pdb2aln.ind.Rd
Find the best alignment between a PDB structure and an existing alignment. Then, given a set of column indices of the original alignment, returns atom selections of equivalent C-alpha atoms in the PDB structure.
pdb2aln.ind(aln, pdb, inds = NULL, ...)
aln | an alignment list object with |
---|---|
pdb | the PDB object to be aligned to |
inds | a numeric vector containing a subset of column indices of
|
... | additional arguments passed to |
Call pdb2aln
to align the sequence of pdb
to aln
.
Then, find the atomic indices of C-alpha atoms in pdb
that are
equivalent to inds
, the subset of column indices of aln$ali
.
The function is a rountine utility in a combined analysis of
molecular dynamics (MD) simulation trajectories and crystallographic
structures. For example, a typical post-analysis of MD simulation is to
compare the principal components (PCs) derived from simulation trajectories
with those derived from crystallographic structures. The C-alpha atoms used
to fit trajectories and do PCA must be the same (or equivalent) to those
used in the analysis of crystallographic structures, e.g. the 'non-gap'
alignment positions. Call pdb2aln.ind
with providing relevant
alignment positions, one can easily get equivalent atom selections
('select' class objects) for the simulation topology (PDB) file and then
do proper trajectory analysis.
Returns a list containing two "select" objects:
atom and xyz indices for the alignment.
atom and xyz indices for the PDB.
Grant, B.J. et al. (2006) Bioinformatics 22, 2695--2696.
Xin-Qiu Yao, Lars Skjaerven & Barry Grant
seq2aln
, seqaln.pair
,
pdb2aln
if (FALSE) { ##--- Read aligned PDB coordinates (CA only) aln <- read.fasta(system.file("examples/kif1a.fa",package="bio3d")) pdbs <- read.fasta.pdb(aln) ##--- Read the topology file of MD simulations ##--- For illustration, here we read another pdb file (all atoms) pdb <- read.pdb("2kin") #--- Map the non-gap positions to PDB C-alpha atoms #pc.inds <- gap.inspect(pdbs$ali) #npc.inds <- pdb2aln.ind(aln=pdbs, pdb=pdb, inds=pc.inds$f.inds) #npc.inds$a #npc.inds$b #--- Or, map the non-gap positions with a known close sequence in the alignment #npc.inds <- pdb2aln.ind(aln=pdbs, pdb=pdb, aln.id="1bg2", inds=pc.inds$f.inds) #--- Map core positions core <- core.find(pdbs) core.inds <- pdb2aln.ind(aln=pdbs, pdb=pdb, inds = core$c1A.atom) core.inds$a core.inds$b ##--- Fit simulation trajectories to one of the X-ray structures based on ##--- core positions #xyz <- fit.xyz(pdbs$xyz[1,], pdb$xyz, core.inds$a$xyz, core.inds$b$xyz) ##--- Do PCA of trajectories based on non-gap positions #pc.traj <- pca(xyz[, npc.inds$b$xyz]) }