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Dear Members,

I am looking for theoretical studies on hydrogenolysis of S-S bonds
of sulfides. Does anybody know some references ?.
Thanks a lot.

François Hutschka
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Mike, Dave and Doug (..etc)

We're having an unusual problem here with transition state optimization
of a medium-sized molecule using opt=(ts,ef).  The geometry seems
correct in terms of Z-matrix variables, and will go through an FOPT
cycle in which the attacking species simply moves away from the
reactant.  When opt=ts is attempted, the "Wrong Number of Negative
Eigenvalues" message comes up, but I'm not too surprised about that. 
Usually, we've had good luck with the EF mode-walking approach when
other things fail.  In this case, the EF mode-walking fails with a
message that says: "Initef fails: Wrong number of Degrees of Freedom
(Supposed to be 1-50 but 54 are found)".  What's up here? Any advice
would be appreciated.

Curt Breneman
RPI Chemistry

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From: David Young <youngd2@mail.auburn.edu>
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Hello all,

	I have written the following short essay for my users and am 
posting it here for your enjoyment and comments.  I didn't find as 
many review articles as I wanted, so I would appreciate any references
to QM/MM review literature.  Thanks.

	My compilation of chemical topics can be accessed via the web 
at URL http://www.auburn.edu/~youngd2/topics/contents.html

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

                                   QM/MM

                                 David Young

                           E-mail: dyoung@asc.edu

                    Alabama Research & Education Network
                        Nichols Research Corporation
                      Division of University Computing
                               144 Parker Hall
                              Auburn University
                              Auburn, AL 36849

Various computational methods have strengths and weaknesses. Molecular
mechanics can model very large compounds quickly. Quantum mechanics is able
to compute many properties and model chemical reactions. It is possible to
combine these two methods into one calculation, which models a very large
compound using molecular mechanics and one crucial section of the molecule
with quantum mechanics. This is designed to give results that have very good
speed where only one region needs to be modeled quantum mechanically. This
can also be used to model a molecule surrounded by solvent molecules.

1 Non-automated procedures

The earliest combined calculations were done simply by modeling different
parts of the system with different techniques. For example, some crucial
part of the system could be modeled by using an ab initio geometry optimized
calculation. The complete system could then be modeled using molecular
mechanics, by holding the geometry of the initial region fixed and
optimizing the rest of the molecule.

This procedure gives a geometry for the whole system, although there is no
energy expression that reflects non-bonded interactions between the regions.
One use is to compute the conformational strain in ligands, which is
important in determining the possibility of binding. In order to do this,
the central portion is removed from the calculation, leaving just the
ligands in the geometry from the complete system. Two energy calculations on
these ligands are then performed, one without geometry optimization and one
with geometry optimization. The difference between these two energies is the
conformational strain that must be introduced into the ligands in order to
form the compound.

Another technique is to use an ab initio method to parameterize force field
terms specific to a single system. For example, an ab initio method can be
used to compute the reaction coordinate for a model system. An analytic
function can then be fitted to this reaction coordinate. A molecular
mechanics calculation can then be performed with this analytic function
being used to describe the appropriate bonds, etc.

2 Partitioning of Energy

Quantitative energy values are one of the most useful results from
computational techniques. In order to have a reasonable energy expression
when two calculations are combined, it is necessary to know not only the
energy of the two regions, but also the energy of interaction between those
regions. There have been a number of energy computation schemes proposed.
Most of these schemes can be expressed generally as

                     E = EQM + EQM/MM + Epol + Eboundary

The first two terms are the energies of the individual computations. The
EQM/MM term is the energy of interaction between these regions, assuming
that both regions remain fixed. It may include Van der Waals terms,
electrostatic interactions, or any term in the force field being used. Epol
is the effect of either region changing as a result of the presence of the
other region, such as electron density polarization or solvent
reorganization. Eboundary is a way of representing the effect of the rest of
the surroundings, such as the bulk solvent. The individual terms in EQM/MM,
Epol, and Eboundary are discussed in more detail in the following section s.

