Protein domain annotation with predicted domain-domain interaction networks.
This paper presents a framework for annotating protein domains with predicted domain-domain interaction networks. Specially, domain annotation is formalized as a multi-class classification problem in this work. The numerical experiments on InterPro domains show promising results, which proves the efficiency of our proposed methods.
ERATO Aihara Complexity Modelling Project, JST, Tokyo 151-0064, Japan.
Xing-Ming
XM
Zhao
Yong
Y
Wang
Luonan
L
Chen
Kazuyuki
K
Aihara
D019295:Computational Biology / Q000379:methods*; D008433:Mathematics; D011336:Probability; D011485:Protein Binding; D025941:Protein Interaction Mapping; D017434:Protein Structure, Tertiary; D012680:Sensitivity and Specificity