layout.cna | R Documentation |
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. |
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)
}
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