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Quite a while ago I sent the following message regarding the package
LEAPFROG de novo design

here is are some of the the replies:


ORIGINAL EMAIL !

Dear All,

I am trying to find people with experience in using LEAPFROG to suggest
lead affinity peptides.  

The big question - does this work at all ?? 

What is is the best way of sifting out the definate non-running peptides
before synthesis ? 

Is it worth seeing if one of the low energy conformations of the peptide is
close to the one required to provide interaction with the binding site -
i.e the one suggested by the lead finding program.


Your Comments would be greatfuly appreciated,

Thanks

Richard D.

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

Hello Richard

I've been looking at Leapfrog's peptide method recently as a reasonable way
of coming up with readily synthesizable ligands for a crystal structure of
an unligated receptor.

>Dear All,
>
>I am trying to find people with experience in using LEAPFROG to suggest
>lead affinity peptides.
>
>The big question - does this work at all ??

(A) Does it work in producing reasonable peptides which seem to fit well in
to the site of interest?

Yes and no.  It has great potential, but in our hands we find the
ionization states of Asp, Arg etc unacceptable and further, it does not cap
the termini appropriately.  Coincidentally, Steve Bowless from Tripos was
out here yesterday and I talked to him about this and it seems he wants
this fixed, as it should be easy to do and will greatly improve results.

(B)Does the set of compounds it comes up with represent an improved set
over random peptides? (i.e. do more of the compounds that leapfrog thinks
will bind better actually bind better?)

Because of the capping problem, the interaction energy estimate doesn't
mean much.  Even when this is fixed, it has to be realized that the binding
estimate is extremely crude, so one would think about testing the top 100
peptides perhaps, rather than just the top 10.  Nevertheless, by virtue of
the fact basic steric and crude electrostatic matches are passed in this
set, I would think it would be a better quality set than a random set.  The
problem is here,  how many false negatives are we missing because crude
treatment of receptor flexibility: no protein x-ray structure for which
there is high res data is exactly the same at that with its complex
(Murcko, Rev. Comp. Chem.)?

One thing I want to look at is passing the Leapfrog set through a secondary
scoring function, involving HINT (G.Kellogg), or VALIDATE (Marshall), as
these really might be more meaningful.

One problem I have about the Tripos fitting functions is that relative to
Kuntz's DOCK, electrostatic interaction seem to be over-emphasized relative
to a good geometric fit.  I think of the fit as the primary thing, and
electrostatics second, but if you have Arg and Asp, this interaction
dominates in Leapfrog.  I spoke to Steve Bowless about this and he's going
to look into it.  If it works, the best workaround will be to scale down
the contribution of electrostatics by setting the dielectric to a high
distance value, but we don't know yet if Leapfrog looks at what one has set
for this.

>What is is the best way of sifting out the definate non-running peptides
>before synthesis ?
>
>Is it worth seeing if one of the low energy conformations of the peptide is
>close to the one required to provide interaction with the binding site -
>i.e the one suggested by the lead finding program.
>
>
A worthwhile thing to do here would be to write an SPL macro to prioritize
the hitset according to the number of "allowed" versus "disallowed" phi and
psi angles etc.

It is suprising, but as far as I know, there has been no study to look at
the success of this sort of approach.  It would be very interesting to
screen a few thousand tripeptides and screen a 100 Leapfrog tripeptides and
compare and publish the results.  Or, take a known peptide ligand (e.g.
RGD) and see if Leapfrog comes up with it if one has a reasonable starting
site geometry.

Jonathan Baell

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

Dear Richard, 

My major is strcuture-based drug design and I know something about 
LEAPFROG. 

Your question is actually the most vital in the area of structure-based
drug design: can we predict the activity before we do the experiment? 
Unfortunately the answer at present is "we cannot always do that". 

