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From: Sangeeta Sawant <sangeeta@bioinfo.ernet.in>
To: Computational Chemistry  List <CHEMISTRY@www.ccl.net>
Subject: looking for search utility using phi-psi data as query.... 
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Hello everybody,

I am looking for a free/shareware utility which:

1. accepts a query in the form of phi-psi dihedral angles of amino acid 
   residues (sequence may or may not be specified),
2. can search a set of 3D structures of proteins for the given query, 
3. can find the matches within a specified range of deviation of the 
   dihedral angles and,
4. list the peptides of matching conformations from the structure data.

If such a utility is available, I would be interested in using it. Any 
help would be welcome and appreciated.

Thanks and best wishes for the new year!

Sangeeta

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
+  Mrs. Sangeeta Sawant                                                   +
+  Research Fellow                     email : sangeeta@bioinfo.ernet.in  +
+  Bioinformatics Centre               phone : +91-20-355039              +
+  University of Pune                  fax   : +91-20-350087              +
+  Ganeshkhind                                                            +
+  Pune - 411007                                                          +
+  India.                                                                 +
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++



From chemistry-request@www.ccl.net  Tue Jan  5 07:22:21 1999
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From: Steven Creve <Steven.Creve@chem.kuleuven.ac.be>
To: Computational Chemistry List <chemistry@www.ccl.net>
Subject: CCL:QSAR
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Hi,

could anyone point me to software packages (both commercial and
non-commercial) for performing QSAR analysis.

thank you.

steven


--------------------------------------------------------------------------
Steven Creve                       steven.creve@chem.kuleuven.ac.be
Labo Quantumchemie
Celestijnenlaan 200F
3001-HEVERLEE                      tel: (32) (16) 32 73 93
BELGIUM                            fax: (32) (16) 32 79 92


From chemistry-request@www.ccl.net  Tue Jan  5 10:26:55 1999
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Subject: SUMMARY: Parallel G98 on x86/Linux
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A couple of weeks ago, I posted the enclosed question about
running Gaussian 98 in parallel on x86/Linux.  Here's the
summary of the responses I got, slightly edited for brevity.

>From these few replies it appears that no one has been
able so far to get G98 to run properly in this setup.

Maybe Gaussian, Inc. could comment on this.  Doug?

A Belated Happy New Year to everyone.

Marc

------------------------------------------------------------------------
 Marc C. Nicklaus                        National Institutes of Health
 E-mail: mn1@helix.nih.gov               Bldg 37, Rm 5B29
 Phone:  (301) 402-3111                  37 Convent Dr, MSC 4255       
 Fax:    (301) 496-5839                  BETHESDA, MD 20892-4255    USA 
      http://rex.nci.nih.gov/RESEARCH/basic/medchem/mcnbio.htm
    Laboratory of Medicinal Chemistry, National Cancer Institute
------------------------------------------------------------------------


####################### QUESTION #######################

According to Gaussian, Inc. (http://www.gaussian.com/parallel.htm),
G98 is available for Shared Memory Parallel execution on [Intel]
Linux systems.

Does anyone have G98 set up like this, and could report some 
performance results?

I am particulary thinking of a Dual-P II 450MHz system, with
G98 compiled with the Portland Group compilers, and using the
tuned BLAS libraries as recommended by Gaussian, Inc.
(see http://www.gaussian.com/g98_req.htm).  This should be 
about the fastest *inexpensive* G98 implementation on
x86/Linux at this time.  (One can certainly get higher
perfomance by using Linda with >2 CPU's, and/or Xeon processors,
but either option would increase the cost substantially.)

If someone has this setup and could run some benchmarks for me
(should be < 1 h), I'd appreciate.


######################## ANSWERS ########################

From: Drake Diedrich <Drake.Diedrich@anu.edu.au>

   If the SMP mode uses standard System V IPC it might be possible to
substitute Distributed IPC (http://wallybox.cei.net/dipc) and run Gaussian
in parallel on an arbitrarily large cluster, not just an SMP.  I'd have to
know something about Gaussian's parallelization strategy to even guess
whether it would be efficient though.

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

From: victor@cti.csic.es

I am trying to compile G98 on such a PentiumII 450MHz dual processor .
At present I am not been able to succesfully compile the code with the
blas-opt libraries tuned for dual processors ( ldblasppro1.1m_11.98.a).
It seems that an unsatisfied reference to pthread_create module aborts
the linking procedure. I think that either the libpthread.a library is 
not searched for or G98 does not support parallel execution in that machine. 
This last point has been suggested to me by Doug Fox , but I do not understand 
it well. Do you have any suggestion to solve the problem ?

