Path: utzoo!utgpu!news-server.csri.toronto.edu!bonnie.concordia.ca!uunet!mixcom!mmvvmm
From: mmvvmm@mixcom.COM (Daniel Offutt)
Newsgroups: bionet.molbio.proteins
Subject: Protein folding by a combination of methods
Summary: Query about synthesis of molecular dynamics with neural net methods.
Keywords: protein folding, molecular dynamics, neural networks
Message-ID: <721@mixcom.COM>
Date: 9 May 91 17:04:34 GMT
Organization: Milwaukee Information eXchange (Public access Usenet, Email)
Lines: 10

Has there been any work on combining molecular dynamics simulation approaches
to protein folding with neural network methods?  I do not mean by this a
staged approach where, for example, a neural network predicts secondary
structure, and then a folding simulation program finishes the task.  I mean
a folding simulation program that has been parameterized with "weights" and
then trained to fold proteins better using a protein structure database for
training data.  If you understand what I have in mind here, and can lead me
to some relevant papers, I would much appreciate it.

Daniel Offutt