From chemistry-request@ccl.net Tue Dec 14 09:59:10 2004
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From: =?ISO-8859-1?Q?Nicolas_Ferr=E9?= <nicolas.ferre(at)up.univ-mrs.fr>
Organization: LCTMM
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To: help(at)gaussian.com
Cc: CCL posting <chemistry(at)ccl.net>
Subject: Gaussian03: MP2 before CI or CC
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Dear all,

When you run a CI or CC job with g03, it starts by resolving the HF 
equations. In the next step, the integrals are expressed over MOs and 
then the first-order MP wavefunction (and the second-order MP energy) 
are computed, all of this done in the link 804. Finally, g03 uses these 
informations for the CI or CC job in the link 913.
I would like to find references about this procedure. I guess it is 
related to the Davidson scheme for diagonalizing the CI matrix. But why 
always using the MP wavefunction instead of the HF one ? Is there an 
option in g03 for using the HF wavefunction ?

What is more surprising is that the CI or CC energy depends on the MO 
eigenvalues ! I just slightly modified the code in link 801 for changing 
one eigenvalue (rwf 547) and the final CI or CC energy varies with this 
eigenvalue ! I checked the same behavior on different machines. Can 
someone explain what is happening ? I guess I am missing something but I 
cannot find what.

-- 
  Dr. Nicolas Ferre'
  Laboratoire de Chimie Theorique et de Modelisation Moleculaire
  UMR 6517 - CNRS Universite' de Provence
  Case 521 - Faculte' de Saint-Jerome
  Av. Esc. Normandie Niemen
  13397 MARSEILLE Cedex 20 (FRANCE)
  Tel : (+33)4.91.28.27.33              Fax : (+33)4.91.28.87.58

  Please avoid sending me Word or PowerPoint attachments.
  See http://www.gnu.org/philosophy/no-word-attachments.html


From chemistry-request@ccl.net Tue Dec 14 16:37:28 2004
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From: "Drabik, Piotr" <Piotr.Drabik(at)nrc-cnrc.gc.ca>
To: "'chemistry(at)ccl.net'" <chemistry(at)ccl.net>
Subject: software for supramolecule building and optimization
Date: Tue, 14 Dec 2004 16:53:01 -0500
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This message is in MIME format. Since your mail reader does not understand
this format, some or all of this message may not be legible.

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Dear CCL'ers,

does anyone have any suggestions of a code able to:

(a) build a supramolecule; say, a nanotube or multimeric protein (given the
structure of monomer and symmetry data) and
(b) optimize/relax it with a solvation model (including explicit or implicit
counterions)?

list of pros and cons (open source/commercial; GUI; ease of building a
supramolecular object; robustness of electrostatics treatment, etc.) and
users' opinions & experiences independent of companies' claims would be
appreciated.

thanks,
piotr 

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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 3.2//EN">
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<TITLE>software for supramolecule building and optimization</TITLE>
</HEAD>
<BODY>

<P><FONT SIZE=3D2>Dear CCL'ers,</FONT>
</P>

<P><FONT SIZE=3D2>does anyone have any suggestions of a code able =
to:</FONT>
</P>

<P><FONT SIZE=3D2>(a) build a supramolecule; say, a nanotube or =
multimeric protein (given the structure of monomer and symmetry data) =
and</FONT>
<BR><FONT SIZE=3D2>(b) optimize/relax it with a solvation model =
(including explicit or implicit counterions)?</FONT>
</P>

<P><FONT SIZE=3D2>list of pros and cons (open source/commercial; GUI; =
ease of building a supramolecular object; robustness of electrostatics =
treatment, etc.) and users' opinions &amp; experiences independent of =
companies' claims would be appreciated.</FONT></P>

<P><FONT SIZE=3D2>thanks,</FONT>
<BR><FONT SIZE=3D2>piotr </FONT>
</P>

</BODY>
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From chemistry-request@ccl.net Tue Dec 14 15:07:27 2004
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From: "Jayasree Elambalassery" <jayaeg(at)berkeley.edu>
Subject: NTRerr called from fileIO:gaussian
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Dear CCL users,
I have seen the same questions in CCL, but the replies were missing. Now I am facing these 
problems. I would really appreciate if you help me out though this has been asked many times.
I am doing an MP2(full) transition state optimization and it ends with the following error
*********
  Illegal file or unit passed to FileIO.FileIO: IOper= 1 IFilNo(1)=     0 Len=     1050624 IPos= 
          0 Q=       1343154312


  dumping /fiocom/, unit = 1 NFiles =  --------------
  ----------------------
  Error termination in NtrErr:
  NtrErr Called from FileIO.
***********************
In another optimization at ccsd(t) level using aug-cc-pvdz, I got an error

Semi-Direct transformation.
  Attempt to create subfile not contained in parent.
FileIO: IOper= 4 IFilNo(1)=   201 Len=  1585675872 IPos=           0 Q=      -1073750520


  dumping /fiocom/, unit = 1 NFiles =    7------------
  -------------------
Error termination in NtrErr: NtrErr Called from FileIO.
****************************************************

I have tried increasing the maxdisk and memory. But it didn't help. Can you suggest me something 
to solve this problem?
Thank you very much
Jayasree Elambalassery
University of California
Berkeley.


