A survey of circular RNAs in complex diseases: databases, tools and computational methods

Q Xiao, J Dai, J Luo - Briefings in Bioinformatics, 2022 - academic.oup.com
Circular RNAs (circRNAs) are a category of novelty discovered competing endogenous non-
coding RNAs that have been proved to implicate many human complex diseases. A large …

Emerging landscape of molecular interaction networks: Opportunities, challenges and prospects

G Panditrao, R Bhowmick, C Meena, RR Sarkar - Journal of Biosciences, 2022 - Springer
Network biology finds application in interpreting molecular interaction networks and
providing insightful inferences using graph theoretical analysis of biological systems. The …

A deep learning framework for identifying essential proteins based on multiple biological information

Y Yue, C Ye, PY Peng, HX Zhai, I Ahmad, C Xia… - BMC …, 2022 - Springer
Abstract Background Essential Proteins are demonstrated to exert vital functions on cellular
processes and are indispensable for the survival and reproduction of the organism …

A graph neural network model for deciphering the biological mechanisms of plant electrical signal classification

J Yao, Y Ling, P Hou, Z Wang, L Huang - Applied Soft Computing, 2023 - Elsevier
The classification methods of the electrical signal can be effectively applied for the
identification of salt tolerance in plants. Biotechnology can help researchers discover genes …

Rgse: Robust graph structure embedding for anomalous link detection

Z Liu, W Zuo, D Zhang, X Feng - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
Anomalous links such as noisy links or adversarial edges widely exist in real-world
networks, which may undermine the credibility of the network study, eg, community detection …

Identification of essential proteins based on edge features and the fusion of multiple-source biological information

P Liu, C Liu, Y Mao, J Guo, F Liu, W Cai, F Zhao - BMC bioinformatics, 2023 - Springer
Background A major current focus in the analysis of protein–protein interaction (PPI) data is
how to identify essential proteins. As massive PPI data are available, this warrants the …

Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data

J Zhong, Z Qu, Y Zhong, C Tang… - Big Data Mining and …, 2023 - ieeexplore.ieee.org
Essential proteins play a vital role in biological processes, and the combination of gene
expression profiles with Protein-Protein Interaction (PPI) networks can improve the …

Identification of essential protein using chemical reaction optimization and machine learning technique

M Inzamam-Ul-Hossain… - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
For the survival, development, and reproduction of the organism, understanding the working
process of the cell, disease study, design drugs, etc. essential protein plays a crucial role …

Construction of a prognostic prediction model for renal clear cell carcinoma combining clinical traits

Y Weng, P Ning - Scientific Reports, 2023 - nature.com
Kidney renal clear cell carcinoma (KIRC) is one of the common malignant tumors of the
urinary system. Patients with different risk levels are other in terms of disease progression …

Assessment of GO-based protein interaction affinities in the large-scale human–coronavirus family interactome

SS Bandyopadhyay, AK Halder, S Saha, P Chatterjee… - Vaccines, 2023 - mdpi.com
SARS-CoV-2 is a novel coronavirus that replicates itself via interacting with the host
proteins. As a result, identifying virus and host protein-protein interactions could help …