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Cited by 430

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Peptides: A Package for Data Mining of Antimicrobial Peptides

Open access
Osorio, Daniel, Rondón-Villarreal, Paola, Torres, Rodrigo·2015·The R Journal

Abstract

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.

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Metadata

Authors
Osorio, D., Rondón-Villarreal, P., & Torres, R.
Venue
The R Journal
Published
2015
Volume
7
Issue
1
Pages
4
ISSN
2073-4859 (ISSN-L)
OpenAlex
W2789857505
Cited by
430
References
3
FWCI
3.92
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Peptides: A Package for Data Mining of Antimicrobial Peptides. https://app.cochat.ai/papers/10.32614/rj-2015-001
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Osorio, D., Rondón-Villarreal, P., & Torres, R. (2015). Peptides: A Package for Data Mining of Antimicrobial Peptides. The R Journal. https://doi.org/10.32614/rj-2015-001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.