MobilityBarplot: Mobility Barplots

In vanddraabe: Identification and Statistical Analysis of Conserved Waters Near Proteins

Description

Mobility Barplots for Cluster with at least 50% Conservation

Usage

MobilityBarplot(data, passed.waters = TRUE)

Arguments

data	The h2o.clusters.summary data.frame from the ClusterWaters() function containing the mobility.mu information.
passed.waters	Logical indicator to plot results for waters passing Mobility() and NormalizedBvalue() OR using all waters within the PDB files.

Details

Constructs a barplot with corresponding density plot for the mean mobility value for all water within each cluster with at least 50% water conservation. Clusters with 50 to 69% water conseration are dark red, clusters with 70 to 79% conservation are red, 80 to 89% conservation are light blue, 90 to 99% conservation are blue, and 100% conservation (waters from all structures) are dark blue.

The mobility values are calculated by the Mobility() function.

This plot was inspired by Figure 1 of Sanschagrin and Kuhn (1998).

Author(s)

Emilio Xavier Esposito [e-mail]

References

Paul C Sanschagrin and Leslie A Kuhn. Cluster analysis of consensus water sites in thrombin and trypsin shows conservation between serine proteases and contributions to ligand specificity. Protein Science, 1998, 7 (10), pp 2054-2064. DOI: 10.1002/pro.5560071002 PMID: 9792092 WatCH webpage

See Also

Other plots: BoundWaterEnvPlots, BoundWaterEnvSummaryPlot, BvalueBarplot.summ, BvalueBarplot, ClusterSummaryPlots, MobNormBvalEvalPlots, MobilityBarplot.summ, OccupancyBarplot.summ, OccupancyBarplot, nBvalueBarplot, normBvalueBarplot.summ

Examples

  ## Not run: 
  mobility.plot <- MobilityBarplot(data=thrombin10.conservedWaters,
                                   passed.waters=TRUE)
  
## End(Not run)

vanddraabe documentation built on June 8, 2019, 1:03 a.m.