A Deep Learning and XGBoost-Based Method for Predicting Protein-Protein Interaction Sites.

ABSTRACT: Knowledge about protein-protein interactions is beneficial in understanding cellular mechanisms. Protein-protein interactions are usually determined according to their protein-protein interaction sites. Due to the limitations of current techniques, it is still a challenging task to detect protein-protein interaction sites. In this article, we presented a method based on deep learning and XGBoost (called DeepPPISP-XGB) for predicting protein-protein interaction sites. The deep learning model served as a feature extractor to remove redundant information from protein sequences. The Extreme Gradient Boosting algorithm was used to construct a classifier for predicting protein-protein interaction sites. The DeepPPISP-XGB achieved the following results: area under the receiver operating character

SUBMITTER: Wang P 

PROVIDER: S-EPMC8576272 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature