autoCovariance: Compute the auto-covariance index of a protein sequence

In Peptides: Calculate Indices and Theoretical Physicochemical Properties of Protein Sequences

Compute the auto-covariance index of a protein sequence

Description

This function computes the Cruciani et al (2004) auto-corvariance index. The autoCovariance index is calculated for a lag 'd' using a descriptor 'f' (centred) over a sequence of length 'L'.

Usage

autoCovariance(sequence, lag, property, center = TRUE)

Arguments

sequence	An amino-acids sequence
lag	A value for a lag, the max value is equal to the length of the shortest peptide minus one.
property	A property to use as value to evaluate the covariance.
center	A logical value TRUE or FALSE if the property must be centered.

Value

The computed auto-covariance index for a given amino-acids sequence

References

Cruciani, G., Baroni, M., Carosati, E., Clementi, M., Valigi, R., and Clementi, S. (2004) Peptide studies by means of principal properties of amino acids derived from MIF descriptors. J. Chemom. 18, 146-155.

Examples

# Loading a property to evaluate its autocorrelation
data(AAdata)

# Calculate the auto-covariance index for a lag=1
autoCovariance(
  sequence = "SDKEVDEVDAALSDLEITLE",
  lag = 1,
  property = AAdata$Hydrophobicity$KyteDoolittle,
  center = TRUE
)
# [1] -0.4140053

# Calculate the auto-covariance index for a lag=5
autoCovariance(
  sequence = "SDKEVDEVDAALSDLEITLE",
  lag = 5,
  property = AAdata$Hydrophobicity$KyteDoolittle,
  center = TRUE
)
# [1] 0.001000336

Peptides documentation built on May 29, 2024, 11:02 a.m.