking score, 3D molecule interaction maps
-integrate with in-house tools or re-package for clients

website http://www.edusoft-lc.com.  Software is available for free trial.

VISIT eduSoft and OpenEye Software at the ACS: April 8-10 Booths #170,172!
-- 
#########              David N. Haney, Ph.D.                 #########
#  Haney Associates                            Phone - 858-483-1197  #
#  5455 Westknoll Dr.                            FAX - 858-483-1046  #
#  La Jolla, CA 92037                       Email - haney@hbond.com  #
#################                                #####################

From chemistry-request@server.ccl.net Thu Apr  4 05:30:29 2002
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From: Adina Milac <amilac@biochim.ro>
To: Computational Chemistry List <chemistry@ccl.net>
Subject: neural networks problem
Message-ID: <Pine.LNX.4.21.0204041339590.10877-100000@micro.biochim.ro>
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We are trying to develop a neural network that would be able to predict
the inhibition of some chemical compounds based on some physico-chemical
properties of these compounds.  From the mathematical point of view, the
problem is to associate training vectors with 4 fields with a scalar.

The problem we face is the following:   after we have tried different
variants of training sets, we have found that if "extreme" vectors
(vectors in which one of the fields has either maximum or minimum
values) are excluded from the training set, the prediction for that vector
is extremely poor.  In other words, the network is not able to extrapolate
the data it learns.

In my opinion, this could be due to one (or more) of the following
reasons (from least to most probable):

1.  network architecture is not appropriate for the task (although I have
tried many variants of network dimensions and transfer functions)

2.  the network is unable to determine a function based on which it could
make the extrapolation

3.  the physico-chemical properties we have used for building input
vectors are not adequate for predicting inhibition

What could be, in your opinion, the cause for this failure and what do you
suggest me to do?

Hoping that you will find the time to answer my message, I thank you and I
wish you all the best,

ADINA MILAC

Ph.D Student, Research Assistant
Institute of Biochemistry, Romanian Academy
Splaiul Independentei 296, 77700 Bucharest 17, Romania 
Phone: (+401).223.90.69; FAX: (+401).223.90.68
e-mail: amilac@biochim.ro


From chemistry-request@server.ccl.net Thu Apr  4 03:41:01 2002
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Subject: Accelrys Life Science Training in Paris, France
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Accelrys will be holding a pair of 2-day workshops at the Universit=E9=20
Pierre et Marie Curie, Paris, France.

On May 21-22, the "Introduction to Cerius2 for Life Sciences" workshop=20
will be offered.  This course provides an overview of molecular modelling=20
techniques for life sciences applications using Cerius2.  The workshop=20
will focus on basic skills for use of the interface and will explore=20
various modules in the areas of rational-drug design, structure-based drug =

design, and combinatorial chemistry.  Prior modelling experience is not=20
assumed making this course a great place to learn molecular modelling with =

Cerius2.

On May 23-24, the " Small Molecule and Drug Design with Cerius2" workshop=20
will be offered.  This workshop is aimed at our customers who are involved =

in drug design or the development of other bioactive compounds and who=20
would like to make more effective use of modelling in their research.  The =

course will focus on QSAR techniques and methodologies as well as=20
structure-based ligand design.  Attendees should possess knowledge of=20
basic UNIX commands and have a basic understanding of QSAR theory.=20
Familiarity with the Cerius2 environment is required for attendance to=20
this workshop.  Both suggested prerequisites can be met by attending the=20
introductory workshop.

Fees for each 2-day course are 1200 euro commercial, 900 euro government,=20
and 660 euro academic.  If payment is made through a credit card, the fees =

are US$1200 commercial, US$900 government, and US$660 academic (excl VAT). =

 However, register for both courses and receive a 10% discount for the=20
second course.

Registration is on-line at URL http://www.accelrys.com/training/lifesci/reg=
istration.php.  Further detailed information about this and other Accelrys =
training=20
workshops can be found at the Accelrys website (http://www.accelrys.com/tra=
ining/lifesci/schedule.html).  Please do not hesitate to contact us should =
you have any questions.


Thank you very much.

