Prediction of Protein–Protein Interaction Sites Based on Stratified Attentional Mechanisms

Prediction of Protein–Protein Interaction Sites Based on Stratified Attentional Mechanisms

Proteins are the basic substances that undertake human life activities, and they often perform their biological functions through interactions with other biological macromolecules, such as cell transmission and signal transduction. Predicting the interaction sites between proteins can deepen the und...

Full description

Bibliographic Details
Main Authors:	Minli Tang, Longxin Wu, Xinyu Yu, Zhaoqi Chu, Shuting Jin, Juan Liu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-11-01
Series:	Frontiers in Genetics
Subjects:	protein–protein interaction multilevel attention mechanism feature fusion deep learning protein features
Online Access:	https://www.frontiersin.org/articles/10.3389/fgene.2021.784863/full

Similar Items

Protein–protein interaction site prediction by model ensembling with hybrid feature and self-attention
by: Hanhan Cong, et al.
Published: (2023-12-01)

Protein Solubility Prediction Based on Sequence Feature Fusion
by: NIU Fu-sheng, GUO Yan-bu, LI Wei-hua, LIU Wen-yang
Published: (2022-01-01)

Deep learning frameworks for protein–protein interaction prediction
by: Xiaotian Hu, et al.
Published: (2022-01-01)

An integration of deep learning with feature embedding for protein–protein interaction prediction
by: Yu Yao, et al.
Published: (2019-06-01)

SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction
by: Xue Li, et al.
Published: (2022-06-01)

DL-PPI: a method on prediction of sequenced protein–protein interaction based on deep learning
by: Jiahui Wu, et al.
Published: (2023-12-01)

Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm
by: Ying Liang, et al.
Published: (2024-03-01)

Advances in Computational Methods for Protein–Protein Interaction Prediction
by: Lei Xian, et al.
Published: (2024-03-01)

Struct2Graph: a graph attention network for structure based predictions of protein–protein interactions
by: Mayank Baranwal, et al.
Published: (2022-09-01)

PITHIA: Protein Interaction Site Prediction Using Multiple Sequence Alignments and Attention
by: SeyedMohsen Hosseini, et al.
Published: (2022-10-01)

CAA-PPI: A Computational Feature Design to Predict Protein–Protein Interactions Using Different Encoding Strategies
by: Bhawna Mewara, et al.
Published: (2023-04-01)

EPI-SF: essential protein identification in protein interaction networks using sequence features
by: Sovan Saha, et al.
Published: (2024-03-01)

Identification of protein–protein interaction associated functions based on gene ontology and KEGG pathway
by: Lili Yang, et al.
Published: (2022-09-01)

Protein interaction disruption in cancer
by: Matthew Ruffalo, et al.
Published: (2019-04-01)

Computational prediction of allergenic proteins based on multi-feature fusion
by: Bin Liu, et al.
Published: (2023-10-01)

Identification of RSV Fusion Protein Interaction Domains on the Virus Receptor, Nucleolin
by: Peter Mastrangelo, et al.
Published: (2021-02-01)

Computational protein-protein interactions /
by: Nussinov, Ruth
Published: (2009)

Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction
by: Qiguo Dai, et al.
Published: (2019-02-01)

Attention mechanism enhanced LSTM with residual architecture and its application for protein-protein interaction residue pairs prediction
by: Jiale Liu, et al.
Published: (2019-11-01)

Using protein language models for protein interaction hot spot prediction with limited data
by: Karen Sargsyan, et al.
Published: (2024-03-01)

Sequence-based prediction of protein protein interaction using a deep-learning algorithm
by: Tanlin Sun, et al.
Published: (2017-05-01)

Golgi_DF: Golgi proteins classification with deep forest
by: Wenzheng Bao, et al.
Published: (2023-05-01)

Encoder-Decoder Network Fusing Channel and Spatial Attention for Crowd Counting
by: YU Ying, PAN Cheng, ZHU Huilin, QIAN Jin, TANG Hong
Published: (2022-11-01)

ncRPI-LGAT: Prediction of ncRNA-protein interactions with line graph attention network framework
by: Yong Han, et al.
Published: (2023-01-01)

Single-Shot Object Detection via Feature Enhancement and Channel Attention
by: Yi Li, et al.
Published: (2022-09-01)

Different Recognition of Protein Features Depending on Deep Learning Models: A Case Study of Aromatic Decarboxylase UbiD
by: Naoki Watanabe, et al.
Published: (2023-05-01)

A Deep Learning and XGBoost-Based Method for Predicting Protein-Protein Interaction Sites
by: Pan Wang, et al.
Published: (2021-10-01)

Centrality Combination Method Based on Feature Selection for Protein Interaction Networks
by: Haoyue Wang, et al.
Published: (2022-01-01)

A Pearson Based Feature Compressing Model for SNARE Protein Classification
by: Guilin Li
Published: (2020-01-01)

Predicting disease-related genes by topological similarity in human protein-protein interaction network
by: Zhang Lei, et al.
Published: (2010-08-01)

<i>AutoPPI</i>: An Ensemble of Deep Autoencoders for Protein–Protein Interaction Prediction
by: Gabriela Czibula, et al.
Published: (2021-05-01)

Protein-protein interaction /
by: Werther, Meike, et al.
Published: (2008)

A New Tool to Study the Binding Behavior of Intrinsically Disordered Proteins
by: Aakriti Upadhyay, et al.
Published: (2023-07-01)

HybridGCN for protein solubility prediction with adaptive weighting of multiple features
by: Long Chen, et al.
Published: (2023-12-01)

Protein interaction networks : computational analysis /
by: 443703 Zhang, Aidong
Published: (2009)

Primary sequence based protein–protein interaction binder generation with transformers
by: Junzheng Wu, et al.
Published: (2023-10-01)

Protein-protein interactions : methods and applications /
by: Fu, Haian
Published: (2004)

Adversarial Learning with Bidirectional Attention for Visual Question Answering
by: Qifeng Li, et al.
Published: (2021-10-01)

Detection of Commodities Based on Multi-Feature Fusion and Attention Screening by Entropy Function Guidance
by: An Xie, et al.
Published: (2023-01-01)

Predicting Protein–Protein Interactions via Gated Graph Attention Signed Network
by: Zhijie Xiang, et al.
Published: (2021-05-01)