Marius, there's indeed a final minimization in cartesian space (minc) in the end of the script. I'll comment it out and run the test again, curious how different the result will become when everything will be minimized in torsion space exclusively.

On 10/26/16 8:10 PM, Clore, Marius (NIH/NIDDK) [E] wrote:
Leonidas and Gabriel,

I'm out of town right now and so don't have access to the script.  However, if 
my memory serves me right you will find that the script contains a final 
minimization step in catesian space (you can check this yourself or ask 
Charles).  In any case, the consequence of that is that you'll always get 
perfect agreement with the NH RDCs because all one has to do is move the 
protons around a bit and there is no constraint from one proton to the next 
(i.e. each proton would be moving independently of the others).  Even if you 
had multiple media you really wouldn't be doing anything except moving the 
protons around (of course the agreement then wouldn't be perfect as there would 
be discrepancies between the different media) and there would be absolutely no 
interaction with the X-ray data.

Now, if you had measured NC' or CaC' RDCs, i.e. backbone which is impacted by 
the X-ray data you would find that the X-ray data would always dominate and 
there would be minimal improvement in agreement with the RDCs and minimal 
shifts in the backbone coordinates.

Marius

________________________________________
From: Gabriel Cornilescu [[email protected]] on behalf of Gabriel 
Cornilescu [[email protected]]
Sent: Wednesday, October 26, 2016 8:43 PM
To: Emmanouilidis, Leonidas
Cc: Clore, Marius (NIH/NIDDK) [E]; [email protected]
Subject: Re: [Xplor-nih] refine.py script handling off RDCs

Yes, the refine.py script in the eginput/gb1_rdc uses torsion angle
dynamics. The script has a comment section about expt. error scaling.
This is mentioned in the xplor-nih documentation as well. Moreover, most
papers and reviews on structural refinement using RDCs discuss this
important issue in more detail.

E.g. see:

see min. 44 of:
https://www.youtube.com/watch?v=bmx56Fjv8Hc

and
https://spin.niddk.nih.gov/clore/Pub/pdf/325.pdf



On 10/26/16 6:42 PM, Emmanouilidis, Leonidas wrote:
I think this was done by the default refine.py script. Or?




On Oct 26, 2016, at 10:26 PM, Clore, Marius (NIH/NIDDK) [E] wrote:

The other thing you need to do if you're going to fit NH RDCs together with 
X-ray data is make sure you're in torsion angle dynamics mode so that the 
covalent geometry is fixed. Otherwise you can always move the proton of the NH 
bond to fit the RDCs perfectly and of course this will have absolutely no 
impact on the agreement with the X-ray data as the X-ray scattering doesn't see 
protons.


-------------------------------
G. Marius Clore, MD, PhD
NIH Distinguished Investigator
Chief, Protein NMR Section
Laboratory of Chemical Physics
Bldg 5, Room B1-30I
NIDDK, National Institutes of Health
Bethesda, MD 20892-0520
Tel: (301) 496 0782
Fax: (301) 496 0825
e-mail: [email protected]
web: http://spin.niddk.nih.gov/clore (Clore lab homepage)
         http://www.nasonline.org/member-directory/members/20033168.html 
(National Academy of Sciences web page)
         http://www.ae-info.org/ae/User/Clore_G._Marius (Academia Europaea web 
page)
________________________________________
From: Gabriel Cornilescu [[email protected]]
Sent: Wednesday, October 26, 2016 3:39 PM
To: Emmanouilidis, Leonidas
Cc: [email protected]
Subject: Re: [Xplor-nih] refine.py script handling off RDCs

Hi Leonidas,
over fitted
I think the refinement worked fine, it's just indeed overfitted single
set of NH RDCs. It's easy to get the gb1 backbone to fit a single set of
NH RDCs by small torsion angle changes (see attached plot
refine_0_vs_start_model.png). You can see how the backbone was locally
deformed at residue Glu-15 to fit the RDC you changed from -9 to +5 Hz.

If you fit the original set of RDCs to one of the structures you
calculated, you'll see that xplor fitted very well the original RDCs and
that the ones you altered are large outliers:
calcTensor -aveType sum -normType none -plot -showRDCs
tmv107_nh_orig.tbl refine_0.sa
(see attached refine_0_fit_orig_rdc.png)

Adding the bicelle NH RDCs (attached as gb1_two_media.tar.gz) will
substantially reduce over fitting either set (rmsds are around 0.8-1.0 Hz):
calcTensor -aveType sum -normType none -plot -showRDCs tmv107_nh.tbl
refine_0.sa
(refine_0_with_bicelle_rdc.png attached). Again Lys-31 (with RDC changed
from +8 to -8Hz) stands out as an outlier.


