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BMCBI
2010

Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies

13 years 12 months ago
Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
Background: All polypeptide backbones have the potential to form amyloid fibrils, which are associated with a number of degenerative disorders. However, the likelihood that amyloidosis would actually occur under physiological conditions depends largely on the amino acid composition of a protein. We explore using a naive Bayesian classifier and a weighted decision tree for predicting the amyloidogenicity of immunoglobulin sequences. Results: The average accuracy based on leave-one-out (LOO) cross validation of a Bayesian classifier generated
Maria Pamela C. David, Gisela P. Concepcion, Eduar
Added 08 Dec 2010
Updated 08 Dec 2010
Type Journal
Year 2010
Where BMCBI
Authors Maria Pamela C. David, Gisela P. Concepcion, Eduardo A. Padlan
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