On the other hand I have compiled G98 with and without the single
processor blas optimized libraries. I have performed both HF and DFT
single point calculations and obtained similar CPU times with both
executables(!). The %Nproc keyword seems not to work with these executables.
Of course, once I solve the dual processor problem I could perform the 
benchmarking job you asked for.

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

From: JENSAB <jensab@virgil.ruc.dk>

G98 does not execute in parallel on Intel/Linux systems in our hands.
(See the following email to Dr Dough Fox, Gaussian presumably are 
working on it)

Single processor executions however shows quite satisfactory 
cpu preformance (though Gaussian must have some 32 bit 
windows95/98/NT compiler). I am not sure both machines were running 
100 MHz bus speeds, which should affect the IO intensive gaussian jobs.


To:               gaussian.com!fox@lorentzian.com (Doug Fox)
Subject:          Slow g98 on Linux/PGIf77 unable to %NPROC=2
Date sent:        Fri, 30 Oct 1998 15:57:30 +0100

Dear Dr. Doug Fox,

Our Linux/PortlandGroup F77 compiled Gaussian98 cannot run in
parallel. Using a single processor it is somewhat slower than the
corresponding G98W running under windowsNT!!?! Here are the Job cpu
times (in sec.) for single processors execution on dual pentiumII 266
MHz machines running the DFT test Job from M. C. Nicklaus, R. W.
Williams, B. Bienfait, M . Hodocek, J. Chem. Inf. Comput. Sci. Vol
38(5) p 893-905 (1998):

# B3LYP/631G(d) and subsequently # B3LYP/631G(d) GEOM=CHECK GUESS=READ

Job cpu / sec.                  
g98W/NT   8074   1975   
g98/Linux/PGI   8594   2101     + ~ 6 %
g94/Linux/f2c   15300   3845    + ~ 91 %

We do not observe any difference in Job cpu between using:

BLAS = blas.a

and 

BLAS = /usr/local/g98/lib/blas-opt.a /usr/local/g98/lib/blas-f2c.a

lsblaspent1.1d_06.98.a (Pentium) and lsblasppro1.1h_08.98.a
(PentiumPro) yield similar results, while ldblasppro1.1h_08.98.a (dual
PentiumPro) gives compilation errors.

The tests were run with no load on the second cpu, where we have
observed a quite severe cpu time penalty when running two identical
single processor jobs simultaneously (~ 30 - 40 % increase in
Gaussian98 reported "Job cpu" times, which are in close to perfect
agreement with "wall clock" cpu time). This is why we are very
interested in the performance of the parallel version.

Given g98 inability to utilize two processors and the reported
performance, why are we bothering with the UNIX version?? Are we the
only ones having problems with g98 or are reports pouring in?

We are however impressed with the g98W which performs really nicely,
and THIS program now does compare favorably with traditional 64 bit
high-end UNIX workstations and presents a very attractive choice.

Yours Sincerely Jens Abildgaard

The following extracts from 3 different NPROC=2 tests with different
MEM settings (0.5MW, 4.19MW and 4.2MW) leave us, as you may by now
expect, completely in the dark. (the route sections for testb and
testc are identical to testa)