LEAPFROG is often criticized for its naive scoring method. My suggestion
is: do not trust its ranking of the candidate molecules. But LEAPFROG is a
good tool to build molecules within the binding pocket of the target.  At
least the molecules generated have relatively good shapes complementary to
the binding pocket. You can choose yourself the molecules which seem to be
plausible and make necessary modifications on the structure to enhance the
interaction between the receptor and the ligand. Of course, it will 
depend on your own expertise. 

So you see why we always talk about "computer-aided drug design" rather 
than "computer-done drug design".

Hope these help.

Good luck.

Arthur


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



From chemistry-request@www.ccl.net  Fri Jan 22 03:58:32 1999
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Date: Fri, 22 Jan 1999 09:57:06 +0100
From: Ferenc Csizmadia <fcsiz@chemaxon.com>
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A few weeks ago I asked your opinion about future trends in chemical
software development.

The first responses have already been published in CCL
(ftp://www.ccl.net/pub/chemistry/archived-messages/99/01/10)

The second batch follows:

11. ====

The summary you posted contained many interesting good ideas. I was
disappointed, however, in that most of the answers focused on the needs
of computational chemists rather than the needs of chemists in general.
Typical answers of the former type were "development of hot new method"
and "porting software to hot new machine".

Computational chemistry can impact chemistry in two ways: 1) by making
larger numbers of people into computational chemists, i.e., chemists who
enjoy spending lots of time with a computer and never go into the lab,
and 2) by providing "lab" chemists with useful information for their
work. I think the latter is more important in the long run.
Computational chemists and software developers certainly need to look at
ways of making their software more powerful, more friendly, more
portable, etc., but it won't count for much unless they also find ways
to make computations more relevant.

-Alan

-----------------
Alan Shusterman
Department of Chemistry
Reed College
www.reed.edu/~alan


12. ====

> It seems nearest future trends in chemistry are more or less visible. 
> To make it short: Biology, Biochemistry and related topics.
> 
   With regard to this discussion, I would like to add that the REASON
why
computational approaches and software are so enticing in biology,
biochemistry, etc. is because of the difficulty in obtaining
high-quality
experimental data -- quickly and at low cost.  The suggestion was made
later in this discussion that if one wanted to start a new software
project that one should look at structural biochemistry.

   I don't think that someone starting a new software project should
necessarily limit themselves to this one area.  There are many pressing
needs in biology, biochemistry and molecular medicine OTHER than in
structural modeling.  There are many pressing needs in other areas of
chemistry and engineering.  Certainly, a software developer should also
NOT neglect to examine the development of low-cost "user-friendly" 
software for data acquistion and control of analytical and chemical
instrumentation.

   If profit and funding are the sole criteria for determining what
software/computational project to start, then our accomplishments as
scientists are doomed.  I don't think that someone starting a new
project
should fall victim to the "bandwagon effect".  From a business
standpoint, it is difficult for a new software developer to break into a
saturated market.  It seems that profit and funding are the result of
how
we PROMOTE the results or application of the work to a potential grant
agency, industrial user, etc.  Our prime consideration in the work done
should be how IMPORTANT is the problem solved or the application.

Respectfully,
Anita I. Zvaigzne
<aiz0001@jove.acs.unt.edu>

13. ====


Please keep in mind that PC does not mean Microsoft !
There have been several statements that want to get programs ported to
Windows to be able to run them on "cheap" PC-hardware.
Since there are many OSs that run these programs on exactly that cheap
hardware, I would not see this urgent need for porting but would like
the
programs to be enhanced in functionality !

PS: I know at least 10 OSs of very different flavour running on exactly
this PC
hardware, of which MS_DOS(+Win3.1+Win9x) and Windows NT are only two,
and will
be only one really soon, since the DOS branch is declared death already
by
Microsoft.
Moreover basically all of this can be installed in parallel on the same
machine.

So I would strongly suggest to work on the science part of the programs,
not
the operating system topics.

