Local error estimates dramatically improve the utility of homology models for solving crystal structures by molecular replacement.
Local error estimates dramatically improve the utility of homology models for solving crystal structures by molecular replacement.
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DOI:
10.1016/j.str.2014.11.020
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发表时间:
2015-02-03
期刊:
影响因子:
5.7
通讯作者:
Read, Randy J.
中科院分区:
文献类型:
--
作者:
Bunkoczi, Gabor;Wallner, Bjorn;Read, Randy J.
Predicted structures submitted for CASP10 have been evaluated as molecular replacement models against the corresponding sets of structure factor amplitudes. It has been found that the log-likelihood gain score computed for each prediction correlates well with common structure quality indicators but is more sensitive when the accuracy of the models is high. In addition, it was observed that using coordinate error estimates submitted by predictors to weight the model can improve its utility in molecular replacement dramatically, and several groups have been identified who reliably provide accurate error estimates that could be used to extend the application of molecular replacement for low-homology cases. Error estimates increase the value of homology models for molecular replacement Poorer models with good error estimates trump better models without errors A simple protocol creates coordinate error estimates for individual models Local coordinate error estimates enable molecular replacement for more targets Although estimating the size of local errors in homology models is not common practice, Bunkóczi et al. show that the provision of error estimates can have a substantial practical impact in the utility of these models when used to solve crystal structures by molecular replacement.
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