Title
MDD-carb: a combinatorial model for the identification of protein carbonylation sites with substrate motifs.
Abstract
This study provides a new scheme for exploring potential motif signatures at substrate sites of protein carbonylation. The usefulness of the revealed motifs in the identification of carbonylated sites is demonstrated by their effective performance in cross-validation and independent testing. Finally, these substrate motifs were adopted to build an available online resource (MDD-Carb, http://csb.cse.yzu.edu.tw/MDDCarb/ ) and are also anticipated to facilitate the study of large-scale carbonylated proteomes.
Year
DOI
Venue
2017
10.1186/s12918-017-0511-4
BMC Systems Biology
Keywords
Field
DocType
Maximal dependence decomposition,Profile hidden Markov model,Protein carbonylation,Reactive oxygen species (ROS),Substrate motifs
Substrate (chemistry),Oxidative phosphorylation,Biology,Lung disease,Cell biology,Systems biology,Protein Carbonylation,Reactive oxygen species,Computational biology,Carbonylation,Combinatorial model
Journal
Volume
Issue
ISSN
11
S-7
1752-0509
Citations 
PageRank 
References 
1
0.35
18
Authors
7
Name
Order
Citations
PageRank
Hui-Ju Kao1534.59
Shun-Long Weng2303.72
Kai-Yao Huang3313.84
Fergie Joanda Kaunang440.86
Justin Bo-Kai Hsu51086.69
Chien-Hsun Huang6121.73
Tzong-Yi Lee761737.18