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CS-AMPPred: An Updated SVM Model for Antimicrobial Activity Prediction in Cysteine-Stabilized Peptides

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  • William F Porto
  • Állan S Pires
  • Octavio L Franco

Abstract

The antimicrobial peptides (AMP) have been proposed as an alternative to control resistant pathogens. However, due to multifunctional properties of several AMP classes, until now there has been no way to perform efficient AMP identification, except through in vitro and in vivo tests. Nevertheless, an indication of activity can be provided by prediction methods. In order to contribute to the AMP prediction field, the CS-AMPPred (Cysteine-Stabilized Antimicrobial Peptides Predictor) is presented here, consisting of an updated version of the Support Vector Machine (SVM) model for antimicrobial activity prediction in cysteine-stabilized peptides. The CS-AMPPred is based on five sequence descriptors: indexes of (i) α-helix and (ii) loop formation; and averages of (iii) net charge, (iv) hydrophobicity and (v) flexibility. CS-AMPPred was based on 310 cysteine-stabilized AMPs and 310 sequences extracted from PDB. The polynomial kernel achieves the best accuracy on 5-fold cross validation (85.81%), while the radial and linear kernels achieve 84.19%. Testing in a blind data set, the polynomial and radial kernels achieve an accuracy of 90.00%, while the linear model achieves 89.33%. The three models reach higher accuracies than previously described methods. A standalone version of CS-AMPPred is available for download at and runs on any Linux machine.

Suggested Citation

  • William F Porto & Állan S Pires & Octavio L Franco, 2012. "CS-AMPPred: An Updated SVM Model for Antimicrobial Activity Prediction in Cysteine-Stabilized Peptides," PLOS ONE, Public Library of Science, vol. 7(12), pages 1-7, December.
  • Handle: RePEc:plo:pone00:0051444
    DOI: 10.1371/journal.pone.0051444
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    1. Per H. Mygind & Rikke L. Fischer & Kirk M. Schnorr & Mogens T. Hansen & Carsten P. Sönksen & Svend Ludvigsen & Dorotea Raventós & Steen Buskov & Bjarke Christensen & Leonardo De Maria & Olivier Tabour, 2005. "Plectasin is a peptide antibiotic with therapeutic potential from a saprophytic fungus," Nature, Nature, vol. 437(7061), pages 975-980, October.
    2. Christopher Loose & Kyle Jensen & Isidore Rigoutsos & Gregory Stephanopoulos, 2006. "A linguistic model for the rational design of antimicrobial peptides," Nature, Nature, vol. 443(7113), pages 867-869, October.
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