Re: [ccp4bb] microdiffraction data assembly method

2017-11-21 Thread Kay Diederichs
For serial crystallography at the SLS, the procedures that were in place more 
than a year ago are described in https://www.ncbi.nlm.nih.gov/pubmed/28573576 . 
I'd say these procedures are an order of magnitude more straightforward than 
what is in the paper that you cite, and give better results. Since then, a 
procedure was developed that made it possible to easily cluster (or select) 
similar data sets (https://www.ncbi.nlm.nih.gov/pubmed/28375141). This is 
available, for datasets processed with XDS, as xscale_isocluster, from XDSwiki. 
This opens new opportunities to work with serial crystallographic data (also 
those from XFEL), and if nothing else will result in better merged data through 
better selection.

The methods development in this field is ongoing, and the current state will be 
displayed at next week's ISSX2 workshop at the SLS ( 
http://indico.psi.ch/conferenceDisplay.py?confId=5553 ). It will also be one 
topic at the forthcoming 2018 CCP4 Study Weekend 
(https://eventbooking.stfc.ac.uk/news-events/ccp4-study-weekend-2018-384).

HTH,

Kay


On Tue, 21 Nov 2017 09:50:39 -0800, Ethan A Merritt  
wrote:

>On Tuesday, November 21, 2017 9:32:15 AM PST CPMAS Chen wrote:
>> Hi, CCP4ers,
>>
>> I came across this paper about improving data by microdiffraction data
>> assembly method from Raymond C. Stevens group,
>> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338336/#SD1.
>>
>> By reading their methods, this seems to me like manually selecting data
>> based on Rmerge. After almost 5 years, do we have a better/quicker
>> script-based method to do so?
>
>The difficulty they faced was essentially identical to that faced by all
>the nanocrystal + XFEL experiments performed since then.
>The data processing software being developed for XFEL probably does
>what you are asking for.  You might start here:
>
>  http://viper.lbl.gov/cctbx.xfel/index.php/Main_Page
>
>The issue is that each crystal contributes only a small slice of
>reciprocal space to the data.   In the case of XFEL data this is only
>a still image.  In the paper you cite it was more than that, but still
>very small compared to "normal" data sets.
>
>   Ethan
>
>> Their data improved not only in resolution, but also in the statistics. The
>> method seems impressive.
>> Thanks!
>>
>> Charles
>>
>>
>
>
>--
>Ethan A Merritt
>Biomolecular Structure Center,  K-428 Health Sciences Bldg
>MS 357742,   University of Washington, Seattle 98195-7742


Re: [ccp4bb] microdiffraction data assembly method

2017-11-21 Thread Kevin Jude
Hi Charles, a couple of years ago a colleague and I put together a perl
script based on this paper. It worked pretty well in our hands. I'd be
happy to share it with you if you'd like.

Best wishes
Kevin

--
Kevin Jude, PhD
Structural Biology Research Specialist, Garcia Lab
Howard Hughes Medical Institute
Stanford University School of Medicine
Beckman B177, 279 Campus Drive, Stanford CA 94305
Phone: (650) 723-6431

On Tue, Nov 21, 2017 at 9:32 AM, CPMAS Chen  wrote:

> Hi, CCP4ers,
>
> I came across this paper about improving data by microdiffraction data
> assembly method from Raymond C. Stevens group, https://www.ncbi.nlm.
> nih.gov/pmc/articles/PMC3338336/#SD1.
>
> By reading their methods, this seems to me like manually selecting data
> based on Rmerge. After almost 5 years, do we have a better/quicker
> script-based method to do so?
>
> Their data improved not only in resolution, but also in the statistics.
> The method seems impressive.
>
> Thanks!
>
> Charles
>
> --
>
> ***
>
> Charles Chen
>
> Research Associate
>
> University of Pittsburgh School of Medicine
>
> Department of Anesthesiology
>
> **
>
>


Re: [ccp4bb] [Off-topic] Comparison of the same structure built by many people

2017-11-21 Thread Pavel Afonine
Perhaps this can be automated:

https://www.phenix-online.org/papers/wd5073_reprint.pdf

Software doesn't get tired or bored, and thus potentially can try more and
produce more plausible interretations. Then one can hire a number of people
of various expertise to choose "best" result according to their subjective
interpretations.

