Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies |
| |
Authors: | Maria Pamela C David Gisela P Concepcion Eduardo A Padlan |
| |
Institution: | (1) Virtual Laboratory of Biomolecular Structures, Marine Science Institute, College of Science, University of the Philippines Diliman, Quezon City, 1101, Philippines |
| |
Abstract: | 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. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |
|