Tien Luu
+44 1223 402 895

Judith Madeley
+44 1132 033 714
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<br><font size=3D2 face=3D"sans-serif">Accelrys will be holding a pair of 2=
-day workshops at the Universit=E9 Pierre et Marie Curie, Paris, France.</f=
ont>
<br>
<br><font size=3D2 face=3D"sans-serif">On May 21-22, the &quot;Introduction=
 to Cerius2 for Life Sciences&quot; workshop will be offered. &nbsp;This co=
urse provides an overview of molecular modelling techniques for life scienc=
es applications using Cerius2. &nbsp;The workshop will focus on basic skill=
s for use of the interface and will explore various modules in the areas of=
 rational-drug design, structure-based drug design, and combinatorial chemi=
stry. &nbsp;Prior modelling experience is not assumed making this course a =
great place to learn molecular modelling with Cerius2.</font>
<br>
<br><font size=3D2 face=3D"sans-serif">On May 23-24, the &quot; Small Molec=
ule and Drug Design with Cerius2&quot; workshop will be offered. &nbsp;This=
 workshop is aimed at our customers who are involved in drug design or the =
development of other bioactive compounds and who would like to make more ef=
fective use of modelling in their research. &nbsp;The course will focus on =
QSAR techniques and methodologies as well as structure-based ligand design.=
 &nbsp;Attendees should possess knowledge of basic UNIX commands and have a=
 basic understanding of QSAR theory. &nbsp;Familiarity with the Cerius2 env=
ironment is required for attendance to this workshop. &nbsp;Both suggested =
prerequisites can be met by attending the introductory workshop.</font>
<br>
<br><font size=3D2 face=3D"sans-serif">Fees for each 2-day course are 1200 =
euro commercial, 900 euro government, and 660 euro academic. &nbsp;If payme=
nt is made through a credit card, the fees are US$1200 commercial, US$900 g=
overnment, and US$660 academic (excl VAT). &nbsp;However, register for both=
 courses and receive a 10% discount for the second course.</font>
<br>
<br><font size=3D2 face=3D"sans-serif">Registration is on-line at URL http:=
//www.accelrys.com/training/lifesci/registration.php. &nbsp;Further detaile=
d information about this and other Accelrys training workshops can be found=
 at the Accelrys website (http://www.accelrys.com/training/lifesci/schedule=
.html). &nbsp;Please do not hesitate to contact us should you have any ques=
tions.</font>
<br>
<br>
<br><font size=3D2 face=3D"sans-serif">Thank you very much.</font>
<br>
<br><font size=3D2 face=3D"sans-serif">Tien Luu</font>
<br><font size=3D2 face=3D"sans-serif">+44 1223 402 895</font>
<br>
<br><font size=3D2 face=3D"sans-serif">Judith Madeley</font>
<br><font size=3D2 face=3D"sans-serif">+44 1132 033 714</font>
--=_alternative 002FAC9E80256B91_=--


From chemistry-request@server.ccl.net Thu Apr  4 08:45:02 2002
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Date: Thu, 4 Apr 2002 15:44:48 +0200 (MEST)
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From: Stefan Portmann <info@watoc02.ch>
Reply-To: info@watoc02.ch
Subject: WATOC'02: First detailed program available
Content-Type: text

Dear Madam or Sir

6th WORLD CONGRESS OF THEORETICALLY ORIENTED CHEMISTS (WATOC'02)
August 4-9, 2002, Palazzo dei Congressi, Lugano, Switzerland

Theory, Computation and Information Science in Chemistry,
Biochemistry and Materials Science

We are pleased to announce the FIRST DETAILED PROGRAM
of WATOC'02 at http://www.watoc02.ch
Please also have a look at the information regarding local
expenses in the section "Budgetary Considerations".

Don't miss the deadline to get the early bird discount
(April 31 2002) and register also at http://www.watoc02.ch

Abstracts for poster presentations can still be submitted
at the same location. The poster sessions will be endowed
by Gaussian, Inc.. In order to give the poster sessions
optimal visibility, an award program was established.
The posters will be rated both on popular and on jury votes.
There will be a two hour award ceremony on Thursday evening.

We are looking forward to see you in Lugano.

Hans Peter Luethi and Stefan Portmann
ETH Zurich





From chemistry-request@server.ccl.net Thu Apr  4 07:17:22 2002
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Date: Thu, 4 Apr 2002 14:17:13 +0200
From: Lars Packschies <packschies@rrz.Uni-Koeln.de>
To: CCL <chemistry@ccl.net>
Subject: G98 - Arithmetic Exception ?
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Dear CCLers,

has anyone ever seen this g98a9 (and g98a11) error message:

  Arithmetic Exception    ?

job: # opt rmp2/CEP-121G(3df) .....

   adding "3df" there leads to the error...