test a: MEM=0.5MW

********************************************
 Gaussian 98:  x86-Linux-G98RevA.3 2-Sep-1998
                 28-Oct-1998 
 ********************************************
 %NPROC=2
 Will use up to    2 processors via shared memory.
 %MEM=500000
 ----------------
 #P B3PW91/STO-3G
 ----------------
 1/38=1/1;
 2/17=6,18=5/2;
 3/11=2,25=1,30=1/1,2,3;
 4//1;
 5/5=2,32=1,38=4,42=-6/2;
 6/7=2,8=2,9=2,10=2,28=1/1;
 99/5=1,9=1/99;
 Leave Link    1 at Wed Oct 28 19:35:38 1998, MaxMem=     500000 cpu: 
      0.3 (Enter /usr/local/g98/l101.exe)
 ---------------------------------------------------------------------
 - Geometri Optimeret i B3PW91/6-311G(d,p) Enol uden intramolekylaeaer
 hyd rogenbindi
 ---------------------------------------------------------------------
 - Symbolic Z-matrix: Charge =  0 Multiplicity = 1 C C                
    1    R1 C                    2    R2       1    V2 C              
      3    R3       2    V3       1    D3       0 C                   
 4    R4       3    V4       2    D4       0 O                    2  
 R5       1    V5       3    D5       0 S                    4    R6  
     3    V6       2    D6       0 H                    6    R7      
 2    V7       1    D7       0 H                    3    R8       2  
 V8       1    D8       0 H                    1    R9       2    V9  
     3    D9       0 H                    1    R9       2    V9      
 3    -D9      0 H                    1    R11      2    V11      3  
 D11      0 H                    5    R12      4    V12      3    D12 
     0 H                    5    R12      4    V12      3    -D12    
 0 H                    5    R14      4    V14      3    D14      0
       Variables:
  R1                    1.50489                  
  R2                    1.36216                  
  R3                    1.43593                  
  R4                    1.5135                   
  R5                    1.33334                  
  R6                    1.65523                  
  R7                    0.96216                  
  R8                    1.08624                  
  R9                    1.09284                  
  R11                   1.09402                  
  R12                   1.0929                   
  R14                   1.09347                  
  V2                  120.67031                  
  V3                  130.03436                  
  V4                  114.89229                  
  V5                  117.33213                  
  V6                  126.32056                  
  V7                  109.49169                  
  V8                  113.95904                  
  V9                  110.80924                  
  V11                 111.7517                   
  V12                 109.68088                  
  V14                 112.9822                   
  D3                  180.                       
  D4                  180.                       
  D5                  180.                       
  D6                    0.                       
  D7                    0.                       
  D8                    0.                       
  D9                   59.77432                  
  D11                 180.                       
  D12                 121.55924                  
  D14                   0.                       
 Leave Link  101 at Wed Oct 28 19:35:39 1998, MaxMem=     500000 cpu: 
      0.6 (Enter /usr/local/g98/l202.exe)
 .
 .
 .
 .
 .
(Enter /usr/local/g98/l502.exe)
 Warning!  Cutoffs for single-point calculations used.
 IExCor= 408 DFT=T Ex=B+HF Corr=PW91 ScaHFX= 0.2000
 ScaDFX=  0.8000  0.7200  1.0000  0.8100
 IRadAn=      0 IRanWt=     -1 IRanGd=            0 ICorTp=0
 Using DIIS extrapolation.
 Closed shell SCF:
 Requested convergence on RMS density matrix=1.00D-04 within  64
 cycles. Requested convergence on MAX density matrix=1.00D-02.
 Requested convergence on             energy=5.00D-05. Integral
 symmetry usage will be decided dynamically. IEnd=     11941 IEndB=   
  11941 NGot=    500000 MDV=    494540 LenX=    494540 Fock matrices
 will be formed incrementally for  20 cycles.

 Cycle   1  Pass 1  IDiag 1:
 Petite list used in FoFDir.
 MinBra= 0 MaxBra= 1 Meth= 1.
 IRaf=       0 NMat=   1 IRICut=       1 DoRegI=T DoRafI=F ISym2E= 1
 JSym2E=1. PrsmSu:  requested number of processors reduced to:   1
 ShMem   1 Linda. E=-0.100792091983499D+04 DIIS: error= 3.65D-01 at
 cycle   1. T= 1004. NK=0  NO(<0.9)=   0  NV(>0.1)=   0  31.00e < EF
 0.00e >EF  Err=8.7D-11 RMSDP=2.12D-02 MaxDP=2.07D-01

 Cycle   2  Pass 1  IDiag 1:
 RMSU=  2.07D-02    CP:  9.61D-01
 PrsmSu:  requested number of processors reduced to:   1 ShMem   1
 Linda. Newton Raphson failed in SizSh1. Error termination via Lnk1e
 in /usr/local/g98/l502.exe. Job cpu time:  0 days  0 hours  0 minutes
  0.0 seconds. File lengths (MBytes):  RWF=   10 Int=    0 D2E=    0
 Chk=    1 Scr=    1 Process number  1 failed to complete. Consistency
 failure #1 in CalDSu. Error termination via Lnk1e in
 /usr/local/g98/l502.exe. Job cpu time:  0 days  0 hours  0 minutes
 15.9 seconds. File lengths (MBytes):  RWF=   10 Int=    0 D2E=    0
 Chk=    1 Scr=    1


