I'm going to dive back in here again to expand this discussion. Whether this diversion clarifies or obscures issues surrounding the "crystallographers' dilemma" I'll leave for others to decide.

There is currently considerable discussion, among people who care about cell phone cameras, over the behavior of the cameras in some Samsung cell phones when photos are taken that include the Moon.

https://www.reddit.com/r/Android/comments/11nzrb0/samsung_space_zoom_moon_shots_are_fake_and_here/

In this post, evidence is presented that photos taken with one of these phone cameras, and includes the Earth's largest satellite, the image shows a properly exposed and detailed image of the orb. This despite the fact that the test photograph described in the post is of a tableau containing a deliberately blurred photo of the cratered globe. The claim is made that the Samsung app is adding information from sources other than the camera's light sensor and therefore the image is "fake".

I expect that Samsung would reply that, once the app is confident that the silver disk in the image is the nighttime traditional symbol of romance, it is perfectly reasonable to make that, now identified aerial, phenomenon appear in the image as expected by every sighted human in the history of our species. There have been billions of high quality photos of the silicate sphere taken. (This is both literally true and a gross underestimate.) How can the photo be fake if it better reflects what the photographer saw than what can be deduced from only the raw pixels of the sensor?

Of course, this example differs only in degree from common practice going back to the beginning of photography. Photos have always been modified, sometimes in order to deceive the viewer, but most often to make the photos more like what the photographer believed the scene actually looked like. For example, in nearly every photo I take I "correct" the color balance.

Is the photo with a detailed Moon fake? Are my photos taken at the forest floor, but without everything being some shade of green, fake? I think most people would be satisfied if there was a way for them to know what sources of information were used in creating the image.

We, as scientists, are much more demanding of our PDB models. We build better models when we use all the knowledge at our disposal. If we are interpreting a 9A resolution map of hemoglobin and see a disk-shaped piece of density where we know the heme goes, we are perfectly justified to build an atomic model of heme. We are also obliged to make clear that the exact atomic positions, bond lengths and angles, were not derived from that map, just as a journalist needs to make clear to the reader that their photo has been processed to include detail which was not present when the image was "taken".

I have deposited models that contained features which were only "consistent" with the electron density but supported by enough other forms of evidence to make me confident in their existence. I have done my best to make the justification of these models clear in the reports I have written but continue to be frustrated by the lack of tools to represent the precise interplay of data sources that support my model WITHIN the deposition. I am not so naive to believe that everyone who has cited my papers have actually read them.

Dale E. Tronrud


On 3/10/2023 1:05 AM, Julia Griese wrote:
Hi all,

My impression has been that the most common approach these days is to “let the B-factors take care of it”, but I might be wrong. Maybe it’s time to run another poll?

Personally, I call any other approach R-factor cosmetics. The goal in model building is not to achieve the lowest possible R-factors, it’s to build the most physically meaningful, most likely to be correct, model. So if you know that the side chain is part of the protein, you should model it the best way you can. If it’s there, just disordered, then the most correct way to model it is to let it have high B-factors. Most molecular graphics programs don’t flag zero-occupancy atoms, so the user might never notice. Truncation of a side chain, unless there is evidence that it really physically isn’t there, is also misleading, in my opinion. I don’t believe that it is more helpful to the non-expert user than high B-factors either.

If people who are not structural biologists themselves don’t know how to use a structure, then we need to educate them better. It is very straightforward these days to look at electron density in the PDB viewer. It used to be difficult, but nowadays there’s no excuse for not checking the electron density. The PDB validation flags RSRZ outliers. You can easily colour a structure by B-factors. It doesn’t take that much effort to teach students how to validate structures. The main point you need to get across is that it is necessary to do so. And this needs to be done not only in courses aimed at prospective experimental structural biologists, of course, but whenever students use structures in any way.

This is just the opinion of someone who feels very strongly about teaching structure validation and rejoices when students’ reply to the question “What was the most important thing you learned today?” is: “Don’t blindly trust anything.”

Cheers

/Julia

--

Dr. Julia Griese

Associate Professor (Docent)

Principal Investigator

Department of Cell and Molecular Biology

Uppsala University

BMC, Box 596

SE-75124 Uppsala

Sweden

email: julia.gri...@icm.uu.se

phone: +46-(0)18-471 4982

http://www.icm.uu.se/structural-biology/griese-lab/ <http://www.icm.uu.se/structural-biology/griese-lab/>

*From: *CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> on behalf of Bernhard Lechtenberg <0000968307750321-dmarc-requ...@jiscmail.ac.uk>
*Reply-To: *Bernhard Lechtenberg <lechtenber...@wehi.edu.au>
*Date: *Friday, March 10, 2023 at 05:07
*To: *"CCP4BB@JISCMAIL.AC.UK" <CCP4BB@JISCMAIL.AC.UK>
*Subject: *Re: [ccp4bb] To Trim or Not to To Trim