It's a sun fire 15000, running Solaris 8

G98: (`file` output)=20

     g98: ELF 64-bit MSB executable, SPARC V9, version 1 (SYSV),=20
     dynamically linked (uses shared libs), not stripped

Greetings

  Lars

--=20
             ,H  + Dr. Lars Packschies   ZAIK/RRZK, Robert-Koch-Str.10 +
H      H    O    | Chemistry Dpt. Support             D-50931 Cologne  |
 `O-H. |  ,' `H  | Comp.Dpt., Univ. of Cologne   Phn (+49)221-478-7022 |
      `O-H       + Packschies@rrz.uni-koeln.de   Fax (+49)221-478-5568 +

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iD8DBQE8rERHkRMt176/QQkRAit2AJ9qClW54Lsvx23bukKMM4w86o1HNgCgmOm2
kckXthMdLFLngpdLYqgDoKU=
=6yM3
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From chemistry-request@server.ccl.net Wed Apr  3 16:51:36 2002
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From: "Jerry Song" <songm@rpi.edu>
To: "Zhangxd" <zhangxd@alien.biochem.wfubmc.edu>
Cc: <chemistry@ccl.net>
References: <Pine.SGI.4.21.0202041747540.1351597-100000@alien.biochem.wfubmc.edu> <003601c1db2d$ea779000$5dcae88c@pak3>
Subject: Re: CCL:how i can get detailed secondary structure from coordinate file?
Date: Wed, 3 Apr 2002 16:43:20 -0500
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Rasmol. you can open it and then concert it to molscript file (you need to
download the executable molscript program and set up the proper path), which
will contain the secondry structure infomation you need.

the format will be :

.....
  turn residue 10;
  turn residue 11;
  turn residue 12;
 set planecolour green;
  coil from 10 to 13;
  set planecolour rgb 1 0 0;
  helix from 13 to 28;
  turn residue 28;
......

> ----- Original Message -----
> From: "Zhangxd" <zhangxd@alien.biochem.wfubmc.edu>
> To: "Jeff Nauss" <jnauss@accelrys.com>
> Cc: <chemistry@ccl.net>
> Sent: Monday, February 04, 2002 5:56 PM
> Subject: CCL:how i can get detailed secondary structure from coordinate
> file?
>
>
> > Dear All,
> > during my research, i need the detailed information about secondary
> > structure of my biology system, i had its coordinate file, how i can get
> > its secondary structure information from this coordinate file? just like
> > the following:
> > Resi. 1 to Resi. 10 AlphaHelix
> > Resi. 15 to Resi. 25 BetaSheet
> > >..................
> > >...............
> >
> > hopefully it should be a program can do this automatically.
> > i had tried VMD, it just gives the graph of secondary structure of
> > the sequence but not a detailed text information like the above sample.
> >
> > thanks in advance!!!!
> >
> >
> >
> > CHEMISTRY@ccl.net -- To Everybody  | CHEMISTRY-REQUEST@ccl.net -- To
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> >
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> >
> >
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From chemistry-request@server.ccl.net Thu Apr  4 08:51:27 2002
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From: =?iso-8859-1?Q?Jes=FAs_Rodr=EDguez_Otero?= <qftjesus@usc.es>
To: <chemistry@ccl.net>
Subject: anisotropy of the susceptibility with G98
Date: Thu, 4 Apr 2002 15:52:03 +0200
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Hi netters

Does Gaussian calculate correctly the anisotropy of the magnetic =
susceptibility?
It seems to me that no.

**********************************************************
Magnetic susceptibility (cgs-ppm):
   Isotropic =3D   -91.9555   Anisotropy=3D    47.0081
   XX=3D   -61.8277   YX=3D    -2.8296   ZX=3D     0.0070
   XY=3D    -2.7275   YY=3D   -66.9920   ZY=3D     0.0003
   XZ=3D    -0.0009   YZ=3D     0.0198   ZZ=3D  -147.0468
   Eigenvalues:  -147.0468   -68.2029   -60.6168
*********************************************************************

the correct thing is to calculate it of the following way?