The weight of the RDCs was high in that example to enforce agreement
with lots of RDCs in two media (including lots of small long-range ones,
with larger exp. errors).

When using a single set in a single medium you therefore need to reduce
the weight of the RDCs until the scatter in the calculated structures
matches the experimental errors, i.e. change:
rampedParams.append( MultRamp(0.05,5.0, "rdcs.setScale( VALUE )") )

to something like:
rampedParams.append( MultRamp(0.05,0.2, "rdcs.setScale( VALUE )") )

So basically you can fit efficiently your X-ray structure to a set of
RDCs (but make sure you don't over-fit it). If you have independent sets
of RDCs you can use them initially to cross validate your results and
later include them all in the refinement.

Hope it makes sense,
Gabriel

On 10/26/2016 09:16 AM, Emmanouilidis, Leonidas wrote:
Dear Dr Cornilescu,

please find attached the folder as you asked. If you need anythin else please 
let me know.

kind regards,
Leonidas Emmanouilidis



________________________________________
From: Gabriel Cornilescu <[email protected]> on behalf of Gabriel Cornilescu 
<[email protected]>
Sent: Tuesday, October 25, 2016 8:53 PM
To: Emmanouilidis, Leonidas
Cc: [email protected]; Charles Schwieters
Subject: Re: [Xplor-nih] refine.py script handling off RDCs

If you can tar and zip the folder containing your test (except the huge
xplor output file) and email it to me I will take a look.


On 10/25/16 10:24 AM, Emmanouilidis, Leonidas wrote:
thank you very much for the suggestion.

I have tried as you suggested, having random RDC values for residues 
16,29,31,39,48,53 of gb1. The result was the same. Converence with perfect 
correlation obs/calc without really violations.






________________________________________
From: [email protected] [[email protected]] on behalf of Gabriel 
Cornilescu [[email protected]]
Sent: Monday, October 24, 2016 11:18 PM
To: Emmanouilidis, Leonidas
Cc: [email protected]; Charles Schwieters
Subject: Re: [Xplor-nih] refine.py script handling off RDCs

That doesn't tell much,  it's equivalent to having a 6% larger alignment tensor 
and the fit has to be identical. Try to either scramble a few assignments or 
add/subtract a few Hertz from just a handful of RDCs to see a difference.

On Oct 24, 2016 3:52 PM, "Emmanouilidis, Leonidas" 
<[email protected]<mailto:[email protected]>> wrote:
by random I mean addition of 6Hz to all HN-N rdcs.




On Oct 24, 2016, at 10:43 PM, Gabriel Cornilescu wrote:


When you say random,  are you scrambling the assignments,  changing the RDC 
values randomly by 6%, or changing their associated errors?

On Oct 24, 2016 3:30 PM, "Emmanouilidis, Leonidas" 
<[email protected]<mailto:[email protected]>> wrote:
This is relative simple.
If one runs the tutorial-based gb1 RDC refinement protocol (refine.py) but with 
hn RDCs values completely random (+6Hz noise to each), the outcome is a 
seemingly successful refinement with no errors.
I did the test using just the hn RDCs.





On Oct 24, 2016, at 10:11 PM, Charles Schwieters wrote:

Hello Leonidas--

while I am trying to refine a crystal structure with RDCs using the
refine.py script, I came across a weird result.

I had near perfect correlation between observed and calculated RDCs
values, which was fishy. After addition of 5Hz systematic noise to all
RDCs, i still had perfect correlation and nice convergence with no
violations(!). Initially i thought that there was something wrong with
my experimental setup (since i only used RDCs+dihedrals restrains),
but I had exactly the same result when I changed also the gb1 tutorial
RDCs values.
So to sum it up, I used the tutorial script (refine.py) and input
files for RDC refinement, regardless of how much I alter the RDCs
values (i tried up to +6Hz noise addition) I get always nice
convergence, perfect correlation obs/calc with no violations.

Is this how it should be or do I miss/mess somthing?

Not sure what's going on- we'll need more details.

best regards--
Charles
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--

Thanks,
Gabriel

https://sites.google.com/a/wisc.edu/gabrielc/

--

Thanks,
Gabriel

https://sites.google.com/a/wisc.edu/gabrielc/


--

Thanks,
Gabriel

https://sites.google.com/a/wisc.edu/gabrielc/

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