[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
Hierarchical graph learning for protein–protein interaction
Abstract Protein-Protein Interactions (PPIs) are fundamental means of functions and
signalings in biological systems. The massive growth in demand and cost associated with …
signalings in biological systems. The massive growth in demand and cost associated with …
Multifaceted protein–protein interaction prediction based on Siamese residual RCNN
Motivation Sequence-based protein–protein interaction (PPI) prediction represents a
fundamental computational biology problem. To address this problem, extensive research …
fundamental computational biology problem. To address this problem, extensive research …
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
Protein-protein interactions (PPIs) play an important role in cell life activities such as
transcriptional regulation, signal transduction and drug signal transduction. The study of …
transcriptional regulation, signal transduction and drug signal transduction. The study of …
Learning spatial structures of proteins improves protein–protein interaction prediction
Spatial structures of proteins are closely related to protein functions. Integrating protein
structures improves the performance of protein–protein interaction (PPI) prediction …
structures improves the performance of protein–protein interaction (PPI) prediction …
Predicting protein–protein interactions through sequence-based deep learning
Motivation High-throughput experimental techniques have produced a large amount of
protein–protein interaction (PPI) data, but their coverage is still low and the PPI data is also …
protein–protein interaction (PPI) data, but their coverage is still low and the PPI data is also …
DeepPPI: boosting prediction of protein–protein interactions with deep neural networks
The complex language of eukaryotic gene expression remains incompletely understood.
Despite the importance suggested by many proteins variants statistically associated with …
Despite the importance suggested by many proteins variants statistically associated with …
Predicting protein-protein interactions via multivariate mutual information of protein sequences
Abstract Background Protein-protein interactions (PPIs) are central to a lot of biological
processes. Many algorithms and methods have been developed to predict PPIs and protein …
processes. Many algorithms and methods have been developed to predict PPIs and protein …
Mape-ppi: Towards effective and efficient protein-protein interaction prediction via microenvironment-aware protein embedding
Protein-Protein Interactions (PPIs) are fundamental in various biological processes and play
a key role in life activities. The growing demand and cost of experimental PPI assays require …
a key role in life activities. The growing demand and cost of experimental PPI assays require …
Using Weighted Sparse Representation Model Combined with Discrete Cosine Transformation to Predict Protein‐Protein Interactions from Protein Sequence
Increasing demand for the knowledge about protein‐protein interactions (PPIs) is promoting
the development of methods for predicting protein interaction network. Although high …
the development of methods for predicting protein interaction network. Although high …