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Professor Dodson (and the ccp4
community),
I apologize for dragging up old
messages, but I'm interested in a response you gave to a previous post and I
needed time to research it myself. On September 11th, in the "question
about refinement" thread, you commented that Rfree and R values of 24% and
20.5%, respectively for a 2.4angstrom structure are "unreasonably
close".
I understand that there are
theoretical values for the Rfree/Rfactor ratio that are expected for refined
structures (at a given resolution) using a least-squares target (thanks to
Jack Tanner's July 5th post with references from Ian Tickle's group).
However, for maximum likelihood (which I assume was being used to refine the
structure in question), I would expect the difference between the Rfree and
Rfactor to be the same or smaller compared to a least-squares refinement.
I reference:
Adams P.D., Pannu N.S., Read R.J. &
Brunger A.T. (1997) Cross-validated maximum likelihood enhances crystallographic
simulated annealing refinement. Proc Natl
Acad Sci U S A, 94,
5018.
Assuming a properly chosen test set
(i.e. sufficient size, NCS is accounted for properly, etc.), what considerations
lead you to expect (and desire)a much larger difference in the Rfree/Rfactor
values? Under what circumstances should one interpret large differences as
overfitting? I look forward to learning more about useful studies,
criteria and guidelines you and other members of the ccp4bb
community rely upon during (maximum likelihood)
refinement.
Thank you in advance for your time,
Best Regards,
-Andy Torelli
Andrew Torelli, M.S.
Ph.D. Candidate, Dept. of Biochemistry & Biophysics University of Rochester School of Medicine & Dentistry Box 712, 601 Elmwood Ave, Rochester, NY 14642 |
- [ccp4bb]: Rfree and R value differences in maximum likeliho... Andrew Torelli
