AllergenFP

AllergenFP is an alignment-free fingerprint approach that identifies allergens and non-allergens through a four-step algorithm that converts protein sequences into vectors and binary fingerprints, which are compared based on Tanimoto coefficient. The approach correctly identified 88% of 2427 known allergens and non-allergens with a Matthews correlation coefficient of 0.759.

Topic

Computational biology;Proteins

Detail

  • Operation: Protein sequence analysis;Prediction and recognition

  • Software interface: Web user interface

  • Language: Python-based web tool

  • License: -

  • Cost: Free

  • Version name: v.1.0

  • Credit: Bulgarian Science Fund

  • Input: -

  • Output: -

  • Contact: Irini Doytchinova idoytchinova@pharmfac.net, Ivan Bangov ivanbangov@shu-bg.net

  • Collection: -

  • Maturity: -

Publications

  • AllergenFP: allergenicity prediction by descriptor fingerprints.
  • Dimitrov I, et al. AllergenFP: allergenicity prediction by descriptor fingerprints. AllergenFP: allergenicity prediction by descriptor fingerprints. 2014; 30:846-51. doi: 10.1093/bioinformatics/btt619
  • https://doi.org/10.1093/bioinformatics/btt619
  • PMID: 24167156
  • PMC: -

Download and documentation

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