A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions
Author:
Funder
Chulalongkorn University
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/s12859-016-1165-8
Reference54 articles.
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2. Duan G, Walther D. The roles of post-translational modifications in the context of protein interaction networks. PLoS Comput Biol. 2015;11(2):e1004049.
3. Nishi H, Hashimoto K, Panchenko AR. Phosphorylation in protein-protein binding: effect on stability and function. Structure. 2011;19(12):1807–15.
4. Husnjak K, Dikic I. Ubiquitin-binding proteins: decoders of ubiquitin-mediated cellular functions. Annu Rev Biochem. 2012;81:291–322.
5. Peters JH, de Groot BL. Ubiquitin dynamics in complexes reveal molecular recognition mechanisms beyond induced fit and conformational selection. PLoS Comput Biol. 2012;8(10):e1002704.
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