Greetings,
Jochen
-----------------------------------------------------------------------
  Jochen K"upper

  Heinrich-Heine-Universit"at D"usseldorf   jochen@uni-duesseldorf.de
  Institut f"ur Physikalische Chemie I
  http://www-public.rz.uni-duesseldorf.de/~jochen

14. ====

Of particular interest to me, at any rate, would be developments 
in ab initio codes for handling "condensed phase" effects such as
solvation in liquids and lattice effects in solids. For example,
how is the potential energy surface for internal motion of a 
molecule/ion/radical affected by 1) H-bonding in solution, 
2) trapping in e.g. a zeolite, 3) lattice constraints in a 
molecular solid? In principle, of course, all these systems can
be handled completely at whatever level of calculation is appropriate,
but it would be nice to have ab initio software with a selection
of schemes which allow emphasis on the detailed electronic structure
at the "focal point" of the calculation and on a lower level of detail
(i.e. forces and dynamics) elsewhere. 

Regards,

Rod Macrae

-------------------------------------------------
Dr. R. M. Macrae
Muon Science Laboratory
Institute of Physical and Chemical Research (RIKEN)
<macrae@rikaxp.riken.go.jp>

=============

Thank you for the contributions.

Ferenc

~~~~~~
Ferenc Csizmadia, Ph.D.
ChemAxon Ltd.
Valyog u. 7, H-1032 Budapest, Hungary
http://www.chemaxon.com
T:+3620 9570988
mailto:fcsiz@chemaxon.com


From chemistry-request@www.ccl.net  Fri Jan 22 08:48:23 1999
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Date: Fri, 22 Jan 1999 14:47:04 +0100
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___________________________________

WINTER-WORKSHOP "REACTION DYNAMICS"
       MARIAPFARR  (AUSTRIA)
___________________________________

LAST CIRCULAR:
 
The 1999 Theoretical Chemistry Winter-Workshop of the Austrian
Chemical Society 
in Mariapfarr (a resort in the Austrian Alps) 
will take place from 16 to 19 February. 
Registration is still open until January 31.

The 1999 workshop includes lectures on "Reaction Dynamics" and a
mini-symposium open to all fields of theoretical chemistry. 

Lecturers:
G.G. Balint-Kurti (Bristol): Time-Dependent Wavepacket Calculations in
Reactive Scattering

G.D. Billing (Copenhagen): A. Overview of Reactive Scattering
                           B.  Mixed Quantum-Classical Dynamics 

R. Jaquet (Siegen): Quantum Reactive Scattering: The Time-independent
Approach 

U. Manthe (Freiburg): Reaction Rates

For details of the program, informations on the scope and format of the
workshop and on Mariapfarr, and for all matters related to registration
and accomodation, see the Mariapfarr-Homepage at

http://www.kfunigraz.ac.at/tchwww/sax/mariapfarr/index_eng.html

Werner Jakubetz  
_______________________________________________________________

Prof. Werner Jakubetz
Institute for Theoretical Chemistry and Radiation Chemistry
University of Vienna, Austria

Address: Währingerstrasse 17
         A-1090 Wien
         Austria
Phone:   +43-1-4277-52758
Fax:     +43-1-4277-9527
email:   werner.jakubetz@univie.ac.at
_______________________________________________


From chemistry-request@www.ccl.net  Sun Jan 24 15:49:32 1999
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Subject: Smallest peptide with Structure (fwd)
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Hello.

I was wondering what is the minimum number of amino acids required to
construct a distinct seconday/tertiary structure in solution. I thought
that there exist some brain hormones that are composed of no
more that 15 or so amino acids.

Your thoughts and particular references would be appreciated.

Thanks in advance.

Iraj.

Iraj Daizadeh, Ph. D.
Harvard University
Department of Cellular and Molecular Biology
The Biological Laboratories, Box #140
16 Divinity Avenue
Cambridge, MA 02138
Phone: (617) 495-0783
       (617) 495-0560
Fax:   (617) 496-4313
Email: daizadeh@fas.harvard.edu




