Temporal Protein Complex Identification Based on Dynamic Heterogeneous Protein Information Network Representation Learning

Z Li, Y Zhang, P Zhou - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Protein complexes, as the fundamental units of cellular function and regulation, play a
crucial role in understanding the normal physiological functions of cells. Existing methods for …

Spatiotemporal constrained RNA–protein heterogeneous network for protein complex identification

Z Li, S Wang, H Cui, X Liu, Y Zhang - Briefings in Bioinformatics, 2024 - academic.oup.com
The identification of protein complexes from protein interaction networks is crucial in the
understanding of protein function, cellular processes and disease mechanisms. Existing …

Protein Complex Identification Based on Heterogeneous Protein Information Network

P Zhou, Y Zhang, Z Li, K Pang… - Journal of Computational …, 2023 - liebertpub.com
Protein complexes are the foundation of all cellular activities, and accurately identifying them
is crucial for studying cellular systems. The efficient discovery of protein complexes is a …

Heterogeneous PPI network representation learning for protein complex identification

P Zhou, Y Zhang, F Chen, K Pang, M Lu - International Symposium on …, 2022 - Springer
Protein complexes are critical units for studying a cell system. How to accurately identify
protein complexes has always been the focus of research. Most of the existing methods are …

[HTML][HTML] Multimodal deep representation learning for protein interaction identification and protein family classification

D Zhang, M Kabuka - BMC bioinformatics, 2019 - Springer
Abstract Background Protein-protein interactions (PPIs) engage in dynamic pathological and
biological procedures constantly in our life. Thus, it is crucial to comprehend the PPIs …

Contrastive Self-Supervised Representation Learning for Protein Complexes Identification

P Zhou, Y Zhang, F Chen, M Lu, W Qu… - … on Bioinformatics and …, 2022 - ieeexplore.ieee.org
The identification of protein complexes can help understand cellular organization principles
and the mechanism of biological evolution. In recent years, researchers have proposed …

[HTML][HTML] A multi-network clustering method for detecting protein complexes from multiple heterogeneous networks

L Ou-Yang, H Yan, XF Zhang - BMC bioinformatics, 2017 - Springer
Background The accurate identification of protein complexes is important for the
understanding of cellular organization. Up to now, computational methods for protein …

A method for predicting protein complexes from dynamic weighted protein–protein interaction networks

L Liu, X Sun, W Song, C Du - Journal of Computational Biology, 2018 - liebertpub.com
Predicting protein complexes from protein–protein interaction (PPI) network is of great
significance to recognize the structure and function of cells. A protein may interact with …

DPCMNE: detecting protein complexes from protein-protein interaction networks via multi-level network embedding

X Meng, J Xiang, R Zheng, FX Wu… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Biological functions of a cell are typically carried out through protein complexes. The
detection of protein complexes is therefore of great significance for understanding the …

A Construction Method for a Dynamic Weighted Protein Network Using Multi-Level Embedding

P Li, S Guo, C Zhang, MM Parvej, J Zhang - Applied Sciences, 2024 - mdpi.com
The rapid development of high-throughput technology has generated a large amount of
protein–protein interaction (PPI) data, which provide a large amount of data support for …