bio3d (version 2.2-4)

overlap: Overlap analysis

Description

Calculate the squared overlap between sets of vectors.

Usage

overlap(modes, dv, nmodes=20)

Arguments

modes

an object of class "pca" or "nma" as obtained from function pca.xyz or nma. Alternatively a 3NxM matrix of eigenvectors can be provided.

dv

a displacement vector of length 3N.

nmodes

the number of modes in which the calculation should be based.

Value

Returns a list with the following components:

overlap

a numeric vector of the squared dot products (overlap values) between the (normalized) vector (dv) and each mode in mode.

overlap.cum

a numeric vector of the cumulative squared overlap values.

Details

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.

References

Skjaerven, L. et al. (2011) Proteins 79, 232--243. Grant, B.J. et al. (2006) Bioinformatics 22, 2695--2696.

See Also

rmsip, pca.xyz, nma, difference.vector

Examples

data(kinesin)
attach(kinesin, warn.conflicts=FALSE)
     
# 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("d1v8ja", 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)