DCSE:Double-Channel-Siamese-Ensemble model for protein protein interaction prediction.

ABSTRACT:

Background

Protein-protein interaction (PPI) is very important for many biochemical processes. Therefore, accurate prediction of PPI can help us better understand the role of proteins in biochemical processes. Although there are many methods to predict PPI in biology, they are time-consuming and lack accuracy, so it is necessary to build an efficiently and accurately computational model in the field of PPI prediction.

Results

We present a novel sequence-based computational approach called DCSE (Double-Channel-Siamese-Ensemble) to predict potential PPI. In the encoding layer, we treat each amino acid as a word, and map it into an N-dimensional vector. In the feature extraction layer, we extract features from local and global perspectives by Multilayer Convolutional Neural Net

SUBMITTER: Chen W 

PROVIDER: S-EPMC9351149 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature