In article <9404150823.ZM1869 at model.phr.utexas.edu>, David G. Rhodes <rhodes at MODEL.PHR.UTEXAS.EDU> writes:
> ((( OK - I admit I should be better informed - I've been busy doing lipid things
> for a few years, and have not kept up as well as I probably should have with
> certain 'protein things'. )))
>> I need to know the current wisdom as to the best approach to estimating protein
> secondary structure from sequence data. The literature is littered
> (alliteration) with methods, some of which have doubtless been found, in
> retrospect (in practice), to be more effective than others. What I seek is the
> input from those who do this on a regular basis as to what works and what
> doesn't. Even a pointer to useful (application-oriented) reviews would help.
I've cross-posted this to a couple of other newsgroups in the hope
that you'll get more of a response. Please let us know what you find
out.
My guess is that most people are still using the same programs for
secondary structure prediction as they were using *before* you got busy
with your lipids: the Kabsch and Sander program (e-mail
sander at copper.embl-heidelberg.de for info); and the Richards, Kundrot,
and Kahn program (e-mail perlo at hhvms8.csb.yale.edu for info).
misrael at csi.uottawa.ca Mark Israel