From chemistry-request@ccl.net Tue Dec 14 17:41:16 2004
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From: Jan K Labanowski <jlabanow-.at.-nd.edu>
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Cc: rbross-.at.-mmm.com, jlabanow-.at.-nd.edu
Subject: Champions of 2nd Industrial Fluid Properties Simulation Challenge
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Dear Colleagues,

      The  2nd Industrial Fluid Properties Simulation Challenge has now
been completed and the champions have been determined.   Awards were
presented in a special session at the Fall National AIChE meeting in Austin
in November.   Could you please find all the details in the attached Press
Release.   In behalf of the NIST and Industrial organizing committee, I
would like to thank all who participated in this effort to further the
development of simulation methods to predict industrially relevant
properties.

With kindest regards,
Rick Ross
3M Company
rbross-.at.-mmm.com
=====================================================
CHAMPIONS ANNOUNCED IN THE SECOND INDUSTRIAL FLUID PROPERTIES
SIMULATION CHALLENGE


FOR IMMEDIATE RELEASE
Contact: Fiona Case
Phone:  (802) 879-3684
Email: Fiona-.at.-casescientific.com

 Scientists and engineers from 3M, BP, Dow Chemical, DuPont,
ExxonMobil, Mitsubishi Chemical, and NIST challenged the molecular
modeling community to predict physical properties of industrially
relevant fluid systems. Contest entrants presented their work, the
champions were announced, and prizes awarded, during a special
session at the AIChE Annual Meeting in Austin, TX. November 7, 2004

Academic groups, research laboratories, and scientific software
companies from around the world were given just over a year to
develop methods for predicting vapor pressures and heats of
vaporization, gas solubility, and enthalpies of mixing for materials
specified by the contest committee. Working in secret, scientists at
NIST and Dow Chemical obtained accurate experimental measurements of
these properties, which were used to judge the predictions made by
the contest entrants.

"The organizing committee managed to raise interest from around the
globe," commented Philippe Ungerer, Institut Frangais du Pitrole
(IFP), France, whose team won the overall "best in show" prize.
"There were entries from almost every continent, including China,
Japan, and from three countries in Europe," he observed.

This second Industrial Fluid Properties Simulation Challenge, which
was organized in conjunction with both the American Institute of
Chemical Engineers (AIChE) Computational Molecular Science and
Engineering Forum, and the Theoretical Subdivision of the American
Chemical Society (ACS) Physical Chemistry Division, was held to
obtain an in-depth and objective assessment of current capabilities
for the prediction of fluid properties, and to promote the use of
molecular modeling in this area. Molecular simulation has been
identified as a promising technology for predicting materials
properties in the Vision 2020 Roadmap for the Chemical Industry.

The problems were closely focused on properties that are
industrially relevant. There were three sections. The first section
challenged entrants to predict vapor pressures and heats of
vaporization for two different materials.  "The heat of vaporization
is an important property in the design of heat exchangers and other
chemical process units," says Jim Olson of Dow Chemical, Midland,
MI, USA "There are a growing number of chemicals whose vapor
pressures and heats of vaporization need to be determined outside
the range of ordinary apparatus. Molecular simulation could offer an
attractive alternative to these difficult laboratory measurements."

The second section challenged molecular modelers to predict the
solubility of gases in liquids - dissolved gases are a key component
of many industrial chemical processes. The last section involves the
prediction of heats of mixing for an amine in both hydrocarbon oil,
and in water, over a range of concentrations at different
temperatures. "One of the premier challenges for modeling thermal
separation processes (e.g. absorption, distillation, extraction) is
the ability to describe activity coefficients over the whole
concentration and temperature range with sufficient accuracy" says
Martin Schiller of DuPont, Germany.

"We were pleased with the level of entries this year," says Raymond
Mountain, NIST, chairman of the organizing committee. "The contest
provides a useful comparison between a number of different molecular
modeling approaches, and some were clearly more successful than
others," he noted.

