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Local Error Estimates Dramatically Improve the Utility of Homology Models for Solving Crystal Structures by Molecular Replacement

Overview of attention for article published in Folding & Design, January 2015
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Title
Local Error Estimates Dramatically Improve the Utility of Homology Models for Solving Crystal Structures by Molecular Replacement
Published in
Folding & Design, January 2015
DOI 10.1016/j.str.2014.11.020
Pubmed ID
Authors

Gábor Bunkóczi, Björn Wallner, Randy J. Read

Abstract

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.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Czechia 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Researcher 4 18%
Student > Master 3 14%
Professor > Associate Professor 2 9%
Student > Doctoral Student 1 5%
Other 4 18%
Unknown 1 5%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 32%
Agricultural and Biological Sciences 6 27%
Chemistry 4 18%
Computer Science 1 5%
Philosophy 1 5%
Other 2 9%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2015.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Folding & Design
#3,291
of 3,731 outputs
Outputs of similar age
#253,160
of 359,659 outputs
Outputs of similar age from Folding & Design
#46
of 58 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,731 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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