Hi,

Apart from the issue of what to tell referees, there are two slightly different practical issues. One question that has been addressed is how precise the estimate of Rfree will be for a certain number of test set reflections, and this has been discussed in papers by Axel and by Ian Tickle.

But there's another important issue: how many reflections do you need to get a good estimate of the sigmaA values (as a function of resolution) needed to calibrate the likelihood target? I know I've discussed this in talks, but it doesn't look like I ever published anything about it. Perhaps someone else has.

There isn't a hard and fast answer, but there are probably reasonable rules of thumb. My impression is that you gain relatively little by adding more reflections, once you have a total of about 1000 or at most 2000 in the cross-validation set. However, giving up more than 10% of the data is probably a bad idea, even if the sigmaA estimates are somewhat less accurate. I've had reasonable results refining against data sets of 3000-5000 reflections, setting aside only 10% (i.e. 300-500 reflections) for cross-validation.

So here's the recipe I would use, for what it's worth:
   <10000 reflections:    set aside 10%
   10000-20000 reflections:  set aside 1000 reflections
   20000-40000 reflections:  set aside 5%
   >40000 reflections: set aside 2000 reflections

I'm sure that with a bit of thought someone could come up with a smooth function that achieves something similar, but it seems adequate.

In case anyone is interested, the reason this is a bit simplistic is that the number of reflections you need depends on how good your model is. If you look at the contribution to the likelihood function from one reflection, it is very broad for low sigmaA values and becomes sharper as the sigmaA values increase. This means that, if the true value of sigmaA is low, you need more reflections to get a precise estimate than if the true sigmaA value is high. This happens because, if sigmaA is low, any value of Fo could be expected for a particular Fc because the model predicts the data poorly, but if sigmaA is high, then there is a very restricted range of possible values for Fo given Fc. So to get stable refinement from a very poor model, you might need to set aside a larger number of reflections for cross-validated sigmaA estimation. Later on, when the model is better, you could afford to absorb some of those reflections into the working set.

Now, what are the chances that such a procedure would pass through the refereeing system without raising any eyebrows?

Randy Read

On 17 Jun 2008, at 13:50, Anastassis Perrakis wrote:

Hi-

I am afraid that the real issue might be that the real question is:

'How do I tell the referee of my paper that 1500 reflections are enough?'

Something along the lines of a statement like:

"It is generally accepted by the X-ray crystallography community that 1000-1500 are far enough for estimating Rfree, and in fact as few as 150 reflections can be enough. for a reference the editor could check the ccp4bb archive or the crystallography wikis and references therein"

Now ... thats fun ...:

The IUcr Wiki says:

"A fixed percentage of the total number of reflections is usually assigned to the free group."

And it references only the MiE paper of Axel in 1997 where I read:

In all test calculations to date, the free R value has
been highly correlated with the phase accuracy of the atomic model. In
practice, about 5-10% of the observed diffraction data (chosen at random from the unique reflections) become sequestered in the test set. The size of the test set is a compromise between the desire to minimize statistical fluctuations of the free R value and the need to avoid a deleterious effect
on the atomic model by omission of too much experimental data.

I could not find the full text of the 1992 paper.


CCP4 [User Community] Wiki

The 'user' one has links to the IUcr Wiki and the "test set" article is still not written.
The 'official' one does not touch the subject either.

Time to write it (with appropriate references!!!) ?

Tassos



On Jun 16, 2008, at 20:21, Mark J. van Raaij wrote:

Dear All,

It has recently been put to me that 5-10% of reflections should always be set aside for calculation of Rfree. However, when one has, say, 200 000 reflections (high resolution and/or large asymmetric unit), that seems to me to be a waste, because it would mean removing 10 000 to 20 000 reflections from the refinement target.

My opinion is based on discussions with a particular knowledgeable crystallographer and a meeting report ( http://journals.iucr.org/d/issues/1996/01/00/li0216/li0216.pdf ), in which 1000 reflections is said to be enough (i.e. statistically valid). As a result, I always take 1000-1500 reflections, independently of the number of total reflections, adjusting the percentage or the width of the thin shells (in case of NCS) accordingly.

What is the opinion of the community? And, if you agree with me, how should we try to get this opinion (more) generally accepted?

On a related note, how to refine a structure with only 5000 reflections, which could happen when you have a small a.u. and modest resolution? Could, exceptionally, a lower absolute amount of reflections be used for Rfree, say 500?

Greetings,

Mark


Mark J. van Raaij
Dpto de Bioquímica, Facultad de Farmacia
Universidad de Santiago
15782 Santiago de Compostela
Spain
http://web.usc.es/~vanraaij/



------
Randy J. Read
Department of Haematology, University of Cambridge
Cambridge Institute for Medical Research      Tel: + 44 1223 336500
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