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Hi Raji:

Just to make this clear; sorry if I mispresented anything.  In both cases
the variables are minimum -- only rigid body refinement and nothing else. 
i.e. rigid.inp in CNS and "refi type rigid" in refmac.

Weikai

On Thu, May 18, 2006 3:59 pm, Raji Edayathumangalam wrote:
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>
>
> I've done some crude comparisons for a couple of different structures
> and ended up with differences in the range of ~1% between the programs. But
> during the comparison, the refinement protocol in CNS included
> minimization, b-group/individual and playing with no. of cycles (for same
> structure from Refmac minus TLS) before the program honed in on similar
> values.
>
> I am not sure the rigid body refinement output in CNS (if that's what
> you meant) can be directly compared with Refmac output and 'might' explain
> the differences in the R-factors. Did you try some more refinement in CNS
> to see if the 5% difference decreases/disappears?
>
> Someone pl. correct me if you think CNS rigid body equals (in
> theory/philosophy) Refmac refinement routine.
>
> Raji
>
>
>
>
>
> [EMAIL PROTECTED] wrote:
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>>
>>
>>
>> Hi All:
>>
>>
>> I have two questions for the bulk solvent model:
>>
>>
>> 1.  Maybe I missed this in reading the manual, but in Refmac is there a
>>  way of inputting an mask to define the bulk solvent?  Or it is always
>> done automatically using the keyword SOLVENT?
>>
>> 2.  Is the bulk solvent model in Refmac somehow different from that in
>> CNS?  For one of my low resolution data to 7A, the bulk solvent model in
>>  Refmac seems to behave much better than that in CNS.  I only use rigid
>>  body refinement and there is no TLS refinement in Refmac.  So in this
>> case, maybe the major difference of R factor using these two programs
>> would come from the bulk solvent models (maybe also the scaling of Fc
>> to Fobs, or maximum likelyhood, etc.?).  Anyway the R factors differ by
>> 10%
>> using the two different programs (40% in CNS vs. 30% in Refmac) when
>> both have a bulk solvent model.  If I turn off bulk solvent estimation
>> in CNS, the R factor drops by 5% (i.e. now R=35% in CNS).
>>
>> Regards,
>>
>>
>> Weikai
>>
>>
>>
>>
>


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