test b:MEM=4.19MW
(Enter /usr/local/g98/l502.exe)
 Warning!  Cutoffs for single-point calculations used.
 IExCor= 408 DFT=T Ex=B+HF Corr=PW91 ScaHFX= 0.2000
 ScaDFX=  0.8000  0.7200  1.0000  0.8100
 IRadAn=      0 IRanWt=     -1 IRanGd=            0 ICorTp=0
 Using DIIS extrapolation.
 Closed shell SCF:
 Requested convergence on RMS density matrix=1.00D-04 within  64
 cycles. Requested convergence on MAX density matrix=1.00D-02.
 Requested convergence on             energy=5.00D-05. Integral
 symmetry usage will be decided dynamically. Keep R1 and R2 integrals
 in memory in canonical form, NReq=     1685467. IEnd=     11941
 IEndB=     11941 NGot=   4190000 MDV=   2911014 LenX=   2911014
 Symmetry not used in FoFDir. MinBra= 0 MaxBra= 1 Meth= 1. IRaf=     
 0 NMat=   1 IRICut=       1 DoRegI=T DoRafI=F ISym2E= 0 JSym2E=0.

 Cycle   1  Pass 1  IDiag 1:
 Newton Raphson failed in SizSh1.
 Error termination via Lnk1e in /usr/local/g98/l502.exe.
 Job cpu time:  0 days  0 hours  0 minutes  0.0 seconds.
 File lengths (MBytes):  RWF=   10 Int=    0 D2E=    0 Chk=    1 Scr= 
   1 Process number  1 failed to complete. Consistency failure #1 in
 CalDSu. Error termination via Lnk1e in /usr/local/g98/l502.exe. Job
 cpu time:  0 days  0 hours  0 minutes 17.6 seconds. File lengths
 (MBytes):  RWF=   10 Int=    0 D2E=    0 Chk=    1 Scr=    1


test c: MEM=4.2MW
shmget failed.: Invalid argument









From chemistry-request@www.ccl.net  Tue Jan  5 10:35:17 1999
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Date: Tue, 05 Jan 1999 12:34:05
To: chemistry@www.ccl.net
From: "Dr. Daniel Glossman" <glossman@overnet.com.ar>
Subject: Pop=Bonding calculation
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 Dear netters:

 I have been doing some G94W calculations on several molecules with the
 POP=Bonding keyword, but I don't know how to do an interpretation of 
 the results and the Gaussian 94 manual is not very informative in this
 respect.

 For example, after the title "... Condensed to atoms (all electrons..."
 I got a symmetric matrix with diagonal elements equal to zero. 

 1) What do the numbers mean?
 2) Where do they come from?
 3) Are they related to the so called bond order analysis?
 4) Are there any bibliographic references for the calculation of these
    numbers?

 After that I got the total atomic charges. These charges are different
 from those coming from a traditional Mulliken population analysis in 
 that they are not summed up to the charge of the molecule under study.
 
 Again, 1) What do these charges mean?
 2) What's the meaning of the summation?
 3) Where do these numbers come from?
 4) which are the bibliographic references?


 Thanks in advance for a kind consideration of this request.

 Best regards



					Dr. Daniel Glossman

*****************************************************************************
 Universidad Nacional de Lujan
 Departamento de Ciencias Basicas	e-mail: glossman@overnet.com.ar
 Casilla de Correo 221			phone: (+54) 1 5533797
 (6700) Lujan				fax: (+54) 1 5539824
 Republica Argentina 

****************************************************************************
**

From chemistry-request@www.ccl.net  Tue Jan  5 10:37:21 1999
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From: Bill Hayden <hayden@chemcomp.com>
To: "'Steven Creve'" <Steven.Creve@chem.kuleuven.ac.be>,
        Computational Chemistry List <chemistry@www.ccl.net>
Subject: RE: QSAR
Date: Tue, 5 Jan 1999 10:34:18 -0500
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Dear Dr. Creve,

I noticed you posting on CCL looking for QSAR software.

We have a commercial software package, MOE - the Molecular Operating Environment, that contains QSAR applications and an embedded programming language that allows you to quickly add your own descriptors.  Below is a brief summary of MOE.

MOE - The Molecular Operating Environment

 Chemical Computing Group Inc. has created a very unique tool for Drug Discovery researchers. MOE's uniqueness is due to SVL - Scientific Vector Language which lays at the heart of the package.  SVL is a next generation high-performance data-parallel language.  Due to the incorporation of SVL, MOE can be used in any combination of 3 ways:

 1. Out-of-the-box:  MOE contains a robust set of built-in applications in the areas of High Throughput Screening Data Analysis, Combinatorial Chemistry Library Design, Protein & Homology Modeling, and QSAR as well as traditional modeling and simulation.  

