Tantalum anomalous signal of a low-resolution SAD dataset with lattice-translocation disorder
Dear Phenix colleagues,
We are working on a Ta6Br14 cluster-SAD dataset (4.3 angstroms) with lattice-translocation disorder (with a total Rmerge of 0.16). Both SHELXC and Xtriage gave the similar positive result about the anomalous signal (See below).
-------------------------------------------------------------------------------------------------
Resl. Inf. 9.58 7.61 6.65 6.04 5.61 5.27 5.01 4.79 4.61 4.45 4.31
N(data) 1427 1410 1410 1409 1385 1452 1367 1399 1367 1395 1385
76.3 52.1 26.7 13.7 8.7 6.1 5.1 5.0 3.9 2.7 1.8
%Complete 98.8 99.9 100.0 99.9 100.0 100.0 100.0 99.9 99.7 99.6 95.8
Dear Shun, finding the substructure is often the wider bottleneck than extending its phases and generating a decent map. And with 4.3A, autobuilding is quite certain to fail, I am afraid. Did you compare solutions for the substructure from different programs, e.g. hyss, shelxd, sharp? If they coincide, at least you know that it is worth continuing with the solution and running density modification. (I cannot comment on the impact of lattice translocation disorder). Best, Tim On Tuesday, October 20, 2015 09:35:31 PM Shun Liu wrote:
Dear Phenix colleagues,
We are working on a Ta6Br14 cluster-SAD dataset (4.3 angstroms) with lattice-translocation disorder (with a total Rmerge of 0.16). Both SHELXC and Xtriage gave the similar positive result about the anomalous signal (See below).
---------------------------------------------------------------------------- --------------------- Resl. Inf. 9.58 7.61 6.65 6.04 5.61 5.27 5.01 4.79 4.61 4.45 4.31 N(data) 1427 1410 1410 1409 1385 1452 1367 1399 1367 1395 1385 76.3 52.1 26.7 13.7 8.7 6.1 5.1 5.0 3.9 2.7 1.8 %Complete 98.8 99.9 100.0 99.9 100.0 100.0 100.0 99.9 99.7 99.6 95.8
11.67 9.67 6.12 3.73 2.50 1.59 1.21 0.99 0.84 0.79 0.68 --------------------------------------------------------------------------- --------------------- unused: - 49.7669 [ 0/29 ] bin 1: 49.7669 - 9.2629 [3086/3100] 0.8212 bin 2: 9.2629 - 7.3599 [3031/3031] 0.7689 bin 3: 7.3599 - 6.4318 [3073/3073] 0.5380 bin 4: 6.4318 - 5.8447 [3071/3075] 0.2933 bin 5: 5.8447 - 5.4263 [3054/3054] 0.1230 bin 6: 5.4263 - 5.1067 [3070/3071] 0.0363 bin 7: 5.1067 - 4.8512 [3038/3039] 0.0126 bin 8: 4.8512 - 4.6402 [3028/3048] 0.0074 bin 9: 4.6402 - 4.4617 [2955/3037] 0.0021 bin 10: 4.4617 - 4.3078 [2730/3059] 0.0000 unused: 4.3078 - [ 0/0 ] ---------------------------------------------------------------------------- ---------------------- However, the tantalum sites we found and the initial map seem ambiguous, with which automatic model-building failed. I am wondering whether the lattice-translocation disorder of the dataset impacts the reliability of the anomalous signal, tantalum sites and the initial map. If it does, how can we decrease its impact? If it doesn't, is it possible to find the accurate Ta sites and generate an interpretable map suitable for model-building with this dataset? (After all, it has been reported that Ta sites can be found at 6A resolution.) Any suggestion and comment will be highly appreciated!
Best, Shun
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-- -- Paul Scherrer Institut Dr. Tim Gruene - persoenlich - OFLC/102 CH-5232 Villigen PSI phone: +41 (0)56 310 5297 GPG Key ID = A46BEE1A
Hi Shun,
This sounds pretty challenging. For a crystal with lattice-translocation disorder the amplitudes are basically all modified by a modulation factor depending on the translocation and the fraction of the crystal involved. Jimin Wang and colleagues used a simple fitting procedure to identify these parameters for both isomorphous and anomalous data (Wang, J., Kamtekar, S., Berman, A. J. & Steitz, T. A. (2005). Acta Cryst. D61, 67–74). It has also been used more recently (for example see https://www.sciencemag.org/content/suppl/2008/02/21/319.5866.1083.DC1/Tanaka...). It is possible that this could help in your case.
Note that for 4.3 A data where anomalous signal is very weak after about 6 A it is not so surprising that automate model-building would fail. You might want to try and find a distantly related structure from the PDB and try to fit domains into your map to evaluate it. You could then use morphing or mr_rosetta to try and improve the model.
