Root Mean Square Inner Product

Usage

rmsip(...)
"rmsip"(enma, ncore=NULL, subset=10, ...)
"rmsip"(modes.a, modes.b, subset=10, row.name="a", col.name="b", ...)

Arguments

enma
an object of class "enma" obtained from function nma.pdbs.
ncore
number of CPU cores used to do the calculation. ncore>1 requires package ‘parallel’ installed.
subset
the number of modes to consider.
modes.a
an object of class "pca" or "nma" as obtained from functions pca.xyz or nma.
modes.b
an object of class "pca" or "nma" as obtained from functions pca.xyz or nma.
row.name
prefix name for the rows.
col.name
prefix name for the columns.
...
arguments passed to associated functions.

Description

Calculate the RMSIP between two mode subspaces.

Details

RMSIP is a measure for the similarity between two set of modes obtained from principal component or normal modes analysis.

Value

Returns an rmsip object with the following components:
overlap
a numeric matrix containing pairwise (squared) dot products between the modes.

rmsip
a numeric RMSIP value.

For function rmsip.enma a numeric matrix containing all pairwise RMSIP values of the modes stored in the enma object.

References

Skjaerven, L. et al. (2014) BMC Bioinformatics 15, 399. Grant, B.J. et al. (2006) Bioinformatics 22, 2695--2696. Amadei, A. et al. (1999) Proteins 36, 19--424.

Examples

# Load data for HIV example trj <- read.dcd(system.file("examples/hivp.dcd", package="bio3d"))
NATOM = 198 NFRAME= 117 ISTART= 0 last = 117 nstep = 117 nfile = 117 NSAVE = 1 NDEGF = 0 version 24 Reading (x100) |======================================================================| 100%
pdb <- read.pdb(system.file("examples/hivp.pdb", package="bio3d")) # Do PCA on simulation data xyz.md <- fit.xyz(pdb$xyz, trj, fixed.inds=1:ncol(trj)) pc.sim <- pca.xyz(xyz.md) # NMA modes <- nma(pdb)
Warning message: Possible multi-chain structure or missing in-structure residue(s) present Fluctuations at neighboring positions may be affected.
Building Hessian... Done in 0.079 seconds. Diagonalizing Hessian... Done in 0.464 seconds.
# Calculate the RMSIP between the MD-PCs and the NMA-MODEs r <- rmsip(modes, pc.sim, subset=10, row.name="NMA", col.name="PCA") # Plot pairwise overlap values plot(r, xlab="NMA", ylab="PCA")

See also

pca, nma, overlap. Other similarity measures: sip, covsoverlap, bhattacharyya.

Author

Lars Skjaerven