Peptides: A Package for Data Mining of Antimicrobial Peptides

By Daniel Osório, P. Rondón-Villarreal, Rodrigo Torres. The R Journal, 2015

348 citations recorded by the source corpus.

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. Peptides package was designed for allowing the quick and easy computation of ten structural characteristics own of the antimicrobial peptides, with the aim of generating data for 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 was included.

Subfields: Microbiology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e697a30b07d992b0e684e5e230a03887f36d2665

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In Molecular Biology

1. Atmakuri Ramakrishna Rao
2. Prabina Kumar Meher
3. Tanmaya Kumar Sahu
4. Varsha Saini

Citations in the corpus

• Predicting antimicrobial peptides with improved accuracy by incorporating the compositional, physico-chemical and structural features into Chou’s general PseAAC (2017, positive): “The compositional and PHYC features were computed by using the “Peptide” package 27 of R-software 28 , whereas the STRL features were computed by using the TANGO software 29 available at http://tango.crg.es/.”