All the best
Tom T
________________________________________
From: [email protected] [[email protected]] on behalf of Shun Liu [[email protected]]
Sent: Tuesday, October 20, 2015 10:35 PM
To: [email protected]
Subject: [phenixbb] Tantalum anomalous signal of a low-resolution SAD dataset with lattice-translocation disorder
Dear Phenix colleagues,
We are working on a Ta6Br14 cluster-SAD dataset (4.3 angstroms) with lattice-translocation disorder (with a total Rmerge of 0.16). Both SHELXC and Xtriage gave the similar positive result about the anomalous signal (See below).
-------------------------------------------------------------------------------------------------
Resl. Inf. 9.58 7.61 6.65 6.04 5.61 5.27 5.01 4.79 4.61 4.45 4.31
N(data) 1427 1410 1410 1409 1385 1452 1367 1399 1367 1395 1385
76.3 52.1 26.7 13.7 8.7 6.1 5.1 5.0 3.9 2.7 1.8
%Complete 98.8 99.9 100.0 99.9 100.0 100.0 100.0 99.9 99.7 99.6 95.8
Ta6Br14 is a great compound to use for low resolution phasing problems, but not for its anomalous signal!
For example, a single cluster in the background of a 300kDa protein gives an a SAD signal of roughly 5% at 5A[1]. These clusters are almost always rotationally disordered so I used the pessimistic case. This is an extremely weak signal compared to Rmerge at this resolution, which assuming that this is the highest resolution bin in your case, I imagine your Rmerge to be somewhere in the 20-30s. You can't estimate a 5% signal when your reflections are as much as 30% inconsistent.
The largest phasing power for these clusters comes from isomorphous differences at low resolution[2]. At 5A resolution, the contribution of a *single* TaBr cluster to scattering is less than 1% (not helpful to you), but at 25A, its as much as 10% [3]! Furthermore, your Rmerge at this resolution are probably in the low 3-5%'s and you've likely counted thousands of photons so the counting error is low.
I've solved many large structures with tantalum clusters, the phases at low resolution are *excellent*.
Cheers,
F
[1] Ethan Merrit's MAD power analysis page (http://skuld.bmsc.washington.edu/scatter/AS_signal.html).
[2] http://www.nobelprize.org/nobel_prizes/chemistry/laureates/2009/steitz_lectu...
[3] Using Holton assumptions to Magdoff Crick, http://proteincrystallography.org/ccp4bb/message9404.html.
On Oct 21, 2015, at 12:35 AM, Shun Liu
Dear Phenix colleagues,
We are working on a Ta6Br14 cluster-SAD dataset (4.3 angstroms) with lattice-translocation disorder (with a total Rmerge of 0.16). Both SHELXC and Xtriage gave the similar positive result about the anomalous signal (See below).
------------------------------------------------------------------------------------------------- Resl. Inf. 9.58 7.61 6.65 6.04 5.61 5.27 5.01 4.79 4.61 4.45 4.31 N(data) 1427 1410 1410 1409 1385 1452 1367 1399 1367 1395 1385 76.3 52.1 26.7 13.7 8.7 6.1 5.1 5.0 3.9 2.7 1.8 %Complete 98.8 99.9 100.0 99.9 100.0 100.0 100.0 99.9 99.7 99.6 95.8
11.67 9.67 6.12 3.73 2.50 1.59 1.21 0.99 0.84 0.79 0.68 ------------------------------------------------------------------------------------------------ unused: - 49.7669 [ 0/29 ] bin 1: 49.7669 - 9.2629 [3086/3100] 0.8212 bin 2: 9.2629 - 7.3599 [3031/3031] 0.7689 bin 3: 7.3599 - 6.4318 [3073/3073] 0.5380 bin 4: 6.4318 - 5.8447 [3071/3075] 0.2933 bin 5: 5.8447 - 5.4263 [3054/3054] 0.1230 bin 6: 5.4263 - 5.1067 [3070/3071] 0.0363 bin 7: 5.1067 - 4.8512 [3038/3039] 0.0126 bin 8: 4.8512 - 4.6402 [3028/3048] 0.0074 bin 9: 4.6402 - 4.4617 [2955/3037] 0.0021 bin 10: 4.4617 - 4.3078 [2730/3059] 0.0000 unused: 4.3078 - [ 0/0 ] -------------------------------------------------------------------------------------------------- However, the tantalum sites we found and the initial map seem ambiguous, with which automatic model-building failed. I am wondering whether the lattice-translocation disorder of the dataset impacts the reliability of the anomalous signal, tantalum sites and the initial map. If it does, how can we decrease its impact? If it doesn't, is it possible to find the accurate Ta sites and generate an interpretable map suitable for model-building with this dataset? (After all, it has been reported that Ta sites can be found at 6A resolution.) Any suggestion and comment will be highly appreciated!