I found the poll I wrote about earlier. This actually is way older than I had expected (2011). You can see the poll results (which was run by Ed Pozharski) and discussion at the time here in the CCP4BB archive:

https://www.mail-archive.com/ccp4bb@jiscmail.ac.uk/msg20268.html <https://www.mail-archive.com/ccp4bb@jiscmail.ac.uk/msg20268.html>

In brief, the results of 240 respondents were:

Delete the atoms                                         43%

Let refinement take care of it by inflating B-factors    41%

Set occupancy to zero                                    12%

Other                                                     4%

Bernhard

*From: *CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK> on behalf of Debanu Das <debanu....@gmail.com>
*Date: *Friday, 10 March 2023 at 2:56 pm
*To: *CCP4BB@JISCMAIL.AC.UK <CCP4BB@JISCMAIL.AC.UK>
*Subject: *Re: [ccp4bb] To Trim or Not to To Trim

We dealt with this in-depth during structural genomics days when we deposited over 1500 novel, high-quality, experimentally-phased structures into the PDB. Think it’s prudent to trim/truncate side chains without reliable density.

Non-structural biologists using PDB structures without expert help can err in any of these scenarios: misinterpreting most common/random rotamer, zero occupancy atoms, B-factors, etc.

What is the value of populating the PDB, which is a structural model repository, with such information that is not there, i.e., reliable structural model?

Any trained crystallographer/structural biologist can easily add in side chain information if needed for modeling/computational chemistry reasons.

Best regards,

Debanu

On Thu, Mar 9, 2023 at 6:50 PM Jurgen Bosch <jxb...@case.edu <mailto:jxb...@case.edu>> wrote:

    I’d say no trimming to side chains for the following reason: There
    are non-structural biologists using PDB files and if atoms are
    missing they don’t know what to do. A better approach is where no
    side chain density allows support of placement, pick the most common
    rotamer and set the occupancy to zero for those atoms lacking
    density support. More work for you but more accurate in my opinion.

    Jürgen

    _______________________________________________

    Jürgen Bosch, PhD, MBA

    Center for Global Health & Diseases

    Case Western Reserve University

    Cleveland, OH 44106

    https://www.linkedin.com/in/jubosch/
    <https://www.linkedin.com/in/jubosch/>

    CEO & Co-Founder at InterRayBio, LLC

        On Mar 9, 2023, at 9:45 PM, Bernhard Lechtenberg
        <0000968307750321-dmarc-requ...@jiscmail.ac.uk
        <mailto:0000968307750321-dmarc-requ...@jiscmail.ac.uk>> wrote:

        Hi Rhys,

        I am also all for leaving side chains and letting the B-factors
        deal with the weak/absent density.

        I don’t think there is a consensus, but I kind of remember that
        somebody did a poll a few years ago and if I remember correctly
        the main approaches were the one described above, or trimming
        the side-chains.

        Bernhard

        *Bernhard C. Lechtenberg* PhD
        NHMRC Emerging Leadership Fellow
        Laboratory Head
        Ubiquitin Signalling Division​​​​​​​​​​​​​​

        E lechtenber...@wehi.edu.au <mailto:lechtenber...@wehi.edu.au>
        T +61 3 9345 2217

        *From: *CCP4 bulletin board <CCP4BB@JISCMAIL.AC.UK
        <mailto:CCP4BB@JISCMAIL.AC.UK>> on behalf of Rhys Grinter
        <000022087c81e8c6-dmarc-requ...@jiscmail.ac.uk
        <mailto:000022087c81e8c6-dmarc-requ...@jiscmail.ac.uk>>
        *Date: *Friday, 10 March 2023 at 12:26 pm
        *To: *CCP4BB@JISCMAIL.AC.UK <mailto:CCP4BB@JISCMAIL.AC.UK>
        <CCP4BB@JISCMAIL.AC.UK <mailto:CCP4BB@JISCMAIL.AC.UK>>
        *Subject: *[ccp4bb] To Trim or Not to To Trim

        Hi All,

        I'm trying to crowdsource an opinion on how people deal with
        modelling side chains with poorly resolved electron or cryoEM
        density.

        My preference is to model the sidechain and allow the B-factors
        to go high in refinement to represent that the side chain is
        flexible. However, I'm aware that some people truncate
        sidechains if density is not present to justify modelling. I've
        also seen models where the sidechain is modelled but with zero
        occupancy if density isn't present.

        Is there a consensus and justifying arguments for why one
        approach is better?

        Cheers,

        Rhys

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LinkedIn: www.linkedin.com/in/debanudas <http://www.linkedin.com/in/debanudas>
Cal Alumni: cal.berkeley.edu/debanudas <http://cal.berkeley.edu/debanudas>

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