2-1 Van der Waals

Most of the methods proposed include a van der Waals term for describing
non-bonded interactions between atoms in the two regions. This is usually
represented by a 6-12 potential of the form

                                       12      6
                             EVdW = A/r   - B/r 

The parameters A and B are those from the force field being used. A few
studies have incorporated a hydrogen bonding term also.

2-2 Charge

The other term that is very widely used is a Coulombic charge interaction of
the form

                           ECoulomb = Qi Qj / rij

The subscripts i and j denote two nuclei, one in the QM region and one in
the MM region. The atomic charges for the MM atoms are obtained by any of
the techniques commonly used in MM calculations. The atomic charges for the
QM atoms can be obtained by a population analysis scheme. Alternatively,
there might be a sum of interactions with the QM nuclear charges plus the
interaction with the electron density, which is an integral over the
electron density.

2-3 Describing bonds between regions

If the QM and MM regions are separate molecules, having non-bonded
interactions only might be sufficient. If the two regions are parts of the
same molecule, it is necessary to describe the bond connecting the two
sections. In most cases, this is done using the bonding terms in the MM
method being used. This is usually done by keeping every bond, angle or
torsion term that incorporates one atom from the QM region. Alternatively, a
few studies have been done in which a separate orbital based calculation was
used to describe each bond connecting the regions.

2-4 Polarization

The energy terms above allow the shape of one region to affect the shape of
the other and include the energy of interaction between regions. However,
these non-bonded energy terms assume that the electron density in each
region is held fixed. This can be a reasonable approximation for covalent
systems. This is a poor approximation where the QM region is being
stabilized by its environment, as is the case with polar solvent effects.

Polarization is usually accounted for by computing the interaction between
induced dipoles. The induced dipole is computed by multiplying the atomic
polarizability by the electric field present at that nucleus. The electric
field used is often only that due to the charges of the other region of the
system. In a few calculations, the MM charges have been included in the
orbital based calculation itself as the interaction with point charges.

2-5 Solvent reorientation

Many of the methods define an energy function, then use that function for
the geometry optimization. However, there are some methods that use a
minimal coupling between techniques for the geometry optimization, then add
additional energy corrections to the single point energy. In the latter
case, some researchers have included a correction for the effect of the
solvent molecules reorienting in response to the solute. This is not a
widespread technique mostly because there is not a completely rigorous way
to know how to correct for solvent reorientation.

2-6 Boundary terms

It is sometimes desirable to include the effect of the rest of the system,
outside of the QM and MM regions. One way to do this is using periodic
boundary conditions, as is done in liquid state simulations. Some
researchers have defined a potential, which is intended to reproduce the
effect of the bulk solvent. This solvent potential may be defined just for
this type of calculation, or it may be a continuum solvation model. For
solids, a set of point charges, called a Madelung potential is often used.

3 Energy subtraction

An alternative formulation of QM/MM is the energy subtraction method. In
this method, calculations are done on various regions of the molecule with
various levels of theory. Then the energies are added and subtracted, to
give suitable corrections. This results in computing an energy for the
correct number of atoms and bonds, analogous to an isodesmic strategy.

Three such methods have been proposed by Morokuma and co-workers. The
integrated MO + MM (IMOMM) method combines an orbital based technique with
an MM technique. The integrated MO + MO method (IMOMO) integrates two
different orbital based techniques. The "our own n-layered integrated MO and
MM" method (ONIOM) allows for three or more different techniques to be used
in successive layers. The acronym ONIOM is often used to refer to all three
of these methods since it is a generalization of the technique.

This technique can be used to model a complete system as a small model
system and the complete system. The complete system would be computed using
only the lower level of theory. The model system would be computed with both
levels of theory. The energy for the complete system, combining both levels
of theory, would then be

                E = Elow,complete + Ehigh,model - Elow,model

Likewise a three layer system, could be broken into small, medium, and large
regions, to be computed with low medium and high levels of theory (L, M, H
respectively). The energy expression would then be

         E = EH,small + EM,medium - EM,small + EL,large - EL,medium

This method has the advantage of not requiring a parameterized expression to
describe the interaction of various regions. Any systematic errors in the
way that the lower levels of theory describe the inner regions will be
canceled out. The geometry of one region will affect geometry of the other,
because this is not a systematic effect. Assuming transferability of
parameters, this method avoids any over counting of the non-bonded
interactions.

