increment

This function generates new peptide sequences by adding each of the 20 amino acids
to each position of the input peptide or peptides.

This toolkit is designed for manipulation and analysis of peptides. It provides functionalities to assist researchers in peptide engineering and proteomics. Users can manipulate peptides by adding amino acids at every position, count occurrences of each amino acid at each position, and transform amino acid counts based on probabilities. The package offers functionalities to select the best versus the worst peptides and analyze these peptides, which includes counting specific residues, reducing peptide sequences, extracting features through One Hot Encoding (OHE), and utilizing Quantitative Structure-Activity Relationship (QSAR) properties (based in the package 'Peptides' by Osorio et al. (2015) <doi:10.32614/RJ-2015-001>). This package is intended for both researchers and bioinformatics enthusiasts working on peptide-based projects, especially for their use with machine learning.

Josep-Ramon Codina

peptoolkit

A Toolkit for Using Peptide Sequences in Machine Learning

increment function

<dl><dt>peptides</dt>
<dd>A character vector of peptide sequences.</dd>
<dt>num_added</dt>
<dd>The number of amino acids to be added to each position of the peptide.</dd></dl>

Arguments

Increment Peptide Sequences — increment

<dl>

<dt>peptides</dt>
<dd>A character vector of peptide sequences.</dd>


<dt>num_added</dt>
<dd>The number of amino acids to be added to each position of the peptide.</dd>

</dl>

increment: Increment Peptide Sequences

Description

Usage

Value

Arguments

Examples