DeepTrio: a ternary prediction system for protein–protein interaction using mask multiple parallel convolutional neural networks | Zendy

Xiaotian Hu | Zendy; Cong Feng | Zendy; Yincong Zhou | Zendy; Andrew Harrison | Zendy; Ming Chen | Zendy

Open Access

DeepTrio: a ternary prediction system for protein–protein interaction using mask multiple parallel convolutional neural networks

Author(s) -

Xiaotian Hu,

Cong Feng,

Yincong Zhou,

Andrew Harrison,

Ming Chen

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab737

Subject(s) - computer science , convolutional neural network , generalization , machine learning , artificial intelligence , artificial neural network , ternary operation , data mining , pattern recognition (psychology) , mathematics , mathematical analysis , programming language

Protein-protein interaction (PPI), as a relative property, is determined by two binding proteins, which brings a great challenge to design an expert model with an unbiased learning architecture and a superior generalization performance. Additionally, few efforts have been made to allow PPI predictors to discriminate between relative properties and intrinsic properties.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research