sip | R Documentation |
Calculate the correlation between two atomic fluctuation vectors.
sip(...)
## S3 method for class 'nma'
sip(a, b, ...)
## S3 method for class 'enma'
sip(enma, ncore=NULL, ...)
## Default S3 method:
sip(v, w, ...)
enma |
an object of class |
ncore |
number of CPU cores used to do the calculation.
|
a |
an ‘nma’ object as object from function |
b |
an ‘nma’ object as object from function |
v |
a numeric vector containing the atomic fluctuation values. |
w |
a numeric vector containing the atomic fluctuation values. |
... |
arguments passed to associated functions. |
SIP is a measure for the similarity of atomic fluctuations of two proteins, e.g. experimental b-factors, theroetical RMSF values, or atomic fluctuations obtained from NMA.
Returns the similarity coefficient(s).
Lars Skjaerven
Skjaerven, L. et al. (2014) BMC Bioinformatics 15, 399. Grant, B.J. et al. (2006) Bioinformatics 22, 2695–2696. Fuglebakk, E. et al. (2013) JCTC 9, 5618–5628.
Other similarity measures:
covsoverlap
, bhattacharyya
,
rmsip
.
pdb <- read.pdb( system.file("examples/1hel.pdb", package="bio3d") )
a <- nma(pdb)
b <- nma(pdb, ff="anm")
sip(a$fluctuations, b$fluctuations)
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