anisotropy=3DTzz-1/2(Txx+Tyy). This way the result is -82.64

or with the Eigenvalues?? This way the result is almost equal

Thanks


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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; =
charset=3Diso-8859-1">
<META content=3D"MSHTML 6.00.2600.0" name=3DGENERATOR>
<STYLE></STYLE>
</HEAD>
<BODY bgColor=3D#ffffff>
<DIV><FONT face=3DArial>Hi netters</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial>Does Gaussian calculate correctly the anisotropy =
of the=20
magnetic susceptibility?</FONT></DIV>
<DIV><FONT face=3DArial>It seems to me that no.</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV>
<DIV><FONT=20
face=3DArial>**********************************************************</=
FONT></DIV>
<DIV><FONT face=3DArial size=3D2>Magnetic susceptibility =
(cgs-ppm):<BR>&nbsp;&nbsp;=20
Isotropic =3D&nbsp;&nbsp; -91.9555&nbsp;&nbsp; =
Anisotropy=3D&nbsp;&nbsp;&nbsp;=20
47.0081<BR>&nbsp;&nbsp; XX=3D&nbsp;&nbsp; -61.8277&nbsp;&nbsp;=20
YX=3D&nbsp;&nbsp;&nbsp; -2.8296&nbsp;&nbsp; =
ZX=3D&nbsp;&nbsp;&nbsp;&nbsp;=20
0.0070<BR>&nbsp;&nbsp; XY=3D&nbsp;&nbsp;&nbsp; -2.7275&nbsp;&nbsp; =
YY=3D&nbsp;&nbsp;=20
-66.9920&nbsp;&nbsp; ZY=3D&nbsp;&nbsp;&nbsp;&nbsp; =
0.0003<BR>&nbsp;&nbsp;=20
XZ=3D&nbsp;&nbsp;&nbsp; -0.0009&nbsp;&nbsp; =
YZ=3D&nbsp;&nbsp;&nbsp;&nbsp;=20
0.0198&nbsp;&nbsp; ZZ=3D&nbsp; -147.0468<BR>&nbsp;&nbsp; =
Eigenvalues:&nbsp;=20
-147.0468&nbsp;&nbsp; -68.2029&nbsp;&nbsp; -60.6168</FONT></DIV>
<DIV><FONT face=3DArial=20
size=3D2>****************************************************************=
*****</FONT></DIV>
<DIV><FONT face=3DArial size=3D2></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial>the correct thing is to calculate it of the =
following=20
way?</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial>anisotropy=3DTzz-1/2(Txx+Tyy). This way the =
result is=20
-82.64</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial>or with the Eigenvalues?? This way the result is =
almost=20
equal</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV>
<DIV><FONT face=3DArial>Thanks</FONT></DIV>
<DIV><FONT face=3DArial></FONT>&nbsp;</DIV></BODY></HTML>

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From chemistry-request@server.ccl.net Wed Apr  3 14:44:29 2002
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Date: Wed, 03 Apr 2002 14:36:15 -0500
From: Pedro A Reche Gallardo <reche@research.dfci.harvard.edu>
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Dear All, I am interested in doing a molecular dynamics simulation on a
ligand and the surrounding binding site in a protein keeping the rest
fixed.  Moreover, since I am planning to do this for a collection of
ligands and proteins I would like to do it in an automated way based on
running scripts.  Unfortunately, I do not have much experience doing
molecular dynamics, and  therefore I will appreciate a lot if someone
would let me know what  the best software to use, and how to fix a set
of atoms.
Regards,

Pedro Reche
*******************************************************************
PEDRO A. RECHE , pHD            TL: 617 632 3824
Dana-Farber Cancer Institute,   FX: 617 632 4569
Harvard Medical School,         EM: reche@research.dfci.harvard.edu
44 Binney Street, D1510A,       EM: reche@mifoundation.org
Boston, MA 02115                URL:
http://www.reche.org
*******************************************************************


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<!doctype html public "-//w3c//dtd html 4.0 transitional//en">
<html>
<tt>Dear All, I am interested in doing a molecular dynamics simulation
on a ligand and the surrounding binding site in a protein keeping the rest
fixed.&nbsp; Moreover, since I am planning to do this for a collection
of ligands and proteins I would like to do it in an automated way based
on running scripts.&nbsp; Unfortunately, I do not have much experience
doing molecular dynamics, and&nbsp; therefore I will appreciate a lot if
someone would let me know what&nbsp; the best software to use, and how
to fix a set of atoms.</tt>
<br><tt>Regards,</tt><tt></tt>
<p><tt>Pedro Reche<br>
*******************************************************************<br>
PEDRO A. RECHE , pHD&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
TL: 617 632 3824<br>
Dana-Farber Cancer Institute,&nbsp;&nbsp; FX: 617 632 4569<br>
Harvard Medical School,&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
EM: reche@research.dfci.harvard.edu<br>
44 Binney Street, D1510A,&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; EM: reche@mifoundation.org&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br>
Boston, MA 02115&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
URL: <A HREF="http://www.reche.org">http://www.reche.org</A>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<br>
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<br><tt></tt>&nbsp;</html>

