Dear Amber users,
I am pleased to announce the release of a new q4md-forcefieldtools
service: R.E.D. Python interfaced by R.E.D. Server Development at
http://q4md-forcefieldtools.org/REDS-Development/.
R.E.D. Server Development is the Internet service, that provides the
hardware and software for charge derivation, force field library
building and force field parameter generation; see
http://q4md-forcefieldtools.org/REDS-Development/faq.php.
R.E.D. Python is the program, that performs charge derivation, force
field library building and force field parameter generation. R.E.D.
Python gives researchers the means to rigorously generate molecular
electrostatic potential-based empirical force fields for new molecules
allowing their direct validation and/or use in molecular dynamics
simulations. In the current release the additive AMBER and GLYCAM
force field models are fully handled by R.E.D. Python, although
features related to the non-additive model are already implemented.
Charge models designed for the OPLS force field and used by CHARMM are
also available. R.E.D. Python handles force field generation for a
large ensemble of new molecules and molecular fragments. The approach
is particularly suited for polymer modeling (biopolymers such as
proteins, nucleic acids, glyco-conjugates and their bioinorganic
complexes, as well as functionalized and non-functionalized cabon
nanotubes). All the elements of the periodic table are handled by the
service. More generally, the full list of tasks performed by R.E.D.
Server Development/R.E.D. Python is reported at
http://q4md-forcefieldtools.org/REDS-Development/news.php.
A demonstration is available from the “Demo” service at the R.E.D.
Server Development home page; see
http://q4md-forcefieldtools.org/REDS-Development/RED-Server-demo1.php;
the data of this demonstration correspond to the R.E.DD.B. project
available at
http://q4md-forcefieldtools.org/REDDB/projects/W-46/.
A new version (version 2.4) of the RESP program is executed, and new
charge models are proposed based on chemical equivalencing, chemical
averaging with or without hyperbolic or quadratic restraints; see
http://q4md-forcefieldtools.org/REDS-Development/popup/popkeyword.php.
RESP 2.4 can be downloaded at
http://q4md-forcefieldtools.org/RED/resp/.
A direct application of the use of R.E.D. Python is the generation of
the Sanders et al. force field for the peptide nucleic acid
biopolymer; See
http://pubs.acs.org/doi/abs/10.1021/jp4064966 and the
corresponding project in R.E.DD.B.
http://q4md-forcefieldtools.org/REDDB/projects/F-93/.
The persons involved in this project are:
F. Wang: (1) PhD student & developer of R.E.D. Python
J.-P. Becker: (1) Developer of the version 2.4 of RESP
P. Cieplak: (2) co-Principal Investigator
F.-Y. Dupradeau: (1) co-Principal Investigator
(1) Universite de Picardie Jules Verne, Amiens, France
(2) Sanford | Burnham Medical Research Institute, La Jolla, CA, USA.
The q4md-forcefieldtools project is developed in the context of a
joined french-USA collaboration between the Universite de Picardie -
Jules Verne and the Sanford | Burnham Medical Research Institute, and
is funded by the Conseil Regional de Picardie and the European
Regional Development Fund.
regards, Francois
F.-Y. Dupradeau
---
http://q4md-forcefieldtools.org/FyD/
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Received on Fri Nov 22 2013 - 03:00:02 PST