Pavel

On Mon, Nov 20, 2017 at 12:25 PM, Shintaro Aibara  wrote:

> Dear All,
>
> Apologies for the slightly off-topic, but I was wondering if anybody knew
> of a paper/textbook where a protein model was built by multiple people
> (ranging from novice to experienced builders) and compared. I believe the
> conclusion was that while the overall trace was broadly correct,
> experienced builders maintained better geometry compared to beginners.
>
> I distinctly remember reading it a couple of years ago but cannot seem to
> find the figure. If anybody knows of this figure/paper/textbook it would be
> much appreciated if you could point me in the direction.
>
> Yours faithfully,
> Shintaro
>


Re: [ccp4bb] [Off-topic] Comparison of the same structure built by many people

2017-11-21 Thread Marcin Wojdyr
It sounds a bit like this paper from a year ago:
https://www.nature.com/articles/ncomms12549
apart from the conclusion: here the point is that amateurs build
higher quality models than crystallographers.

On 20 November 2017 at 20:25, Shintaro Aibara  wrote:
> Dear All,
>
> Apologies for the slightly off-topic, but I was wondering if anybody knew of
> a paper/textbook where a protein model was built by multiple people (ranging
> from novice to experienced builders) and compared. I believe the conclusion
> was that while the overall trace was broadly correct, experienced builders
> maintained better geometry compared to beginners.
>
> I distinctly remember reading it a couple of years ago but cannot seem to
> find the figure. If anybody knows of this figure/paper/textbook it would be
> much appreciated if you could point me in the direction.
>
> Yours faithfully,
> Shintaro


Re: [ccp4bb] microdiffraction data assembly method

2017-11-21 Thread Ethan A Merritt
On Tuesday, November 21, 2017 9:32:15 AM PST CPMAS Chen wrote:
> Hi, CCP4ers,
> 
> I came across this paper about improving data by microdiffraction data
> assembly method from Raymond C. Stevens group,
> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338336/#SD1.
> 
> By reading their methods, this seems to me like manually selecting data
> based on Rmerge. After almost 5 years, do we have a better/quicker
> script-based method to do so?

The difficulty they faced was essentially identical to that faced by all
the nanocrystal + XFEL experiments performed since then.
The data processing software being developed for XFEL probably does
what you are asking for.  You might start here:

  http://viper.lbl.gov/cctbx.xfel/index.php/Main_Page

The issue is that each crystal contributes only a small slice of 
reciprocal space to the data.   In the case of XFEL data this is only
a still image.  In the paper you cite it was more than that, but still
very small compared to "normal" data sets.

Ethan 
 
> Their data improved not only in resolution, but also in the statistics. The
> method seems impressive.
> Thanks!
> 
> Charles
> 
> 


-- 
Ethan A Merritt
Biomolecular Structure Center,  K-428 Health Sciences Bldg
MS 357742,   University of Washington, Seattle 98195-7742


[ccp4bb] microdiffraction data assembly method

2017-11-21 Thread CPMAS Chen
Hi, CCP4ers,

I came across this paper about improving data by microdiffraction data
assembly method from Raymond C. Stevens group,
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3338336/#SD1.

By reading their methods, this seems to me like manually selecting data
based on Rmerge. After almost 5 years, do we have a better/quicker
script-based method to do so?

Their data improved not only in resolution, but also in the statistics. The
method seems impressive.

Thanks!

Charles

-- 

***

Charles Chen

Research Associate

University of Pittsburgh School of Medicine

Department of Anesthesiology

**


Re: [ccp4bb] [Off-topic] Comparison of the same structure built by many people

2017-11-21 Thread Shintaro Aibara
Thanks Mark for the paper, it kind of catches the essence of what I was
looking for. I do however remember it was more people and I think I'm
looking for a figure where all the builds (which if I remember correctly
was in the 10's rather than 3) were superimposed over each other to make
what looked similar to an NMR ensemble.

On Mon, Nov 20, 2017 at 10:04 PM, Mark J. van Raaij 
wrote:

>
> This one?
> http://scripts.iucr.org/cgi-bin/paper?SE0260
>
>
> Mark J van Raaij
> CNB-CSIC
> wwwuser.csic.es/~mjvanraaij
>
>  Original message 
> From: Shintaro Aibara 
> Date: 20/11/2017 21:25 (GMT+01:00)
> To: CCP4BB@JISCMAIL.AC.UK
> Subject: [ccp4bb] [Off-topic] Comparison of the same structure built by
> many people
>
> Dear All,
>
> Apologies for the slightly off-topic, but I was wondering if anybody knew
> of a paper/textbook where a protein model was built by multiple people
> (ranging from novice to experienced builders) and compared. I believe the
> conclusion was that while the overall trace was broadly correct,
> experienced builders maintained better geometry compared to beginners.
>
> I distinctly remember reading it a couple of years ago but cannot seem to
> find the figure. If anybody knows of this figure/paper/textbook it would be
> much appreciated if you could point me in the direction.
>
> Yours faithfully,
> Shintaro
>



-- 
Yours Sincerely,
Shintaro Aibara