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From chemistry-request@server.ccl.net Thu Apr  4 11:20:53 2002
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From: Szilveszter Juhos <szilva@ribotargets.com>
To: Adina Milac <amilac@biochim.ro>
cc: Computational Chemistry List <chemistry@ccl.net>
Subject: Re: CCL:neural networks problem
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On Thu, 4 Apr 2002, Adina Milac wrote:
> In my opinion, this could be due to one (or more) of the following
> reasons (from least to most probable):
[..]

Unfortunatelly neural nets are not that easy as some people think. In
most of the cases the problem is what you mentioned: if you want to
extrapolate to a region of parameter space that is not represeneted by
the training data than you can have incorrect predictions. If I can
recommend one book is that one that was written by C. Bishop (
http://www.ncrg.aston.ac.uk/People/bishopc/Welcome.html ) where most of
these problems are discussed. Also there are a loads of good papers on
these pages. 

My first run would be to play with the properties (3rd problem) checking
the weights. If one of the properties have a very small weight than it is
unlikely to affect the overall prediction so it can be replaced by an
other property (that can improve prediction if we are lucky). Still likely
you have to include extreme values into the training set.

Szilva


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From: "Vijay Pargaonkar" <vijayp@mahindrabt.com>
To: "Adina Milac" <amilac@biochim.ro>,
   "Computational Chemistry List" <chemistry@ccl.net>
References: <Pine.LNX.4.21.0204041339590.10877-100000@micro.biochim.ro>
Subject: Re: CCL:neural networks problem
Date: Thu, 4 Apr 2002 19:34:22 +0530
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Dear Adina Milac,
                 Your observations are right. I have also experienced the
same fact about different data sets.   As the degree of extrapolation
increases
the prediction capabilities of neural netwroks decreases. Neural Networks
are
 efficient interpolators. They are not meant for extrapolations.
Hence, Maxima and minima play crucial role in training set.

               There are reasons for poorer performance. I have a lot of
experience on Neural Networks. However, Accurate information about your
Neural
Network will enable me in explaining you how to tackle this situation.

Thanks.

Pargaonkar Vijay

----- Original Message -----
From: "Adina Milac" <amilac@biochim.ro>
To: "Computational Chemistry List" <chemistry@ccl.net>
Sent: Thursday, April 04, 2002 9:10 PM
Subject: CCL:neural networks problem


>
> We are trying to develop a neural network that would be able to predict
> the inhibition of some chemical compounds based on some physico-chemical
> properties of these compounds.  From the mathematical point of view, the
> problem is to associate training vectors with 4 fields with a scalar.
>
> The problem we face is the following:   after we have tried different
> variants of training sets, we have found that if "extreme" vectors
> (vectors in which one of the fields has either maximum or minimum
> values) are excluded from the training set, the prediction for that vector
> is extremely poor.  In other words, the network is not able to extrapolate
> the data it learns.
>
> In my opinion, this could be due to one (or more) of the following
> reasons (from least to most probable):
>
> 1.  network architecture is not appropriate for the task (although I have
> tried many variants of network dimensions and transfer functions)
>
> 2.  the network is unable to determine a function based on which it could
> make the extrapolation
>
> 3.  the physico-chemical properties we have used for building input
> vectors are not adequate for predicting inhibition
>
> What could be, in your opinion, the cause for this failure and what do you
> suggest me to do?
>
> Hoping that you will find the time to answer my message, I thank you and I
> wish you all the best,
>
> ADINA MILAC
>
> Ph.D Student, Research Assistant
> Institute of Biochemistry, Romanian Academy
> Splaiul Independentei 296, 77700 Bucharest 17, Romania
> Phone: (+401).223.90.69; FAX: (+401).223.90.68
> e-mail: amilac@biochim.ro
>
>
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>