2. Customizable functionality:  As most of MOE's built-in functionality is coded in SVL and you receive the actual source code for most of the built-in applications , you are able to fully customize MOE ranging from additions to the Graphical User Interface to changes in the specifics of the algorithms.

3. Prototyping:  The package includes SVL therefore the user is able to quickly prototype ideas and scientific journal papers at a speed and in a manner not currently available anywhere.

In addition, due to SVL, Chemical Computing Group is able to quickly turnout upgrades and new applications to ensure that you have a software package that keeps pace with advances in science.  

SVL also allows MOE to be a true platform independent package that currently runs native on Sun, SGI, Windows NT, Windows 95, and DEC Alpha NT.  Future plans include porting to the parallel platform.  

This marriage of unique architecture and platform independence makes MOE the ideal corporate deployment vehicle.  One that can change and grow as your science changes and grows.

To sum up, when purchasing MOE users receive:
* All the built-in applications (please see our web page for further details)
* Source code for most of the applications.  This allows you to change both the way the app looks (GUI) and the way it works (algorithms)
* The embedded programming language, SVL, allowing you to create your own applications from ideas or scientific papers
* The executables for all the platform we support

The license is a floating one whereby you sit the license tokens on a server on the network and check the tokens out as needed on the machine of your choice.

I invite you to visit our web site at:  http://www.chemcomp.com for more information.  Please contact me should you have further questions.  hayden@chemcomp.com

Thanks,
Bill

William A. Hayden
Vice President
Chemical Computing Group Inc.
http://www.chemcomp.com
hayden@chemcomp.com
514 393 1055



-----Original Message-----
From:	Steven Creve [SMTP:Steven.Creve@chem.kuleuven.ac.be]
Sent:	January 5, 1999 7:22 AM
To:	Computational Chemistry List
Subject:	CCL:QSAR


Hi,

could anyone point me to software packages (both commercial and
non-commercial) for performing QSAR analysis.

thank you.

steven


--------------------------------------------------------------------------
Steven Creve                       steven.creve@chem.kuleuven.ac.be
Labo Quantumchemie
Celestijnenlaan 200F
3001-HEVERLEE                      tel: (32) (16) 32 73 93
BELGIUM                            fax: (32) (16) 32 79 92


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From: Helmut Heller <hheller@gmx.de>
Date: Mon,  4 Jan 1999 08:24:24 +0100
To: everyone@localnet.hh
Subject: Please note change of my HOME email address
Reply-To: hheller@gmx.de
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Hello,

I will be changing my provider at the end of January 1999 and this will also  
mean that my

OLD email: heller@altoetting-online.de

will no longer be working after that date.



Please make a note of my

NEW email: hheller@gmx.de

which is already effective and which will be the only private email address  
after January 31st, 1999. My work email address (heller@lrz.de) is  
unaffected by this change.

I wish you all a happy new year 1999 and hope to keep in contact with you in  
the future.

Bye,
Helmut


---
Servus, Helmut  (DH0MAD)   ______________NeXT-mail accepted________________
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FAX:   +49-8671-881665     ------------------------------------------------
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From chemistry-request@www.ccl.net  Sun Jan  3 16:08:42 1999
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To: chemistry@www.ccl.net
Subject: Generalizations of Lennard-Jones potential?







I'm programming a simple model that requires being able to represent a
high degree of chemical heterogeneity among interacting particles.  As
a first pass, I would like to model point particles interacting via
spherically symmetrical potentials, with varying interaction
strengths, depending on the "chemical identity" of the particles.

I originally thought of using a Lennard-Jones 6-12 (LJ) potential,
suitably modified to represent various strengths of interaction, but
this has turned out to be a much harder problem than I expected (it
may not be obvious why this would be the case, but it has to do with
certain of the model's requirements.)

Does anyone know of a published study on generalizing the LJ
potential roughly along these lines?

Thanks in advance,

K. Jones

P.S. For the pathologically patient, here's a more detailed account of
the problem.

Fix a characteristic interparticle distance r0.  Let LJ(r) stand for a
standard Lennard-Jones 6-12 potential, with minimum -1 at r = r0, and
let LJR(r) stand for the repulsive part (~ (r0/r)^12) of LJ(r).  Let
U(m, r) stand for the desired generalization of this potential, where
the parameter m is defined as m := U(m, r0).  Ideally, we would like
U(m, r) to satisfy the following requirements:

1. U(m, r) must be continuous in both m and r, and have continuous
derivatives with respect to r of up to no less than order 2.

