Structure superposition tools: Difference between revisions
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The statistical significance of a structural alignment, relative to an alignment of random sequence-nonredundant structures in the [[PDB]], is usually measured with a '''[http://en.wikipedia.org/wiki/Standard_score z-score]'''. The z-score is the distance, in standard deviations, between the observed alignment RMSD and the mean RMSD for random pairs of the same length, with the same or fewer gaps. Z-scores less than 2 are considered to lack statistical significance. | The statistical significance of a structural alignment, relative to an alignment of random sequence-nonredundant structures in the [[PDB]], is usually measured with a '''[http://en.wikipedia.org/wiki/Standard_score z-score]'''. The z-score is the distance, in standard deviations, between the observed alignment RMSD and the mean RMSD for random pairs of the same length, with the same or fewer gaps. Z-scores less than 2 are considered to lack statistical significance. | ||
==Visualizing Structural Alignments== | |||
Structural alignments are usually visualized as the superimposed backbone traces of the aligned models. | |||
It is very helpful to color the target alpha carbons by deviation from the query model: red indicates large deviations (poor alignment) while blue indicates small deviations (good alignment), with white indicating average alignment. The stand-alone programs [[#DeepView = Swiss-PDBViewer]] and [[#PyMOL]] color alignments by RMSD but the results cannot be easily exported to Jmol. Surprisingly, none of the servers listed below color their alignments by deviation. Unfortunately, I found NO way to color the alignment by RMSD in Jmol. | |||
[[#FATCAT]] adds two useful visualization enhancements. First, it has a | |||
==Recommendation== | ==Recommendation== | ||
