Hello,

B-factors actually do have a physical meaning which is at least to some extent reflected by the crystal structures as refined. This can be demonstrated at higher resolution structures: when we created three tiers of structures, better than 1.9 Å, 1.9-2.4 Å, and 2.4-3.0 Å, structures in the first one showed distinct distributions of B factors for the amino acid side chain/main chain atoms inside and outside the protein, for DNA bases, and phosphates, and for water at the interface, and on the biomolecule surface. The distinction is less clear for the 1.9-2.4 Å structures and is lost completely below that resolution limit.

We think that the distributions for the high resolution structures can be developed into meaningful set of constraints and/or validation criteria.

If interested, you can read more in our open access paper Acta Cryst. (2014). D70, 2413–2419 (doi:10.1107/S1399004714014631).

Best regards,

Bohdan, bs.structbio.org

On 2020-03-11 16:41, Gerard DVD Kleywegt wrote:
If this is the case, why can't we use model B factors to validate our structure? I know some people are skeptical about this approach because B factors are refinable parameters.

Rangana

It is not clear to me exactly what you are asking.

B factors _should_ be validated, precisely because they are refined parameters
that are part of your model.   Where have you seen skepticism?

Rangana said that B-values should not be used *to validate structures*, NOT that B-values themselves shouldn't be validated themselves.

I suppose I am at least in part to blame for the former notion and the reason for this (at least circa 1995 when the Angry Young Men from Uppsala first starting harping on about this) was that B-values tend(ed) to be error sinks which could "absorb" all sorts of errors and phenomena in addition to modelling atomic displacement (e.g., unresolved disorder, unresolved NCS differences, incorrect restraints, incorrect atom types modelled, partial ocupancies, etc.).

--Gerard

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                            Gerard J. Kleywegt

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