[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 …
Recent advances in predicting protein–protein interactions with the aid of artificial intelligence algorithms
Protein–protein interactions (PPIs) are essential in the regulation of biological functions and
cell events, therefore understanding PPIs have become a key issue to understanding the …
cell events, therefore understanding PPIs have become a key issue to understanding the …
Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
C Chen, Q Zhang, B Yu, Z Yu, PJ Lawrence… - Computers in biology …, 2020 - Elsevier
Protein-protein interactions (PPIs) are involved with most cellular activities at the proteomic
level, making the study of PPIs necessary to comprehending any biological process …
level, making the study of PPIs necessary to comprehending any biological process …
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 …
Sequence-based prediction of protein protein interaction using a deep-learning algorithm
Abstract Background Protein-protein interactions (PPIs) are critical for many biological
processes. It is therefore important to develop accurate high-throughput methods for …
processes. It is therefore important to develop accurate high-throughput methods for …
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 …
Improved global protein homolog detection with major gains in function identification
There are several hundred million protein sequences, but the relationships among them are
not fully available from existing homolog detection methods. There is an essential need for …
not fully available from existing homolog detection methods. There is an essential need for …