May 29, 2024 · This study aims to address Protein-Protein Interactions (PPIs) prediction based on graph neural networks (GNN). A novel multilevel prediction ...
May 29, 2024 · This study aims to address Protein-Protein Interactions (PPIs) prediction based on graph neural networks (GNN). A novel multilevel prediction ...
This study aims to address Protein–Protein Interactions (PPIs) prediction based on graph neural networks (GNN). A novel multilevel prediction model for PPIs ...
Jun 5, 2024 · Background: This paper addresses specific challenges in predictive modeling, namely transparency issues, susceptibility to data manipulation, ...
DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks ; Journal: Computers in Biology and ...
DSSGNN-PPI: A Protein-Protein Interactions prediction model based on Double Structure and Sequence graph neural networks · Fan ZhangSheng ChangBinjie Wang ...
Aug 19, 2023 · DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks. Abstract. The ...
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Jul 31, 2024 · In this paper, we propose a novel PPI site prediction model (DGCPPISP) based on a dynamic graph convolutional neural network and a two-stage transfer learning ...
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Apr 16, 2024 · This paper aims to review the latest research developments of graph neural networks in forecasting protein-protein interactions, compare the architectures of ...
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DSSGNN-PPI: A Protein–Protein Interactions prediction model based on Double Structure and Sequence graph neural networks. 2024, Computers in Biology and ...