[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 …
A transformer-based ensemble framework for the prediction of protein–protein interaction sites
The identification of protein–protein interaction (PPI) sites is essential in the research of
protein function and the discovery of new drugs. So far, a variety of computational tools …
protein function and the discovery of new drugs. So far, a variety of computational tools …
Computational Approaches to Predict Protein–Protein Interactions in Crowded Cellular Environments
Investigating protein–protein interactions is crucial for understanding cellular biological
processes because proteins often function within molecular complexes rather than in …
processes because proteins often function within molecular complexes rather than in …
Structure-aware protein–protein interaction site prediction using deep graph convolutional network
Motivation Protein–protein interactions (PPI) play crucial roles in many biological processes,
and identifying PPI sites is an important step for mechanistic understanding of diseases and …
and identifying PPI sites is an important step for mechanistic understanding of diseases and …
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model
Motivation Identifying the functional sites of a protein, such as the binding sites of proteins,
peptides, or other biological components, is crucial for understanding related biological …
peptides, or other biological components, is crucial for understanding related biological …
DELPHI: accurate deep ensemble model for protein interaction sites prediction
Motivation Proteins usually perform their functions by interacting with other proteins, which is
why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental …
why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental …
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Protein-protein interactions (PPIs) govern cellular pathways and processes, by significantly
influencing the functional expression of proteins. Therefore, accurate identification of protein …
influencing the functional expression of proteins. Therefore, accurate identification of protein …
Prediction of protein-protein interaction sites through eXtreme gradient boosting with kernel principal component analysis
X Wang, Y Zhang, B Yu, A Salhi, R Chen… - Computers in biology …, 2021 - Elsevier
Predicting protein-protein interaction sites (PPI sites) can provide important clues for
understanding biological activity. Using machine learning to predict PPI sites can mitigate …
understanding biological activity. Using machine learning to predict PPI sites can mitigate …
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 …
Prediction of protein–protein interactions based on elastic net and deep forest
Prediction of protein–protein interactions (PPIs) helps to grasp molecular roots of disease.
However, web-lab experiments to predict PPIs are limited and costly. Using machine …
However, web-lab experiments to predict PPIs are limited and costly. Using machine …