bio3d (version 2.3-4)

dm: Distance Matrix Analysis

Description

Construct a distance matrix for a given protein structure.

Usage

dm(…)
# S3 method for pdb
dm(pdb, inds = NULL, grp = TRUE, verbose=TRUE, …)
# S3 method for pdbs
dm(pdbs, …)
# S3 method for xyz
dm(xyz, grpby = NULL, scut = NULL, mask.lower = TRUE, 
                  gc.first=FALSE, ncore=1, …)

Arguments

pdb

a pdb structure object as returned by read.pdb or a numeric vector of ‘xyz’ coordinates.

inds

atom and xyz coordinate indices obtained from atom.select that selects the elements of pdb upon which the calculation should be based.

grp

logical, if TRUE atomic distances will be grouped according to their residue membership. See ‘grpby’.

verbose

logical, if TRUE possible warnings are printed.

pdbs

a ‘pdbs’ object as returned by read.fasta.pdb or pdbaln.

xyz

a numeric vector or matrix of Cartesian coordinates.

grpby

a vector counting connective duplicated elements that indicate the elements of xyz that should be considered as a group (e.g. atoms from a particular residue).

scut

a cutoff neighbour value which has the effect of excluding atoms, or groups, that are sequentially within this value.

mask.lower

logical, if TRUE the lower matrix elements (i.e. those below the diagonal) are returned as NA.

gc.first

logical, if TRUE will call gc() first before calculation of distance matrix. This is to solve the memory overload problem when ncore > 1 and xyz has many rows/columns, with a bit sacrifice on speed.

ncore

number of CPU cores used to do the calculation. ncore>1 requires package ‘parallel’ installed.

…

arguments passed to and from functions.

Value

Returns a numeric matrix of class "dmat", with all N by N distances, where N is the number of selected atoms. With multiple frames the output is provided in a three dimensional array.

Details

Distance matrices, also called distance plots or distance maps, are an established means of describing and comparing protein conformations (e.g. Phillips, 1970; Holm, 1993).

A distance matrix is a 2D representation of 3D structure that is independent of the coordinate reference frame and, ignoring chirality, contains enough information to reconstruct the 3D Cartesian coordinates (e.g. Havel, 1983).

References

Grant, B.J. et al. (2006) Bioinformatics 22, 2695--2696.

Phillips (1970) Biochem. Soc. Symp. 31, 11--28.

Holm (1993) J. Mol. Biol. 233, 123--138.

Havel (1983) Bull. Math. Biol. 45, 665--720.

See Also

plot.dmat, read.pdb, atom.select

Examples

# NOT RUN {
# PDB server connection required - testing excluded

##--- Distance Matrix Plot
pdb <- read.pdb( "4q21" )
k <- dm(pdb,inds="calpha")
filled.contour(k, nlevels = 10)

## NOTE: FOLLOWING EXAMPLE NEEDS MUSCLE INSTALLED
if(check.utility("muscle")) {

##--- DDM: Difference Distance Matrix
# Downlaod and align two PDB files
pdbs <- pdbaln( get.pdb( c( "4q21", "521p"), path = tempdir() ), outfile = tempfile() )

# Get distance matrix
a <- dm.xyz(pdbs$xyz[1,])
b <- dm.xyz(pdbs$xyz[2,])

# Calculate DDM
c <- a - b

# Plot DDM
plot(c,key=FALSE, grid=FALSE)

plot(c, axis.tick.space=10,
     resnum.1=pdbs$resno[1,],
     resnum.2=pdbs$resno[2,],
     grid.col="black",
     xlab="Residue No. (4q21)", ylab="Residue No. (521p)")
}
# }
# NOT RUN {
# }
# NOT RUN {
##-- Residue-wise distance matrix based on the
##   minimal distance between all available atoms
l <- dm.xyz(pdb$xyz, grpby=pdb$atom[,"resno"], scut=3)
# }