addenda and errata
Pushing the boundaries of
with ErratumaDepartment of Haematology, University of Cambridge, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Hills Road, Cambridge CB2 2XY, England
*Correspondence e-mail: rjr27@cam.ac.uk
In the calculations testing (2001). Acta Cryst. D57, 1373–1382 ] simulated data constructed to test methods in the presence of known errors were used inadvertently. The test calculations have been repeated using the measured data, and the results are given.
molecular-replacement methods reported in the paper by Read [Keywords: molecular replacement; maximum likelihood; multivariate statistics; Beast.
In the reported calculations testing ) on the structure of Streptomyces griseus trypsin (SGT), I inadvertently used simulated data computed from the final refined structure of SGT (Read & James, 1986). The simulated data had been constructed to test methods in the presence of known errors. The test calculations have been repeated using the measured data, and the results are given in new Tables 1 and 2. The original conclusions are upheld, except that in a translation search with an orientation in error by 6.9°, the correct translation no longer has the highest likelihood score. However, when this translation search is repeated, increasing the assumed r.m.s. error of the molecular-replacement model from the default value of 1.4 to 2.0 Å to compensate for the effect of orientation error, the correct translation again has the highest likelihood score. As before, the discrimination from incorrect translations is poor with the most inaccurate orientation.
molecular-replacement methods (Read, 2001
‡Compared with final orientation from after rigid-body |
‡Results from run in which r.m.s. error of 2 Å was assumed instead of default of 1.4 Å, to compensate for effect of orientation error. |
References
Read, R. J. (2001). Acta Cryst. D57, 1373–1382. Web of Science CrossRef CAS IUCr Journals Google Scholar
Read, R. J. & James, M. N. G. (1988). J. Mol. Biol. 200, 523–551. CrossRef CAS PubMed Web of Science Google Scholar
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