2. U(-1., r) = LJ(r) (i.e., we must be able to recover LJ(r) as a
special case of U(m, r)).

3. If m < 0 (the partially attractive case), U(m, r) must have exactly
one extremum, a minimum, at r0.

4. If m < 0, we want U(m, r) to "quickly" approximate |m|*LJ(r), as
r->oo.

5. For all m, we want U(m, r) to "quickly" approximate LJ(r) as r->0.

6. U(m, r) must be "not too exorbitant" computationally .

I could make the terms in quotes more precise, but this seems
premature at this stage.  Also, I realize that, most likely, the best
candidate will fit this set of requirements very imperfectly.

The first solution I tried was to use U(m, r) := |m|*LJ(r) for the
partially attractive case (m < 0), and U(m, r) := m*LJR(r) for the
purely repulsive case (m > 0).  This scheme has several serious
drawbacks, notably that it is not continuous at m = 0, and, for small
|m|, does not approach LJR(r) quickly enough as r->0, which translates
to a repulsive core that is too small.

Another partial answer, based on an idea originally proposed by Weeks
et al., (see p. 11 of Allen and Tildesley's "Computer Simulation of
Liquids") is:

For (m <= 0):

               LJ(r) + 1 + m    (r < r0)

  U(m, r) := 

               |m|*LJ(r)        (r >= r0)


The most serious objections to this idea is that it doesn't
readily generalize to the case m > 0.


From chemistry-request@www.ccl.net  Mon Jan  4 11:26:43 1999
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Subject: Pop=Bonding calculation
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 Dear netters:

 I have been doing some G94W calculations on several molecules with the
 POP=Bonding keyword, but I don't know how to do an interpretation of 
 the results and the Gaussian 94 manual is not very informative in this
 respect.

 For example, after the title "... Condensed to atoms (all electrons..."
 I got a symmetric matrix with diagonal elements equal to zero. 

 1) What do the numbers mean?
 2) Where do they come from?
 3) Are they related to the so called bond order analysis?
 4) Are there any bibliographic references for the calculation of these
    numbers?

 After that I got the total atomic charges. These charges are different
 from those coming from a traditional Mulliken population analysis in 
 that they are not summed up to the charge of the molecule under study.
 
 Again, 1) What do these charges mean?
 2) What's the meaning of the summation?
 3) Where do these numbers come from?
 4) which are the bibliographic references?


 Thanks in advance for a kind consideration of this request.

 Best regards



					Dr. Daniel Glossman

*****************************************************************************
 Universidad Nacional de Lujan
 Departamento de Ciencias Basicas	e-mail: glossman@overnet.com.ar
 Casilla de Correo 221			phone: (+54) 1 5533797
 (6700) Lujan				fax: (+54) 1 5539824
 Republica Argentina 

****************************************************************************
**



From chemistry-request@www.ccl.net  Mon Jan  4 13:30:01 1999
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The Laboratory for Informatics and Theoretical Biology (LBIT) is seeking
two postdoctoral trainees: one in the field of RNA 3-D modeling and one
in QSAR.  The LBIT is located at the University of Montreal, Montreal,
Quebec, Canada.  The salaries and conditions are conformed to the MRC
of Canada.  Interested Ph.D. in a related field, such as CS, Biol. Sc.,
Biochem., Chem., etc., with experience in the use of computer softwares
(molecular dynamics, MM/QMM, docking, etc.) or in programming (C++)
are invited to submit their CV to:

Dr. Francois Major
major@iro.umontreal.ca

--
Department of Computer Science
Universite de Montreal
C.P. 6128, Succ. Centre-Ville
Montreal, Quebec H3C 3J7
Canada
(514)343-7091
(514)343-5834 fax
www.iro.umontreal.ca/~major




From chemistry-request@www.ccl.net  Mon Jan  4 14:08:30 1999
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Subject: 5th Chemical Structures Conference - Abstract Submission
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Happy New Year!

