layout.cna.Rd
Determine protein structure network layout in 2D and 3D from the geometric center of each community.
layout.cna(x, pdb, renumber=TRUE, k=2, full=FALSE)
x | A protein structure network object as obtained from the ‘cna’ function. |
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pdb | A pdb class object as obtained from the ‘read.pdb’ function. |
renumber | Logical, if TRUE the input ‘pdb’ will be re-numbered starting at residue number one before community coordinate averages are calculated. |
k | A single element numeric vector between 1 and 3 specifying the returned coordinate dimensions. |
full | Logical, if TRUE the full all-Calpha atom network coordinates will be returned rather than the default clustered network community coordinates. |
This function calculates the geometric center for each community from the atomic position of it's Calpha atoms taken from a corresponding PDB file. Care needs to be taken to ensure the PDB residue numbers and the community vector names/length match.
The community residue membership are typically taken from the input network object but can be supplied as a list object with 'x$communities$membership'.
A numeric matrix of Nxk, where N is the number of communities and k the number of dimensions requested.
Guido Scarabelli and Barry Grant
plot.cna
, plot.communities
,
igraph.plotting
,
plot.igraph
if (!requireNamespace("igraph", quietly = TRUE)) { message('Need igraph installed to run this example') } else { # Load the correlation network attach(hivp) # Read the starting PDB file to determine atom correspondence pdbfile <- system.file("examples/hivp.pdb", package="bio3d") pdb <- read.pdb(pdbfile) # Plot will be slow #xy <- plot.cna(net) #plot3d.cna(net, pdb) layout.cna(net, pdb, k=3) layout.cna(net, pdb) # can be used as input to plot.cna and plot3d.cna.... # plot.cna( net, layout=layout.cna(net, pdb) ) # plot3d.cna(net, pdb, layout=layout.cna(net, pdb, k=3)) detach(hivp) }