Protein-protein interaction prediction via structure-based deep learning

Exploring foci of: bioRxiv (Cold Spring Harbor Laboratory) Protein-protein interaction prediction via structure-based deep learning May 2023 • Yucong Liu, Zhenhai Li Abstract Protein-protein interactions (PPIs) play an essential role in life activities. Many machine learning algorithms based on protein sequence information have been developed to predict PPIs. However, these models have difficulty dealing with various sequence lengths and suffer from low generalization and prediction accuracy. In this study, we proposed a novel end-to-end deep learning framework, RSPPI, combining Residual Neural Network (ResNet) and Spatial Pyramid Pooling (SPP), to predict PPIs based on the pr… Open Article Page

Artificial Intelligence Computer Science Deep Learning Protein Structure Prediction Machine Learning Generalization Protein Sequencing Support Vector Machine Data Mining Open Article

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