!999 has arrived and the Fifth International Conference on Chemical
Structures (June 6-10, 1999) in Noordwijkerhout, The Netherlands, is rapidly
taking shape.  This is just a short reminder that the deadline for
submitting abstracts for oral presentations and/or posters is January 15,
1999.  Details can be found at:

	http://ChemWeb.com/conference/5iccs/5iccs.html

Best regards,
Guenter Grethe
Conference Chair


From chemistry-request@www.ccl.net  Mon Jan  4 20:46:10 1999
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Subject: CERCA - CADD Symposium, Montreal, Apr. 14 - 16
Cc: symposium@cerca



CERCA - Centre for Research on Computation and its Applications

Symposium "New Perspectives for Computer-Aided Drug Design"

Montreal, April 14-16, 1999


Keynote session: John Erickson, NCI; Peter Kollman, UCSF; Yvonne
				    			Martin, Abbott;John
Moult, Maryland; Harel Weinstein,Mount Sinai

Invited and Contributed Sessions

I - Solvation and Environmental Effects:Jia-Li Gao, SUNY, Buffalo;Gerhard
Hummer, Los Alamos;Charlie Brooks, Scripps; Richard Friesner, Columbia

II - Bioinformatics and Structural Predictions: Roland Dunbrack, Fox Chase
Cancer Center;Janice Glasgow, Queen's University;Andrej Sali, Rockefeller
University; Richard Griffey, Isis Pharmaceuticals

Details and registration:   http://www.cerca.umontreal.ca/cadd
Version francaise	    http://www.cerca.umontreal.ca/cmao

Please let us know of any other lists that might like to receive this
information.

The CERCA/Pharmaceutical chemistry group: John Gunn, Francois Major, Benoit
Roux, Dennis Salahub




From chemistry-request@www.ccl.net  Tue Jan  5 19:06:13 1999
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From: "Peter Shenkin" <shenkin@still3.chem.columbia.edu>
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Date: Tue, 5 Jan 1999 19:06:10 -0500
In-Reply-To: kynn@panix.com
        "CCL:Generalizations of Lennard-Jones potential?" (Jan  3,  4:08pm)
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Subject: Re: CCL:Generalizations of Lennard-Jones potential?
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On Jan 3,  4:08pm, kynn@panix.com wrote:
> Subject: CCL:Generalizations of Lennard-Jones potential?

> I'm programming a simple model that requires being able to represent a
> high degree of chemical heterogeneity among interacting particles.  As
> a first pass, I would like to model point particles interacting via
> spherically symmetrical potentials, with varying interaction
> strengths, depending on the "chemical identity" of the particles.
> 
> I originally thought of using a Lennard-Jones 6-12 (LJ) potential,
> suitably modified to represent various strengths of interaction, but
> this has turned out to be a much harder problem than I expected (it
> may not be obvious why this would be the case, but it has to do with
> certain of the model's requirements.)
> 
> Does anyone know of a published study on generalizing the LJ
> potential roughly along these lines?
 ...

You say *what* you want to do, but not *why* you want to do it.

Are you looking for greater accuracy vis-a-vis high-quality experimental
or q-mechanical results?  Are you trying to circumvent overflows in 
monte-carlo simulations when the particles get too close?  Or what?

Don't forget that your accuracy with respect to the Word of God
(quantum mechanics :-) ) is always limited by the neglect of 
3-and-more-body effects.

Still, Tom Halgren, in one of his MMFF papers (J. Comput. Chem., but
I don't have the ref. handy) did a study that led him to the use
of a 7-14 potential with rather complicated combining rules.  Whether or
not you like his solution, he makes careful comparisons between simple
molecular-mechanics nonbonded potentials and highly accurate pairwise-
central potentials that have been derives for specific simple systems.

Also, Tom and others do "buffering" of one kind or anotheer.  The simplest
such scheme is to replace r in the LJ equation by r+a, where a is a small
constant whose value is chosen to have little effect at "typical" distances,
but to avoid computational pathologies if/when r should become close
to zero.  In our era of IEEE arithmetic this particular motivation is
no longer of such great concern, but of course the buffering also changes
the functional form and can be adjusted to achieve a better fit to accurate
data.

Hope this helps,
-P.

-- 
*** "Freedom's just another word for nothing left to lose." (B. Yeltsin)***
*Peter Shenkin; Chemistry, Columbia U.; shenkin@columbia.edu (212)854-5143*
* MacroModel URL: http://www.cc.columbia.edu/cu/chemistry/mmod/mmod.html  *

