extractProtPSSMFeature {Rcpi} | R Documentation

## Profile-based protein representation derived by PSSM (Position-Specific Scoring Matrix)

### Description

Profile-based protein representation derived by PSSM (Position-Specific Scoring Matrix)

### Usage

    extractProtPSSMFeature(pssmmat)

### Arguments

`pssmmat` | The PSSM computed by `extractProtPSSM`.

### Details

This function calculates the profile-based protein representation derived by PSSM. The feature vector is based on the PSSM computed by `extractProtPSSM`. For a given sequence, The PSSM feature represents the log-likelihood of the substitution of the 20 types of amino acids at that position in the sequence. Each PSSM feature value in the vector represents the degree of conservation of a given amino acid type. The value is normalized to interval (0, 1) by the transformation 1/(1+e^(-x)).

### Value

A numeric vector which has `20 x N` named elements, where `N` is the size of the window (number of rows of the PSSM).

### Author(s)

Nan Xiao <https://nanx.me>

### References

Ye, Xugang, Guoli Wang, and Stephen F. Altschul. "An assessment of substitution scores for protein profile-profile comparison." Bioinformatics 27.24 (2011): 3356–3363.

Rangwala, Huzefa, and George Karypis. "Profile-based direct kernels for remote homology detection and fold recognition." Bioinformatics 21.23 (2005): 4239–4247.

### See Also

extractProtPSSM extractProtPSSMAcc

### Examples

    x = readFASTA(system.file('protseq/P00750.fasta', package = 'Rcpi'))[[1]]

    dbpath = tempfile('tempdb', fileext = '.fasta')
    invisible(file.copy(from = system.file('protseq/Plasminogen.fasta', package = 'Rcpi'), to = dbpath))
    pssmmat = extractProtPSSM(seq = x, database.path = dbpath)
    pssmfeature = extractProtPSSMFeature(pssmmat)
    head(pssmfeature)

[Package Rcpi version 1.24.0 Index]