Best, Shun
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I’d like to add that the SAD phases from the tantalum bromide cluster at 4.5 Angstroms resolution can actually work wonders if: 1) you have a partial MR solution, e.g. for ~50% of the scattering mass of the ASU, 2) the unknown part of your structure is primarily helical, and you can manually model poly-alanine helices into the density, and 3) you have a higher resolution dataset that is not isomorphous enough to the TaBr-derivatized dataset, but you can iteratively improve the model you built at low resolution. It might take a lot of time, but it can be done. All the stars have to eventually align in your favor, though. :) Diana ************************************************** Diana R. Tomchick Professor Departments of Biophysics and Biochemistry University of Texas Southwestern Medical Center 5323 Harry Hines Blvd. Rm. ND10.214A Dallas, TX 75390-8816 [email protected] (214) 645-6383 (phone) (214) 645-6353 (fax)
On Oct 21, 2015, at 9:24 AM, Francis Reyes
wrote: Ta6Br14 is a great compound to use for low resolution phasing problems, but not for its anomalous signal!
For example, a single cluster in the background of a 300kDa protein gives an a SAD signal of roughly 5% at 5A[1]. These clusters are almost always rotationally disordered so I used the pessimistic case. This is an extremely weak signal compared to Rmerge at this resolution, which assuming that this is the highest resolution bin in your case, I imagine your Rmerge to be somewhere in the 20-30s. You can't estimate a 5% signal when your reflections are as much as 30% inconsistent.
The largest phasing power for these clusters comes from isomorphous differences at low resolution[2]. At 5A resolution, the contribution of a *single* TaBr cluster to scattering is less than 1% (not helpful to you), but at 25A, its as much as 10% [3]! Furthermore, your Rmerge at this resolution are probably in the low 3-5%'s and you've likely counted thousands of photons so the counting error is low.
I've solved many large structures with tantalum clusters, the phases at low resolution are *excellent*.
Cheers,
F
[1] Ethan Merrit's MAD power analysis page (http://skuld.bmsc.washington.edu/scatter/AS_signal.html). [2] http://www.nobelprize.org/nobel_prizes/chemistry/laureates/2009/steitz_lectu... [3] Using Holton assumptions to Magdoff Crick, http://proteincrystallography.org/ccp4bb/message9404.html.
On Oct 21, 2015, at 12:35 AM, Shun Liu
wrote: Dear Phenix colleagues,
We are working on a Ta6Br14 cluster-SAD dataset (4.3 angstroms) with lattice-translocation disorder (with a total Rmerge of 0.16). Both SHELXC and Xtriage gave the similar positive result about the anomalous signal (See below).
------------------------------------------------------------------------------------------------- Resl. Inf. 9.58 7.61 6.65 6.04 5.61 5.27 5.01 4.79 4.61 4.45 4.31 N(data) 1427 1410 1410 1409 1385 1452 1367 1399 1367 1395 1385 76.3 52.1 26.7 13.7 8.7 6.1 5.1 5.0 3.9 2.7 1.8 %Complete 98.8 99.9 100.0 99.9 100.0 100.0 100.0 99.9 99.7 99.6 95.8
11.67 9.67 6.12 3.73 2.50 1.59 1.21 0.99 0.84 0.79 0.68 ------------------------------------------------------------------------------------------------ unused: - 49.7669 [ 0/29 ] bin 1: 49.7669 - 9.2629 [3086/3100] 0.8212 bin 2: 9.2629 - 7.3599 [3031/3031] 0.7689 bin 3: 7.3599 - 6.4318 [3073/3073] 0.5380 bin 4: 6.4318 - 5.8447 [3071/3075] 0.2933 bin 5: 5.8447 - 5.4263 [3054/3054] 0.1230 bin 6: 5.4263 - 5.1067 [3070/3071] 0.0363 bin 7: 5.1067 - 4.8512 [3038/3039] 0.0126 bin 8: 4.8512 - 4.6402 [3028/3048] 0.0074 bin 9: 4.6402 - 4.4617 [2955/3037] 0.0021 bin 10: 4.4617 - 4.3078 [2730/3059] 0.0000 unused: 4.3078 - [ 0/0 ] -------------------------------------------------------------------------------------------------- However, the tantalum sites we found and the initial map seem ambiguous, with which automatic model-building failed. I am wondering whether the lattice-translocation disorder of the dataset impacts the reliability of the anomalous signal, tantalum sites and the initial map. If it does, how can we decrease its impact? If it doesn't, is it possible to find the accurate Ta sites and generate an interpretable map suitable for model-building with this dataset? (After all, it has been reported that Ta sites can be found at 6A resolution.) Any suggestion and comment will be highly appreciated!
Best, Shun
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participants (5)
-
Diana Tomchick
-
Francis Reyes
-
Shun Liu
-
Terwilliger, Thomas Charles
-
Tim Gruene