overlap | R Documentation |
Calculate the squared overlap between sets of vectors.
overlap(modes, dv, nmodes=20)
modes |
an object of class |
dv |
a displacement vector of length 3N. |
nmodes |
the number of modes in which the calculation should be based. |
Squared overlap (or dot product) is used to measure the similiarity between a displacement vector (e.g. a difference vector between two conformational states) and mode vectors obtained from principal component or normal modes analysis.
By definition the cumulative sum of the overlap values equals to one.
Structure modes$U
(or alternatively, the 3NxM matrix of eigenvectors)
should be of same length (3N) as dv
.
Returns a list with the following components:
overlap |
a numeric vector of the squared dot products (overlap values)
between the (normalized) vector ( |
overlap.cum |
a numeric vector of the cumulative squared overlap values. |
Lars Skjaerven
Skjaerven, L. et al. (2011) Proteins 79, 232–243. Grant, B.J. et al. (2006) Bioinformatics 22, 2695–2696.
rmsip
, pca.xyz
, nma
,
difference.vector
attach(kinesin)
# Ignore gap containing positions
##gaps.res <- gap.inspect(pdbs$ali)
gaps.pos <- gap.inspect(pdbs$xyz)
#-- Do PCA
pc.xray <- pca.xyz(pdbs$xyz[, gaps.pos$f.inds])
# Define a difference vector between two structural states
diff.inds <- c(grep("d1v8ka", pdbs$id),
grep("d1goja", pdbs$id))
dv <- difference.vector( pdbs$xyz[diff.inds,], gaps.pos$f.inds )
# Calculate the squared overlap between the PCs and the difference vector
o <- overlap(pc.xray, dv)
o <- overlap(pc.xray$U, dv)
# Plot results
plot(o$overlap, type='h', ylim=c(0,1))
points(o$overlap)
lines(o$overlap.cum, type='b', col='red')
detach(kinesin)
## Not run:
## Calculate overlap from NMA
pdb.a <- read.pdb("1cmk")
pdb.b <- read.pdb("3dnd")
## Fetch CA coordinates
sele.a <- atom.select(pdb.a, chain='E', resno=c(15:350), elety='CA')
sele.b <- atom.select(pdb.b, chain='A', resno=c(1:350), elety='CA')
xyz <- rbind(pdb.a$xyz[sele.a$xyz],
pdb.b$xyz[sele.b$xyz])
## Superimpose
xyz[2,] <- fit.xyz(xyz[1,], xyz[2,], 1:ncol(xyz))
## The difference between the two conformations
dv <- difference.vector( xyz )
## Calculate normal modes
modes <- nma(pdb.a, inds=sele.a)
# Calculate the squared overlap between the normal modes
# and the difference vector
o <- overlap(modes, dv)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.