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CCP4BB Home

CCP4BB  July 2008

CCP4BB July 2008

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Subject:

Re: Using multiple crystals for structure solution in P1 using MAD/SAS/SAD

From:

Bram Schierbeek <[log in to unmask]>

Reply-To:

Bram Schierbeek <[log in to unmask]>

Date:

Wed, 23 Jul 2008 18:09:19 +0200

Content-Type:

text/plain

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text/plain (133 lines)

Hi Hari,

I have seen a poster last year's DGK  by Ina Dix and Madhumati Sevanna
from George Sheldricks' group. Not sure it was published yet.
They collected data on non-merohedrally twinned crystals and processed
and scaled the domains separately and merged them afterwards, thus
increasing the redundancy. Indeed they got better results with S-SAD
phasing when using the combined data. This was on Insulin and Glucose
isomerase, which do diffract better then the average crystal and since
the data came from the same crystal, albeit twinned, the were no
problems of non-isomorphism.

On the other hand, to come back to the original question: You could also
use a kappa goniostat for your P1 crystal to get complete and redundant
data.

Best wishes,

Bram

----------------------------------------------------------------------------
Bram Schierbeek
Application Scientist Structural Biology Solutions
Bruker AXS BV
Oostsingel 209,P.O.Box 811
2600 AV Delft, the Netherlands
T: +31 (0)152 152 508
F: +31 (0)152 152 599
E: [log in to unmask]
W: www.bruker-axs.com
----------------------------------------------------------------------------

Jacob Keller wrote:
> Shouldn't all of the "crystal-to-crystal" differences be taken out
> automatically by scaling, and is there not the same proportional
> anomalous signal in every isomorphous crystal, regardless of the
> background? I would think that using multiple crystals would give a
> better idea of "the truth," as if taking many snapshots of the same
> object, and putting them together to form a three-dimensional object.
> In Hazes' language, don't all isomorphous crystals "draw from the same
> [underlying] distribution?"
>
> Jacob Keller
>
> ps admittedly if there is radiation damage or other non-isomorphisms,
> this reasoning does not apply.
>
> *******************************************
> Jacob Pearson Keller
> Northwestern University
> Medical Scientist Training Program
> Dallos Laboratory
> F. Searle 1-240
> 2240 Campus Drive
> Evanston IL 60208
> lab: 847.491.2438
> cel: 773.608.9185
> email: [log in to unmask]
> *******************************************
>
> ----- Original Message ----- From: "Bart Hazes" <[log in to unmask]>
> To: <[log in to unmask]>
> Sent: Wednesday, July 23, 2008 10:05 AM
> Subject: Re: [ccp4bb] Using multiple crystals for structure solution
> in P1 using MAD/SAS/SAD
>
>
>> Increasing redundancy only helps if all data draw from the same
>> distribution so you get a more accurate estimate of the mean of the
>> distribution. When dealing with different crystals,
>> crystal-to-crystal variation is likely larger than the anomalous
>> signal you are looking for and I'm therefore not convinced that
>> merging of data is a good idea (never hurts to try though).
>>
>> I wonder if it would work better to derive anomalous differences for
>> the individual data sets first and then merge those anomalous
>> differences. This may allow the subtraction between F+ and F- to
>> remove some of the systematic differences there may be between
>> crystal forms.
>>
>> Bart
>>
>> Kay Diederichs wrote:
>>> hari jayaram schrieb:
>>> ...
>>>
>>>> I was wondering if anyone could comment on combining datasets from
>>>> multiple P1 crystals to increase the redundancy even further for
>>>> such heavy atom ( SAS / SAD ) or MAD experiments.
>>>>
>>>
>>> Hari,
>>>
>>> well, my comment would be that it should be possible in principle
>>> from what you describe, but the outcome strongly depends on the
>>> details (size of expected and observed anomalous and isomorphous
>>> signal, internal anomalous correlation coefficients, I/sigma and
>>> R-factors, radiation damage, are crystals isomorphous, ...).
>>>
>>> To increase the quality of the reduced data it would be advisable to
>>> rotate around different axes, which is possible at some - but not
>>> all - beamlines. This is even more true in P1.
>>>
>>> For all of the major data reduction programs there exist specific
>>> programs for merging data, and it does make a lot of sense to merge
>>> your passes (but don't merge radiation-damaged data with undamaged
>>> data)!. I would suggest to use at least two different data reduction
>>> packages - everything depends on the quality of the data reduction,
>>> and the programs have strengths in different areas.
>>>
>>> HTH,
>>>
>>> Kay
>>
>>
>> --
>>
>> ==============================================================================
>>
>>
>> Bart Hazes (Assistant Professor)
>> Dept. of Medical Microbiology & Immunology
>> University of Alberta
>> 1-15 Medical Sciences Building
>> Edmonton, Alberta
>> Canada, T6G 2H7
>> phone:  1-780-492-0042
>> fax:    1-780-492-7521
>>
>> ==============================================================================
>>
>>

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