The disadvantage is that the lower levels of theory must be able to describe
all atoms in the inner regions of the molecule. The effect of one region of
the molecule causing polarization of the electron density in the other
region of the molecule is incorporated only to the extent that the lower
levels of theory describe polarization. This method requires more CPU time
than most of the others mentioned. However the extra should be minimal since
it is due to lower level calculations on smaller sections of the system.

4 Self consistent method

Bersuker and coworkers have proposed a technique where by the atoms on the
boundary between regions are included in both calculations. In this
procedure, optimizations are done with each method, using the boundary atom
charge from the other method and this is repeated until the geometry is
consistent between the levels of theory. They specify that the boundary atom
cannot be part of a pi bridge between regions.

5 Truncation of the QM region

Molecular mechanics methods are defined atom by atom. Thus having a carbon
atom without all of its bonds does not have a large affect on other atoms in
the system. In contrast, quantum mechanical calculations use a wave function
that can incorporate second atom effects. An atom with a nonfilled valence
will behave differently than with the valence filled. Because of this, one
must consider the way in which the quantum mechanical portion of the
calculation is truncated.

A few of the earliest methods did truncated the atom on the dividing line
between regions. Leaving this unfilled valence is reasonable only for a few
of the very approximate semiempirical methods that were used at that time.

A number of methods fill the valence of the interface atoms with an extra
orbital, sometimes centered on the connecting MM atom. This results in
filling out the valence while requiring a minimum amount of additional CPU
time. The concern, which is difficult to address, is that this might still
result in affecting the chemical behavior of the interface atom or even
inducing a second atom affect.

The other popular solution is to fill out the valence with atoms. Usually, H
atoms are used, although pseudo-halide atoms have been used also. These
pseudo-halide atoms are parameterized to mimic the behavior of the MM atom
it is substituted for. These extra atoms are called "link atoms" or
"junction dummy atoms". The link atoms are not included in the energy
expression used to describe the interaction between the regions of the
system. The use of link atoms is somewhat questionable, since they are often
not subtracted from the final energy expression and may polarize the QM
region incorrectly.

6 Region partitioning

The choice of where to locate the boundary between regions of the system is
important. A number of studies have shown that very poor end results will be
obtained if this is chosen improperly. Any bonds, which are being formed or
broken, must be entirel y in the QM region of the calculation. Also, any
section changing hybridization should be entirely in the QM region.
Furthermore, it is best to keep conjugated or aromatic sections of the
system completely in one of the regions. Where second or third atom effects
are expected to be important, those atoms should be in the same region of
the calculation.

7 Optimization

The more recently developed methods define an energy expression for the
combined calculation, then use that expression to compute gradients for a
geometry optimization. Some of the earlier methods would use a simpler level
of theory for the geometry optimization, then add additional energy
corrections to a final single point calculation. The current generation is
considered to be the superior technique.

8 Incorporating QM terms in force fields

Rather than doing several complete calculations with an additional
interface, it is possible to incorporate orbital based terms in a molecular
mechanics method. The first methods for doing this incorporated simple
Huckel or PPP semiempirical models to help describe pi system conjugation
and aromaticity. There are also techniques for incorporating crystal field
theory or ligand field theory type descriptions of transition metals, which
have proven to be difficult to model entirely with molecular mechanics.

9 Recommendations

To date there have not been any large-scale comparisons of QM/MM models in
which many different techniques were compared against each other and
experimental results for a range of chemical systems. There does tend to be
some preference towards the use of link atoms in order to insure the correct
chemical behavior of the quantum mechanical region. Researchers are advised
to consider the physical consequences of the effects which are included or
excluded from various methods, as applied to their specific system. It is
also prudent to verify results against experimental evidence where possible.

Bibliography

Introductory descriptions are in
A. R. Leach "Molecular Modelling Principles and Applications" Longman, Essex
(1996).
K. P. Eurenius, D. C. Chatfield, B. R. Brooks, M. Hodoscek, Int. J. Quantum
Chem. 60, 1189 (1996).
J. Gao, Acc. Chem. Res. 29, 298 (1996).