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From chemistry-request@server.ccl.net Thu Apr  4 14:31:02 2002
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Date: Thu, 04 Apr 2002 13:30:53 -0600
From: "Ivanciuc, Ovidiu I." <oiivanci@utmb.edu>
Subject: RE: neural networks problem
To: "'Adina Milac '" <amilac@biochim.ro>
Cc: "'chemistry@ccl.net'" <chemistry@ccl.net>
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Adina,
>We are trying to develop a neural network that would be able to predict
>the inhibition of some chemical compounds based on some physico-chemical
>properties of these compounds.
>The problem we face is the following:   after we have tried different
>variants of training sets, we have found that if "extreme" vectors
>(vectors in which one of the fields has either maximum or minimum
>values) are excluded from the training set, the prediction for that
>vector is extremely poor.  In other words, the network is not able to
>extrapolate the data it learns.

When using artificial neural networks (ANN) in QSAR you have to
consider that ANN are highly non-linear systems in which
extrapolation is very difficult.
Moreover, the usual transfer function of the output neuron is
the sigmoid which takes values between 0 and 1, or the hyperbolic
tangent tanh which takes values between -1 and 1.
Now suppose that in your calibration set the maximum output
(Y exp value) is 4, and in the prediction set you have a pattern
with the output 8. Now, in calibrating the ANN (optimization of the
connection weights between neurons) the Yexp=4 is mapped to +1,
which is the maximum output both for the sigmoid and tanh, and
all weights are optimized to give an output value +1 for the
input values associated with Yexp=4.
When you test the pattern with the output value Yexp=8, your output
will still be +1, since the sigmoid and tanh cannot give a larger
output, irrespective of the input values.
Therefore, you must understand that his is a mathematical limitation
of ANN with sigmoid and tanh output transfer function.

What can be done:
- scale the output values in the calibration set of molecules to a
smaller range, i.e. for tanh instead of -1 to +1 scale to -0.9
to +0.9. In this way, the ANN can offer an output value larger
than the maximum output in the calibration set.
- use a linear output transfer function, which is not bounded.
In my QSAR and QSPR experiments, I have constantly found that
a linear output function gives slightly smaller R in calibration
but better R in prediction, compared with the sigmoid and tanh.
- be aware that the ratio between the number of patterns used
in calibration (to optimize the weights) and the number of
optimizable parameters (number of connections between neurons)
must be as large as possible, but not smaller than 5 or 4.
- you have to optimize the weights with a good nonlinear
optimization algorithm; the backpropagation is bad, and usually
gives a cheap-and-dirty result. Go with a conjugate gradient
algorithm.
- always keep in mind that with QSAR models you cannot obtain good
predictions for patterns very different from those used to
calibrate the model.

Succes si o zi buna,
Ovidiu Ivanciuc
*************************

Dr. Ovidiu Ivanciuc
Sealy Center for Structural Biology,
Department of Human Biological Chemistry & Genetics,
University of Texas Medical Branch,
301 University Boulevard,
Galveston, Texas 77555-1157


From chemistry-request@server.ccl.net Thu Apr  4 09:04:21 2002
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Hello everybody:

We are looking for examples of protein mutants (with only one or two 
mutations) whose crystallographic structures have been determined 
experimentally, and exhibit a significantly altered structure (different 
backbone trace, gyration radius, local secondary structure) when compared 
to their wild type counterparts. Any hint is welcome.

Thanking in advance

Martin Lema
National University of Quilmes
Argentina




From chemistry-request@server.ccl.net Thu Apr  4 14:34:09 2002
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Dear netters,

We need an advice on how to create a movie from
xyz files (generated by moledular dynamics simulation).
We have a thousand xyz files. Is there a script or another
automated tool could help us to generate an AVI
movie suitable to our needs? Could you help us with
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Thanks in advance.

Sócrates Dantas.

dantas@fisica.ufjf.br



From chemistry-request@server.ccl.net Thu Apr  4 12:04:31 2002
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From: "Borosy, Andras {Basi~Basel}" <ANDRAS.BOROSY@Roche.COM>
Subject: RE: neural networks problem
To: "'Adina Milac'" <amilac@biochim.ro>,
   Computational Chemistry List <chemistry@ccl.net>
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> 
> 2.  the network is unable to determine a function based on 
> which it could
> make the extrapolation
> 

That is the main reason. However the other regression methods suffer from that, too. If one is lucky linear relationship may valid outside the training set, if the linearity is more general.

