Article

Prediction of amyloidogenicity based on the n-gram analysis

2016-08-24

Abstract excerpt

Amyloids are proteins associated with the number of clinical disorders (e.g., Alzheimer's, Creutzfeldt-Jakob's and Huntington's diseases). Despite their diversity, all amyloid proteins can undergo aggregation initiated by 6- to 15-residue segments, called hot spots. To find the patterns defining the hot-spots, we trained predictors of amyloidogenicity, using n-grams and random forest classifiers, based on data col...

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Literature Corpus work: 49529069-401f-5770-af0c-d2c591e3ce87
DOI: 10.7287/peerj.preprints.2390v1

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