[Chimera-users] Molmap incorporation of B-factors

[Tom Goddard]

Would be nice to include B-factors in the molmap calculation of a density map from an atomic model.  Currently adds a Gaussian for each atom and all Gaussians have the same width (standard deviation) computed from the specified resolution and sigmaFactor as described in the documentation.

	https://www.cgl.ucsf.edu/chimera/docs/UsersGuide/midas/molmap.html <https://www.cgl.ucsf.edu/chimera/docs/UsersGuide/midas/molmap.html>

I’ve made a Chimera feature request for this — more likely to go into Chimera 2 than Chimera 1.

	https://plato.cgl.ucsf.edu/trac/chimera/ticket/14258

  Tom




> On Oct 29, 2015, at 8:58 AM, Oliver Clarke <olibclarke at gmail.com> wrote:
> 
> Hi all,
> 
> For the purposes of model validation, I’d like to analyze local correlation of my model with the experimental map (and color it on either/both the model or map). I figured the easiest way to do this is to use molmap to generate a synthetic map, then use vop local correlation to generate a correlation map which I can use to color either the model or map (using scolor or “Values at Atom Positions”). 
> 
> This works fine, and generates informative looking pictures, I just wanted to clarify exactly what molmap is doing, to make sure I understand it. 
> 
> Am I correct in thinking molmap does not use a per-atom temperature factor (or alter the width of the gaussian depending on the atomic B-factor)? 
> 
> Because if this is the case I guess the way I am doing things will exaggerate how bad the model is in regions where the B-factor is high and the density weak (which is not the worst thing in the world - better than having an unrealistically rosy view of one’s model!). 
> 
> Would it be possible to incorporate atomic B-factors into molmap calculations for Chimera 2? Or does anyone know of an external program that will perform a similar calculation (I know I can generate RSCC plots in Phenix which must be doing this internally, but I rather like displaying it on the model and map for ease of interpretation).
> 
> Cheers,
> Oliver.
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