pca.xyz: Principal Component Analysis

In bio3d: Biological Structure Analysis

Principal Component Analysis

Description

Performs principal components analysis (PCA) on a xyz numeric data matrix.

Usage

## S3 method for class 'xyz'
pca(xyz, subset = rep(TRUE, nrow(as.matrix(xyz))),
                 use.svd = FALSE, rm.gaps=FALSE, mass = NULL, ...)

## S3 method for class 'pca'
print(x, nmodes=6, ...)

Arguments

xyz	numeric matrix of Cartesian coordinates with a row per structure.
subset	an optional vector of numeric indices that selects a subset of rows (e.g. experimental structures vs molecular dynamics trajectory structures) from the full xyz matrix. Note: the full xyz is projected onto this subspace.
use.svd	logical, if TRUE singular value decomposition (SVD) is called instead of eigenvalue decomposition.
rm.gaps	logical, if TRUE gap positions (with missing coordinate data in any input structure) are removed before calculation. This is equivalent to removing NA cols from xyz.
x	an object of class pca, as obtained from function pca.xyz.
nmodes	numeric, number of modes to be printed.
mass	a ‘pdb’ object or numeric vector of residue/atom masses. By default (mass=NULL), mass is ignored. If provided with a ‘pdb’ object, masses of all amino acids obtained from aa2mass are used.
...	additional arguments to fit.xyz (for pca.xyz) or to print (for print.pca).

Value

Returns a list with the following components:

L	eigenvalues.
U	eigenvectors (i.e. the x, y, and z variable loadings).
z	scores of the supplied xyz on the pcs.
au	atom-wise loadings (i.e. xyz normalized eigenvectors).
sdev	the standard deviations of the pcs.
mean	the means that were subtracted.

Note

If mass is provided, mass weighted coordinates will be considered, and iteration of fitting onto the mean structure is performed internally. The extra fitting process is to remove external translation and rotation of the whole system. With this option, a direct comparison can be made between PCs from pca.xyz and vibrational modes from nma.pdb, with the fact that

A=k_BTF^{-1}

, where A is the variance-covariance matrix, F the Hessian matrix, k_B the Boltzmann's constant, and T the temperature.

Author(s)

Barry Grant

References

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

See Also

pca, pca.pdbs, plot.pca, mktrj.pca, pca.tor, project.pca

Examples

## Not run: 
#-- Read transducin alignment and structures
aln <- read.fasta(system.file("examples/transducin.fa",package="bio3d"))
pdbs <- read.fasta.pdb(aln)

# Find core
core <- core.find(pdbs, 
                  #write.pdbs = TRUE,
                  verbose=TRUE)

rm(list=c("pdbs", "core"))

## End(Not run)

#-- OR for demo purposes just read previously saved transducin data
attach(transducin)

# Previously fitted coordinates based on sub 1.0A^3 core. See core.find() function.
xyz <- pdbs$xyz
                
#-- Do PCA ignoring gap containing positions
pc.xray <- pca.xyz(xyz, rm.gaps=TRUE)

# Plot results (conformer plots & scree plot overview)
plot(pc.xray, col=annotation[, "color"])

# Plot a single conformer plot of PC1 v PC2
plot(pc.xray, pc.axes=1:2, col=annotation[, "color"])

## Plot atom wise loadings
plot.bio3d(pc.xray$au[,1], ylab="PC1 (A)")


# PDB server connection required - testing excluded
try({

## Plot loadings in relation to reference structure 1TAG
pdb <- read.pdb("1tag")
ind <- grep("1TAG", pdbs$id)             ## location in alignment

resno <- pdbs$resno[ind, !is.gap(pdbs)]  ## non-gap residues
tpdb <- trim.pdb(pdb, resno=resno)

op <- par(no.readonly=TRUE)
par(mfrow = c(3, 1), cex = 0.6, mar = c(3, 4, 1, 1))
plot.bio3d(pc.xray$au[,1], resno, ylab="PC1 (A)", sse=tpdb)
plot.bio3d(pc.xray$au[,2], resno, ylab="PC2 (A)", sse=tpdb)
plot.bio3d(pc.xray$au[,3], resno, ylab="PC3 (A)", sse=tpdb)
par(op)

}, silent=TRUE)
if(inherits(.Last.value, "try-error")) {
   message("Need internet to run the example")
}


## Not run: 
# Write PC trajectory
resno = pdbs$resno[1, !is.gap(pdbs)]
resid = aa123(pdbs$ali[1, !is.gap(pdbs)])

a <- mktrj.pca(pc.xray, pc=1, file="pc1.pdb",
               resno=resno, resid=resid )

b <- mktrj.pca(pc.xray, pc=2, file="pc2.pdb",
               resno=resno, resid=resid )

c <- mktrj.pca(pc.xray, pc=3, file="pc3.pdb",
               resno=resno, resid=resid )

## End(Not run)

detach(transducin)

bio3d documentation built on Oct. 30, 2024, 1:08 a.m.