reduce_sequences

This function takes a vector of peptide sequences and generates all possible
sequences by removing one amino acid residue at a time. It can also associate each
sequence with an ID, if provided.

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

reduce_sequences function

<dl><dt>peptides</dt>
<dd>A character vector of peptide sequences.</dd>
<dt>id</dt>
<dd>A character vector of IDs that correspond to the peptides.</dd></dl>

Arguments

Reduce Peptide Sequences by One Residue — reduce_sequences

<dl>

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


<dt>id</dt>
<dd>A character vector of IDs that correspond to the peptides.</dd>

</dl>

reduce_sequences: Reduce Peptide Sequences by One Residue

Description

Usage

Value

Arguments

Examples