In my opinion the threshold should be zero bits. Yes, this is where
CC1/2 = 0 (or FSC = 0). If there is correlation then there is
information, and why throw out information if there is information to be
had? Yes, this information comes with noise attached, but that is why
we have weights.
It is also important to remember that zero intensity is still useful
information. Systematic absences are an excellent example. They have
no intensity at all, but they speak volumes about the structure. In a
similar way, high-angle zero-intensity observations also tell us
something. Ever tried unrestrained B factor refinement at poor
resolution? It is hard to do nowadays because of all the safety catches
in modern software, but you can get great R factors this way. A
telltale sign of this kind of "over fitting" is remarkably large Fcalc
values beyond the resolution cutoff. These don't contribute to the R
factor, however, because Fobs is missing for these hkls. So, including
zero-intensity data suppresses at least some types of over-fitting.
The thing I like most about the zero-information resolution cutoff is
that it forces us to address the real problem: what do you mean by
"resolution" ? Not long ago, claiming your resolution was 3.0 A meant
that after discarding all spots with individual I/sigI < 3 you still
have 80% completeness in the 3.0 A bin. Now we are saying we have a 3.0
A data set when we can prove statistically that a few non-background
counts fell into the sum of all spot areas at 3.0 A. These are not the
same thing.
Don't get me wrong, including the weak high-resolution information makes
the model better, and indeed I am even advocating including all the
noisy zeroes. However, weak data at 3.0 A is never going to be as good
as having strong data at 3.0 A. So, how do we decide? I personally
think that the resolution assigned to the PDB deposition should remain
the classical I/sigI > 3 at 80% rule. This is really the only way to
have meaningful comparison of resolution between very old and very new
structures. One should, of course, deposit all the data, but don't
claim that cut-off as your "resolution". That is just plain unfair to
those who came before.
Oh yeah, and I also have a session on "interpreting low-resolution maps"
at the GRC this year.
https://www.grc.org/diffraction-methods-in-structural-biology-conference/2020/
So, please, let the discussion continue!
-James Holton
MAD Scientist
On 2/22/2020 11:06 AM, Nave, Colin (DLSLtd,RAL,LSCI) wrote:
Alexis
This is a very useful summary.
You say you were not convinced by Marin's derivation in 2005. Are you
convinced now and, if not, why?
My interest in this is that the FSC with half bit thresholds have the
danger of being adopted elsewhere because they are becoming standard
for protein structure determination (by EM or MX). If it is used for
these mature techniques it must be right!
It is the adoption of the ½ bit threshold I worry about. I gave a
rather weak example for MX which consisted of partial occupancy of
side chains, substrates etc. For x-ray imaging a wide range of
contrasts can occur and, if you want to see features with only a small
contrast above the surroundings then I think the half bit threshold
would be inappropriate.
It would be good to see a clear message from the MX and EM communities
as to why an information content threshold of ½ a bit is generally
appropriate for these techniques and an acknowledgement that this
threshold is technique/problem dependent.
We might then progress from the bronze age to the iron age.
Regards
Colin
*From:*CCP4 bulletin board <[email protected]> *On Behalf Of
*Alexis Rohou
*Sent:* 21 February 2020 16:35
*To:* [email protected]
*Subject:* Re: [ccp4bb] [3dem] Which resolution?
Hi all,
For those bewildered by Marin's insistence that everyone's been
messing up their stats since the bronze age, I'd like to offer what my
understanding of the situation. More details in this thread from a few
years ago on the exact same topic:
https://mail.ncmir.ucsd.edu/pipermail/3dem/2015-August/003939.html
https://mail.ncmir.ucsd.edu/pipermail/3dem/2015-August/003944.html
Notwithstanding notational problems (e.g. strict equations as opposed
to approximation symbols, or omission of symbols to denote
estimation), I believe Frank & Al-Ali and "descendent" papers (e.g.
appendix of Rosenthal & Henderson 2003) are fine. The cross terms that
Marin is agitated about indeed do in fact have an expectation value of
0.0 (in the ensemble; if the experiment were performed an infinite
number of times with different realizations of noise). I don't believe
Pawel or Jose Maria or any of the other authors really believe that
the cross-terms are orthogonal.
When N (the number of independent Fouier voxels in a shell) is large
enough, mean(Signal x Noise) ~ 0.0 is only an approximation, but a
pretty good one, even for a single FSC experiment. This is why, in my
book, derivations that depend on Frank & Al-Ali are OK, under the
strict assumption that N is large. Numerically, this becomes apparent
when Marin's half-bit criterion is plotted - asymptotically it has the
same behavior as a constant threshold.
So, is Marin wrong to worry about this? No, I don't think so. There
are indeed cases where the assumption of large N is broken. And under
those circumstances, any fixed threshold (0.143, 0.5, whatever) is
dangerous. This is illustrated in figures of van Heel & Schatz (2005).
Small boxes, high-symmetry, small objects in large boxes, and a number
of other conditions can make fixed thresholds dangerous.
It would indeed be better to use a non-fixed threshold. So why am I
not using the 1/2-bit criterion in my own work? While numerically it
behaves well at most resolution ranges, I was not convinced by Marin's
derivation in 2005. Philosophically though, I think he's right - we
should aim for FSC thresholds that are more robust to the kinds of
edge cases mentioned above. It would be the right thing to do.
Hope this helps,
Alexis
On Sun, Feb 16, 2020 at 9:00 AM Penczek, Pawel A
<[email protected] <mailto:[email protected]>> wrote:
Marin,
The statistics in 2010 review is fine. You may disagree with
assumptions, but I can assure you the “statistics” (as you call
it) is fine. Careful reading of the paper would reveal to you this
much.
Regards,
Pawel
On Feb 16, 2020, at 10:38 AM, Marin van Heel
<[email protected]
<mailto:[email protected]>> wrote:
***** EXTERNAL EMAIL *****
Dear Pawel and All others ....
This 2010 review is - unfortunately - largely based on the
flawed statistics I mentioned before, namely on the a priori
assumption that the inner product of a signal vector and a
noise vector are ZERO (an orthogonality assumption). The
(Frank & Al-Ali 1975) paper we have refuted on a number of
occasions (for example in 2005, and most recently in our
BioRxiv paper) but you still take that as the correct relation
between SNR and FRC (and you never cite the criticism...).
Sorry
Marin
On Thu, Feb 13, 2020 at 10:42 AM Penczek, Pawel A
<[email protected]
<mailto:[email protected]>> wrote:
Dear Teige,
I am wondering whether you are familiar with
Resolution measures in molecular electron microscopy.
Penczek PA. Methods Enzymol. 2010.
Citation
Methods Enzymol. 2010;482:73-100. doi:
10.1016/S0076-6879(10)82003-8.
You will find there answers to all questions you asked and
much more.
Regards,
Pawel Penczek
Regards,
Pawel
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