Antimicrobial peptides (AMP) are a promising source of antibiotics with a broad spectrum activity against bacteria and low incidence of developing resistance. The mechanism by which an AMP executes its function depends on a set of computable physicochemical properties from the amino acid sequence. The Peptides package was designed to allow the quick and easy computation of ten structural characteristics own of the antimicrobial peptides, with the aim of generating data to increase the accuracy in classification and design of new amino acid sequences. Moreover, the options to read and plot XVG output files from GROMACS molecular dynamics package are included.
HighPerformanceComputing, MachineLearning, Multivariate
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For attribution, please cite this work as
Osorio, et al., "The R Journal: Peptides: A Package for Data Mining of Antimicrobial Peptides", The R Journal, 2015
BibTeX citation
@article{RJ-2015-001,
author = {Osorio, Daniel and Rondón-Villarreal, Paola and Torres, Rodrigo},
title = {The R Journal: Peptides: A Package for Data Mining of Antimicrobial Peptides},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2015-001},
doi = {10.32614/RJ-2015-001},
volume = {7},
issue = {1},
issn = {2073-4859},
pages = {4-14}
}