Seriously? 
I believe this specific forum has become quicksand rather than a useful tool. 
Normalization based simply on ratios of one struct to the other should allow 
normalization. Correct?, or have I just simply lost my mind here?
J

John Fisher, M.D./PhD
St. Jude Children's Research Hospital
Department of Oncology
Department of Structural Biology
W: 901-595-6193
C: 901-409-5699

On Mar 4, 2013, at 1:26 PM, James Holton <[email protected]> wrote:

> 
> No, you can only add and subtract B values because that is mathematically 
> equivalent to multiplication in reciprocal space (which is equivalent to 
> convolution in real space):
> 
> exp(-B1*s^2) * exp(-B2*s^2) = exp(-(B1+B2)*s^2)
> 
> Multiplying and dividing B values is mathematically equivalent to applying 
> fractional power-law or fractional root functions in reciprocal space (and I 
> don't even want to think about what that does in real space).
> 
> exp(-B1*B2*s^2) = ???
> 
> -James Holton
> MAD Scientist
> 
> 
> On 3/4/2013 11:19 AM, Bosch, Juergen wrote:
>> Yep, I agree calculate the average B per structure and divide each B by this 
>> value, then multiply it by any value that is reasonable so you can visualize 
>> color differences :-)
>> Jürgen
>> 
>> On Mar 4, 2013, at 2:16 PM, Jacob Keller wrote:
>> 
>>> You only entertain addition+subtraction--why not use 
>>> multiplication/division to normalize the b-factors?
>>> 
>>> JPK
>>> 
>>> On Mon, Mar 4, 2013 at 2:04 PM, James Holton <[email protected]> wrote:
>>>> Formally, the "best" way to compare B factors in two structures with 
>>>> different average B is to add a constant to all the B factors in the low-B 
>>>> structure until the average B factor is the same in both structures.  Then 
>>>> you can                   compare "apples to apples" as it were.  The 
>>>> "extra B" being added is equivalent to "blurring" the more well-ordered 
>>>> map to make it match the less-ordered one. Subtracting a B factor from the 
>>>> less-ordered structure is "sharpening", and the reason why you shouldn't 
>>>> do that here is because you'd be assuming that a sharpened map has just as 
>>>> much structural information as the better diffracting crystal, and that's 
>>>> obviously no true (not as many spots).   In reality, your comparison will 
>>>> always be limited by the worst-resolution data you have.
>>>> 
>>>> Another reason to add rather than subtract a B factor is because B factors 
>>>> are not really "linear" with anything sensible.  Yes, B=50 is "more 
>>>> disordered" than B=25, but is it "twice as disordered"? That depends on 
>>>> what you mean by "disorder", but no matter how you look at it, the answer 
>>>> is generally "no".
>>>> 
>>>> One way to define the "degree of disorder" is the volume swept out by the 
>>>> atom's nucleus as it "vibrates" (or otherwise varies from cell to cell).  
>>>> This is NOT proportional to the B-factor, but rather the 3/2 power of the 
>>>> B factor.   Yes, 3/2 power.  The value of "B", is proportional to the 
>>>> SQUARE of the width of the probability distribution of the nucleus, so to 
>>>> get the volume of space swept out by it you have to take the square root 
>>>> to get something proportional the the width and then you take the 3rd 
>>>> power to get something proportional to the volume.
>>>> 
>>>> An then, of course, if you want to talk about the electron cloud (which is 
>>>> what x-rays "see") and not the nuclear position (which you can only see if 
>>>> you are a neutron person), then you have to "add" a B factor of about 8 to 
>>>> every atom to account for the intrinsic width of the electron cloud.  
>>>> Formally, the B factor is "convoluted" with the intrinsic atomic form 
>>>> factor, but a "native" B factor of 8 is pretty close for most atoms.
>>>> 
>>>> For those of you who are interested in something more exact than 
>>>> "proportional" the equation for the nuclear probability distribution 
>>>> generated by a given B factor is:
>>>> kernel_B(r) = (4*pi/B)^1.5*exp(-4*pi^2/B*r^2)
>>>> where "r" is the distance from the "average position" (aka the x-y-z 
>>>> coordinates in the PDB file).  Note that the width of this distribution of 
>>>> atomic positions is not really an "error bar", it is a "range".  There's a 
>>>> difference between an atom actually being located in a variety of places 
>>>> vs not knowing the centroid of all these locations.  Remember, you're 
>>>> averaging over trillions of unit cells.  If you collect a different 
>>>> dataset from a similar crystal and re-refine the structure the final x-y-z 
>>>> coordinate assigned to the atom will not change all that much.
>>>> 
>>>>   The full-width at half-maximum (FWHM) of this kernel_B distribution is:
>>>>  fwhm = 0.1325*sqrt(B)
>>>> and the probability of finding the nucleus within this radius is actually 
>>>> only about 29%.  The radius that contains the nucleus half the time is 
>>>> about 1.3 times wider, or:
>>>> r_half = 0.1731*sqrt(B)
>>>> 
>>>> That is, for B=25, the atomic nucleus is within 0.87 A of its average 
>>>> position 50% of the time (a volume of 2.7 A^3).  Whereas for B=50, it is 
>>>> within 1.22 A 50% of the time (7.7 A^3).  Note that although B=50 is twice 
>>>> as big as B=25, the half-occupancy radius 0.87 A is not half as big as 
>>>> 1.22 A, nor are the volumes 2.7 and 7.7 A^3 related by a factor of two.
>>>> 
>>>> Why is this important for comparing two structures?   Since the B factor 
>>>> is non-linear with disorder, it is important to have a common reference 
>>>> point when comparing them.  If the low-B structure has two atoms with B=10 
>>>> and B=15 with average overall B=12, that might seem to be "significant" 
>>>> (almost a factor of two in the half-occupancy volume) but if the other 
>>>> structure has an average B factor of 80, then suddenly 78 vs 83 doesn't 
>>>> seem all that different (only a 10% change).  Basically, a difference that 
>>>> would be "significant" in a high-resolution structure is "washed out" by 
>>>> the overall crystallographic B factor of the low-resolution structure in 
>>>> this case.
>>>> 
>>>> Whether or not a 10% difference is "significant" depends on how accurate 
>>>> you think your B factors are.  If you "kick" your coordinates (aka using 
>>>> "noise" in                   PDBSET) and re-refine, how much do the final 
>>>> B factors change?
>>>> 
>>>> -James Holton
>>>> MAD Scientist
>>>> 
>>>> 
>>>> On 2/25/2013 12:08 PM, Yarrow Madrona wrote:
>>>>> Hello,
>>>>> 
>>>>> Does anyone know a good method to compare B-factors between structures? I
>>>>> would like to compare mutants to a wild-type structure.
>>>>> 
>>>>> For example, structure2 has a higher B-factor for residue X but how can I
>>>>> show that this is significant if the average B-factor is also higher?
>>>>> Thank you for your help.
>>> 
>>> 
>>> 
>>> -- 
>>> *******************************************
>>> Jacob Pearson Keller, PhD
>>> Postdoctoral Associate
>>> HHMI Janelia Farms Research Campus
>>> email: [email protected]
>>> *******************************************
>> 
>> ......................
>> Jürgen Bosch
>> Johns Hopkins University
>> Bloomberg School of Public Health
>> Department of Biochemistry & Molecular Biology
>> Johns Hopkins Malaria Research Institute
>> 615 North Wolfe Street, W8708
>> Baltimore, MD 21205
>> Office: +1-410-614-4742
>> Lab:      +1-410-614-4894
>> Fax:      +1-410-955-2926
>> http://lupo.jhsph.edu
> 

Reply via email to