From chemistry-request@www.ccl.net  Tue Jan  5 19:18:06 1999
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From: frisch@lorentzian.com (Mike Frisch)
Message-Id: <199901060015.TAA05627@holly>
Subject: Re: CCL:G:SUMMARY: Parallel G98 on x86/Linux
To: uunet!helix.nih.gov!mn1@uunet.uu.net (M. Nicklaus),
        chemistry-request@ccl.net
Date: Tue, 5 Jan 1999 13:07:05 -0500 (EST)
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M. Nicklaus writes:
> 
> A couple of weeks ago, I posted the enclosed question about
> running Gaussian 98 in parallel on x86/Linux.  Here's the
> summary of the responses I got, slightly edited for brevity.
> 
> >From these few replies it appears that no one has been
> able so far to get G98 to run properly in this setup.
> 
> Maybe Gaussian, Inc. could comment on this.  Doug?
> 
> A Belated Happy New Year to everyone.
> 
> Marc
> 

There are a number of misconceptions in the replies posted with this message.
Let me explain the situation:

1.  The Linux version can use SMP parallelism for HF and DFT using the usual
    system-V shared memory and unix fork/join calls.  This does not require
    the parallel blas library.  It does require the following:

    a.  A machine with more than one procesor and Linux compiled with SMP support,
        and with the kernel parameter for maximum shared memory segment set
        to some large value (the maximum amount of memory you'll want to give
        G98, typically 3/4 or more of the amount of physical memory on the machine).

    b.  An input deck for a reasonably large job (i.e., not water STO-3G!)
	with %nproc set to requiest more than one processor.  %nproc works
	by default with the Linux version (even on machines with only 1
	CPU), but the default amount of shared memory allowed by the kernel
	is not sufficent to run anything, so jobs with %nproc will fail
	until the kernel is rebuilt with this limit increased.

2.  We have not attempted to build with the Portland compiler and the parallel
    blas library.  We plan to use the thread features of the Portland compiler
    to make our own parallel calls to the (serial) blas library routines, but
    this is not in the current revision of G98.

3.  Some post-SCF jobs spend most of their time in matrix multiplies, which current
    use the serial blas routines and thus are not yet parallelized.

4.  Running efficiently in parallel in 2 CPUs requires twice as much memory
    bandwidth a running on 1 CPU.  Server vendors like SGI, IBM, and
    Digital/Compaq devote considerable effort and cost to having enough
    bandwidth to keep several processors going.  A system with two Intel
    processors but only enough bandwidth to keep one busy is not going to
    run twice as fast in parallel, nor will it run two separate jobs in the
    same elapsed time as a single job.  The observed performance will depend
    strongly on the details of the hardware.

5.  For networks of Linux machines we do support parallelism in HF and DFT
    calculations using Linda, just as for networks with other models of
    workstations.  Linda is required only for network parallelism, not for SMP
    paralleism.

6.  The use of the tuned blas library produces a substantial (serial)
    performance improvement in those jobs which spend a lot of time doing
    matrix multiplies.  It doesn't make much difference for jobs which spend
    their time doing integrals.  So it will make a big difference for QCISD(T)
    but not for HF.

7.  We use the same compiler (Portand) and blas libraries on both Windows/NT
    and Linux, and performance is similar.  The differences in reported times
    are a few percent and probably reflect Linux reporting system time
    overhead (as other unix versions do) while this isn't included on a
    per-process basis under NT.  Elapsed times are sometimes a bit better
    under Linux because of better I/O, but the best summary of the situation
    is that there isn't a signficant performance diffence for running a
    single, stand-alone job under one OS or the other.


Mike Frisch


From chemistry-request@www.ccl.net  Tue Jan  5 22:38:37 1999
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Date: Tue, 5 Jan 1999 21:39:42 -0600 (CST)
From: "Fred P. Arnold" <fparnold@balihai.uchicago.edu>
To: Computational Chemistry List <chemistry@www.ccl.net>
Subject: NBO/NRT and CpM systems
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Hello,

When using NBO on transition metal systems with Cp, the standard routine
prints a structure with a mixture of single and 3-center bonds (C-C-M), at
least for early metals such as Ti.  When attempting to use the Natural
Resonance Theory section of the NBO program, how does one generate a
NRTLST entry (manual specification of reference structure), since the
3Cbond keyword is inoperable?  Should I pick one localized structure, say
a cyclopentadiene with two localized double bonds, and a lone pair on the
carbon not involved, pointing towards the metal, or is there a better way?
This question arises since the default routine is incapable of finding a
non-ionic structure on my system (CpL2TiR), and therefore NRT fails with a
thud, and without writing even the ionic structure as a starting point.

Thank you for your time.

							-fred

                                        Frederick P. Arnold, Jr.  
 "...But if you give theorists enough   Advanced Research Systems     
  time, they can predict anything."     5640 S. Ellis Ave             
        Dr. M. S. Turner, U. Chicago.   Chicago, IL 60637             




