A machine learning approach for predicting methionine oxidation sites

A machine learning approach for predicting methionine oxidation sites

Abstract Background The oxidation of protein-bound methionine to form methionine sulfoxide, has traditionally been regarded as an oxidative damage. However, recent evidences support the view of this reversible reaction as a regulatory post-translational modification. The perception that methionine s...

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Bibliographic Details
Main Authors: Juan C. Aledo, Francisco R. Cantón, Francisco J. Veredas
Format: Article
Language:English
Published: BMC 2017-09-01
Series:BMC Bioinformatics
Subjects:
Methionine sufoxide
Machine learning
Oxidation prediction
Post-translation modification
Online Access:http://link.springer.com/article/10.1186/s12859-017-1848-9

Internet

http://link.springer.com/article/10.1186/s12859-017-1848-9

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