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Re: [ccp4bb] What is an aceptable spread in ADP values? |
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CCP4bb navigationCCP4bb <-- 1999 <-- November 1999 <-- 30 November 1999Subject: Re: What is an aceptable spread in ADP values? From: Pavel Afonine PAfonine {- at -} LBL {- dot -} GOV Date: 2010-02-03 Dear Ed, > Tightly restrained refinement will be equivalent to > torsion angle parametrization, since bonds and angles are essentially > fixed (but dihedrals are not). Simply not true. Think why -:) Hint: in restrained refinement the weight applies to all terms - bonds, angles, torsions, etc... So if you choose tight weight in such refinement the torsions will be restrained as tightly as other terms (at least as it would be in CNS or phenix.refine). In torsion angle refinement (which is, in fact, a constrained rigid-body refinement) you still have weights, and you can make your torsion angle refinement as tight as you like. > Similarly, properly tight restraints on > individual B-factors are not equivalent to grouped B-factors (in > whatever sense) because they can capture the distribution throughout the > structure. > I don't see why two-B per residue wouldn't capture this distribution *throughout the structure* (it definitely wouldn't throughout the residue). > I think the example that Jose Antonio originally provided (at 3.1A, not > 4A) clearly demonstrates that it makes more sense to do properly > restrained individual B-factor refinement than > two-adp-groups-per-residue refinement. Do you disagree specifically on > this issue? Of course no. This is why when I reply on bb to questions like this: "which B-factor, group or individual, do I need to refine at say 3.1A resolution", I always suggest to run these refinement jobs and see which one gives the best result: 1) TLS + individual isotropic ADP refinement (tls+individual_adp); 2) TLS + group individual ADP refinement (tls+group_adp); 3) individual isotropic ADP refinement; 4) group individual ADP refinement (with one refinable B per residue); 5) group individual ADP refinement (with two refinable B per residue). + on top of it you can add automatic weights optimization to remove the arbitrariness in what is "loose" and "tights" restraints. This will give the conclusive, rock solid answer about which ADP parameterization and refinement protocol is good for given model and data. An alternative is an endless speculation. In the future the proper parameterization will be chosen automatically based on a large array of data, model and map characteristics. > The existing > two-adp-groups-per-residue implementation (CNS and phenix) is, imho, an > example of *improper* parametrization. As you see, in phenix.refine you can combine any B-factor refinement strategy with any (group, individual iso, aniso, tls), and apply it to any selected part of your structure. So, I assume at this point of the software automation, it is up to a smart researcher to decide which refinement strategy to use. You cannot blame the software for giving you the freedom to do what you may want to do. For example, if you choose to refine two-B-factors per residue when you could safely refine individual B-factors, it will be the example of improper parameterization that you have chosen (and not the software did for you). In phenix.refine technically you can refine individual isotropic or anisotropic B-factors at any resolution - the program will not crash, and it will be up to the user whether he/she will enjoy the results. Like I said, in the future the model parameterization will be done automatically. I guess I'm going off this discussion - otherwise phenix.refine will get less new options in the future if I keep writing -:) All the best! Pavel. CCP4bb navigationCCP4bb <-- 1999 <-- November 1999 <-- 30 November 1999 |
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