In the first two problem sets (the prediction of vapor pressures and
heats of vaporization and the prediction of the solubility of gases
in liquids) the various atomistic simulation methods did a fairly
good job, and the best of the predictions were in reasonable
agreement with the experimental data. The first problem set was won
by Professor Richard Elliott and his students from the Department of
Chemical Engineering at the University of Akron. The second problem
set was won by Professor Jeffrey Errington and his students from the
Department of Chemical and Biological Engineering, University of Buffalo, NY.

The last section (prediction of enthalpies of mixing) was won by
Professor Huai Sun and his students from the School of Chemistry and
Chemical Technology at Shanghai Jiao Tong University, Shanghai,
China. "This was certainly the most challenging of the problems, and
we particularly appreciated the two groups that were brave enough to
enter their results," commented Fiona Case, Case Scientific, a
member of the IFPSC organizing committee. "The results showed that
we have some way to go before atomistic simulation methods can be
routinely used for predictions of miscibility, particularly for
aqueous solutions." Sun's group was one of two who entered all three
sections of the contest, using the same method and forcefields to
predict all the different materials properties. "This is important,
since it reflects the way that modeling methods are actually used in
industry," commented Case. "These two groups really entered into the
spirit of the contest, and it was encouraging to see them obtain
reasonably good results across the different materials properties."

The other group which entered all three sections was a European
collaboration involving researchers from Institut Frangais du
Pitrole (IFP), France; Universiti Paris-Sud, France; Universitat
Rovira i Virgili, Tarragona, Spain; and the Commissariat a l'Energie
Atomique in France. This group, headed by Philippe Ungerer, obtained
the best overall score and was awarded the "best in show."

 "Normally you wouldn't see several different groups trying to
predict the same physical properties," commented Anne Chaka, NIST.
"But, this is important if we are to obtain an accurate assessment
of the current capabilities of atomistic scale simulation."


"One of the great things about this contest," commented Joe Golab,
BP Chemicals "is that people were showing results that weren't
particularly good. We wouldn't usually see those results, but it is
important for industry to know what works and what doesn't."

Further information:
The entries will be published in a special edition of the journal
Fluid Phase Equilibria, along with details of the evaluation of the
"recommended values" for each materials property in the contest.
The IFPSC web site: http://www.fluidproperties.org







From chemistry-request@ccl.net Tue Dec 14 11:47:33 2004
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Date: Tue, 14 Dec 2004 11:06:35 -0600
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To: Lily <c-li[at]northwestern.edu>, chemistry[at]ccl.net
Subject: Re: CCL:explicit connectivity for PDB structure in Gaussian
References: <000101c4e175$c38d7f30$56cd6981@chunhui>
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Lily wrote:

>I read a PDB structure into Gaussian and found that the bond order for
>binding ligand is not right. I guess it is because the initial structure
>is not good enough for proximity criteria in Gaussian. Then I wonder how
>to make sure the bond order for both enzyme and substrate is right and
>since it is a big system, it is hard to check manually. 
>I really appreciate if you could let me how to get the right
>connectivity either changing parameter set up or using other package.
>(Prefer free available) 
>
>Thanks a lot,
>
>Lily
>
It appears that OpenBabel (free) will correctly assign bond orders to 
protein residues if you use it to convert your PDB file to mol2 format 
(which stores bond order information in the .mol2 file):
babel -ipdb file.pdb -omol2 file.mol2
http://openbabel.sourceforge.net/

I don't use Gaussian but I presume it's smart enough to use the bond 
order information stored in a mol2 file.

Commercial packages like Insight and Maestro can also assign protein 
bond orders, if you have access to either of those and don't feel like 
compiling OpenBabel... Maestro is nice because if it doesn't recognize a 
particular molecular fragment, it colors it differently from the rest of 
the molecule so you know to check the bond orders.

But unless you are screening a large library of structures, it's best to 
always check your ligands manually, no matter how large they are and 
even if you are using a program which usually gets the bond orders 
right.  You might be surprised at the number of ligands in the PDB that, 
upon close inspection (sometimes it doesn't even require close 
inspection!), appear to have been refined incorrectly because (a) they 
have obvious distortions from the expected geometry, (b) the x-ray 
resolution is low enough that such deviations should be assumed to be 
errors unless otherwise explained and (c) the authors don't bother to 
comment on the origin of the deviations in their paper.

You'll probably want to manually inspect certain types of residues 
anyway, to make sure the protonation states make sense given available 
hydrogen bonding partners, and to correct for slip-ups like glutamines 
and asparagines that need to have their side chain ends flipped to make 
sensible h-bonds.  Some commercial packages automate this task, but I 
would still check the active site area to make sure the results are 
sensible. 

-- 
Eric Bennett, Center for Drug Design, U of Minnesota






