ProtInteract: A deep learning framework for predicting protein-protein interactions.

ABSTRACT: Proteins mainly perform their functions by interacting with other proteins. Protein-protein interactions underpin various biological activities such as metabolic cycles, signal transduction, and immune response. However, due to the sheer number of proteins, experimental methods for finding interacting and non-interacting protein pairs are time-consuming and costly. We therefore developed the ProtInteract framework to predict protein-protein interaction. ProtInteract comprises two components: first, a novel autoencoder architecture that encodes each protein's primary structure to a lower-dimensional vector while preserving its underlying sequence attributes. This leads to faster training of the second network, a deep convolutional neural network (CNN) that receives encoded proteins and pred

SUBMITTER: Soleymani F 

PROVIDER: S-EPMC9929211 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature