Position-Specific Analysis and Prediction of Protein Pupylation Sites Based on Multiple Features
Pupylation is one of the most important posttranslational modifications of proteins; accurate identification of pupylation sites will facilitate the understanding of the molecular mechanism of pupylation. Besides the conventional experimental approaches, computational prediction of pupylation sites...
Main Authors: | Xiaowei Zhao, Jiangyan Dai, Qiao Ning, Zhiqiang Ma, Minghao Yin, Pingping Sun |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2013-01-01
|
Series: | BioMed Research International |
Online Access: | http://dx.doi.org/10.1155/2013/109549 |
Similar Items
-
Identification of Protein Pupylation Sites Using Bi-Profile Bayes Feature Extraction and Ensemble Learning
by: Xiaowei Zhao, et al.
Published: (2013-01-01) -
EPuL: An Enhanced Positive-Unlabeled Learning Algorithm for the Prediction of Pupylation Sites
by: Xuanguo Nan, et al.
Published: (2017-09-01) -
Positive-Unlabeled Learning for Pupylation Sites Prediction
by: Ming Jiang, et al.
Published: (2016-01-01) -
Systematic analysis and prediction of pupylation sites in prokaryotic proteins.
by: Xiang Chen, et al.
Published: (2013-01-01) -
PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations
by: Firda Nurul Auliah, et al.
Published: (2021-02-01)