Fuzzy Grammar-based Prediction of Amyloidogenic Regions

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Olgierd Unold ;
Proceedings of the Eleventh International Conference on Grammatical Inference, PMLR 21:210-219, 2012.

Abstract

In this paper, we address the problem of predicting the location of amyloidogenic regions in proteins. The language of protein sequence can be described by using a formal system such as fuzzy context-free grammar, and the problem of amyloidogenic region recognition can be replaced by fuzzy grammar induction. The induced fuzzy grammar achieved 70.6% accuracy and 96.7% specificity on a recently published amyloidogenic dataset. Our results are comparable to other methods dedicated to recognize amyloid proteins.

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