Best wishes,

András Borosy





From chemistry-request@server.ccl.net Thu Apr  4 23:01:32 2002
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Date: Thu, 4 Apr 2002 23:01:29 -0500 (EST)
From: Jan Labanowski <jkl@ccl.net>
To: chemistry@ccl.net
cc: Jan Labanowski <jkl@ccl.net>
Subject: CCL Coordinator needs your help -- I really do!!!
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Dear CCL Subscribers,

I hope that by running this list I can occasionally ask you for your support.
This time I am asking for two supports {:-)}  Yes, I am shameless...

   1) For CCL itself. Please help with your donations, purchase of
      CCL archives, and contributions to archives, There is also a new
      service: paying for job announcements. Check:
          http://www.ccl.net/chemistry/announcements/jobs
      (do not jump -- it is still free, but if you want to pay for it, I will
      provide you with the tools --- the quotations and invoices when needed).
      CCL needs your support... I am very busy lately, and the list needs
      constant attention, additions, and development. With the hostile
      Internet environment, it needs more attention to details than ever.
      This is done by my student coworkers -- you pay their salaries, so
      please help. The information how to support CCL is on the front page
      of CCL Web site: www.ccl.net

   2) Please come to the meetings I am co-organizing on computational
      materials science. Check the Web site:

           http://asdn.net/emrs/fall2002

      and the links to Spring E-MRS and Moscow Nano & Giga Conference.
      The meetings have already attracted a lot of interest and we have
      great speakers and topics lined up. Please come...
      Be a participant and submit a paper. If you are "in a position", consider
      encouraging your institution to sponsor, provide training, or have
      a booth at the E-MRS Fall 2002 meeting.  This will be a highly
      visible event!!!

I attach a short description of the E-MRS Fall 2002 Symposium A in Cracow.
I am sorry if you saw it before, since I did recently a massive mailing
about this meeting. Please distribute this information within your
organization and with your colleagues if you think that they may be
interested. THANK YOU!!!

The European Materials Research Society Meetings are Europe's largest
gatherings of material scientists and engineers. The Fall 2002 Meeting
will be held in Cracow, Poland. Please consider being a part of this
meeting by attending Symposium A:

   SOFTWARE DEVELOPMENT FOR PROCESS AND MATERIALS DESIGN.

         http://asdn.net/emrs/fall2002

        Sept. 15-19    Cracow, Poland

The E-MRS Meeting is traditionally very well attended with participants from
Europe, Asia, and The Americas. We have already confirmed very good speakers
and we are working on inviting even more high caliber presenters. Several
sessions are planned spanning non-empirical and empirical approaches,
at different scales for different materials needs. Check our Web site for
details and start working on your abstract (the deadline is May 7, 2002 !!!).
We will publish papers presented at the meeting with Elsevier. Details
will be provided by the Meeting Organizers soon.  While the emphasis of
the symposium is on methodology development, papers which present excellent
examples of applications are also invited. We plan to organize topical sessions
and start each session from the overview of the current state-of-the-art.
There are also other symposia at this meeting -- for topics check the Web site
and links given there.

Last but not least, the location of the meeting is very attractive.
Cracow, a well known tourist attraction, is a beautiful historical
city with charming atmosphere. While the meeting will be quite busy,
there will be time to go to the Old Market Place or to see the Wawel Castle.
This is a perfect time to be in Krakow with the summer crowds gone, and
the beautiful colors of fall coming to the Planty -- the green belt which
marks the location of old city walls.

Please also consider supporting our meeting (details are available on
the Web). This meeting would be a great opportunity to gain publicity
and to present your products in this dynamically developing part of the world.

If you know someone who may be interested in participating in this
important meeting, or if you belong to the mailing list or newsgroup
which can benefit from participating in this meeting, please forward
this message. This will be a good and informative meeting.

Thank you for your consideration.

Jan Labanowski (jkl@ccl.net) for the Organizing Committee:

Anatoli A. Korkin             Jim Greer            Stanislaw Kucharski
anatoli.korkin@motorola.com  jgreer@nmrc.ucc.ie   sak@tc3.ich.us.edu.pl

------
Jan K. Labanowski            |    phone: 614-292-9279,  FAX: 614-292-7168
Ohio Supercomputer Center    |    Internet: jkl@ccl.net 
1224 Kinnear Rd,             |    http://www.ccl.net/chemistry.html
Columbus, OH 43212-1163      |    http://www.ccl.net/



