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[ccp4bb]: summary for NCS averaging

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This is a brief summary for the reply I got from my original post about
using NCS averaging to improve MAD phase.
As it turns out to be a translation NCS which is not as useful as
rotational NCS.  We also obtained two crystals from
Hg soaking which produce half of the cell same as Sundar reported today
... Now I am trying to refine the MR solution
using this new dataset. Maybe I should get the Maximum Likelyhood MR
program from Randy Read for this rather
poor MR model. Is that called BUSTER? Still in beta version??

Anyhow, here is a complied list of what I got from all those wonderful
people. Thanks again.

Several poeple pointed out using GETAX (Byron Delabarre, Clemens
Vonrhein, Laurent Maveyraud)

Tim Allison suggested to try automatic NCS in DM or use any protein with
similar size to get a mask, and using O to
find the matix graphically.

Jan Abendroth suggested using bones from the map to get the mask.

Eleanor sent me some nice scripts using AMORE to find out the NCS

Kevin Cowtan and others pointed out using fffear.

Randy Read point out that translation NCS is not as powerful as I
thought. (Holly Jing also pointed the same thing.)

David Schuller suggested using SHARP& SOLOMON or SQUASH to get the best
non-averaged map and look for the secondary structure
element in the map, and then figure out the NCS matrix.

Brent Segelke suggested using EPMR to get the MR solution.

Shekhar Mande suggested looking at the self-rotaion function and use the
solvent flattened map as input to PLOARRFN.

Tanja Sandalova sent some unknown suggestion which is not in English and
I have no way to guess:)

I am sorry if I miss anybody's name.


PS: one last question, just a little doubt, will that translation NCS
prevent me finding the Se sites? I don't think so, but we should
have 9 sites per protein instead of one. No matter how hard I tried, I
can only find one Se per protein (so two sites per ASU), the
two Se sites are related by (0, 0.04,0.5).

"The DAO is not a real DAO when it can be talked about."
                                                ---(DAO DE JING)
Jinsong Liu, Ph.D.
Tularik Inc.
Two Corporate Drive                     Phone: 650 825-7054
South San Francisco, CA 94080, USA      Email: jsliu@tularik.com