Reviews of QM/MM are
J. Gao, "Reviews in Computational Chemistry Volume 7" K. B. Lipkowitz, D. B.
Boyd, Eds., 119, VCH, New York (1992).
A. Warshel, "Computer Modeling of Chemical Reactions in Enzymes and
Solutions" Wiley, New York (1991).
E. Clementi, "Computational Aspects for Large Chemical Systems" Springer,
New York (1980).

Papers describing methods that incorporate modified orbitals are
J. Gao, P. Amara, C. Alhambra, J. J. Field, J. Phys. Chem. A 102, 4714
(1998).
V. Théry, D. Rinaldi, J.-L. Rivail, B. Maigret, G. G. Ferency, J. Comput.
Chem. 15, 269 (1994).
A. Warshel, M. Levitt, J. Molec. Biol. 103, 227 (1976).

Methods describing methods using link atoms are
M. J. Field, P. A. Bash, M. Karplus, J. Comput. Chem. 11, 700 (1990).
U. C. Singh, P. A. Kollman, J. Comput. Chem. 7, 718 (1986).

Energy subtraction methods are described in
M. Svensson, S. Humbel, R. D. J. Froese, T. Matsubara, S. Sieber, K.
Morokuma, J. Phys. Chem. 100, 19357 (1996).
S. Humbel, S. Sieber, K. Morokuma, J. Chem. Phys. 105, 1959 (1996).
F. Maseras, K. Morokuma, J. Comput. Chem. 16, 1170 (1995).

The self consistent method is
I. B. Bersuker, M. K. Leong, J. E. Boggs, R. S. Pearlman, Int. J. Quantum
Chem. 63, 1051 (1997).

Methods incorporating orbital based terms in molecular mechanics force
fields are described in
P. Comba, T. W. Hambley, "Molecular Modeling of Inorganic Compounds" VCH,
New York (1995).
V. J. Burton, R. J. Deeth, J. Chem. Soc., Chem. Commun. 573 (1995).
P. Comba, M. Zimmer, Inorg. Chem. 33, 5368 (1994).
N. L. Allinger, J. T. Sprague, J. Am. Chem. Soc. 95, 3893 (1973).






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Subject: Postdoc position
To: CHEMISTRY@www.ccl.net
Date: Wed, 9 Dec 1998 23:01:56 -0500 (EST)
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Dear CCLers,

the following is from a friend of mine who is looking for a postdoc.
Please forward this to whoever might be interested.

Thank you!

Michael


---------------------------------------------
Dr. Michael Schimeczek
Supercomputer Computations Research Institute
496 Dirac Science Library
Florida State University
Tallahassee, Florida 32306-4130, USA
phone: (850) 644-7060
fax:   (850) 644-0098
email: schimec@scri.fsu.edu
---------------------------------------------


----- Forwarded message from Hagai Meirovitch <hagai@scri.fsu.edu> -----


*************************************************************
*                                                           *
* POSTDOCTORAL POSITION IN COMPUTATIONAL STRUCTURAL BIOLOGY *
*                                                           *
*************************************************************

    A postdoctoral position in Computational Structural 
    Biology is available in the Supercomputer Computational 
    Research Institute (SCRI) at Florida State University, 
    Tallahassee, Florida. The candidate will take part in 
    developing a theoretical methodology for analyzing data 
    of flexible peptides and loops in proteins obtained by 
    multidimensional NMR and X-ray crystallography. 
    The project involves development of conformational search 
    techniques, methods for calculating the free energy, 
    and continuum solvation models. Monte Carlo and molecular 
    dynamics simulations will be heavily used. The new computational 
    tools will also be applied to problems in homology and 
    threading. Experience with the above topics is desirable, 
    and familiarity with software packages such as AMBER or 
    GROMOS is an advantage. 

    Please send resume by mail, e-mail or fax, and  
    two letters of recommendation to Dr. Hagai Meirovitch, SCRI, 
    Florida State University, Tallahassee, Fl 32306-4130. 

     Fax: 850-644-0098, E-mail: hagai@scri.fsu.edu

 



----- End of forwarded message from Hagai Meirovitch -----

