Conotoxin protein classification using pairwise comparison and amino acid composition: toxin-aam

Authors:
Nazar Zaki;Fadi Sibai;Piers Campbell
Affiliations:
United Arab Emirates University, Al-Ain, Uae;United Arab Emirates University, Al-Ain, Uae;United Arab Emirates University, Al-Ain, Uae
Venue:
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Year:
2011

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Abstract

Conotoxin classification could assist in the study of the structure function relationship of ion-channels and receptors as well as identifying potential therapeutics in the treatment of a wide variety of diseases such as schizophrenia, chronic pain, cardiovascular and bladder dysfunction. In this study, we introduce a novel method (Toxin-AAM) for conotoxin superfamily classification. Toxin-AAM incorporates evolutionary information using a powerful means of pairwise sequence comparison and amino acid composition knowledge. The combination of the sequential model and the discrete model has made the Toxin-AAM method exceptional in classifying conotoxin superfamily, when compared to other state-of-the-art techniques.