Predicting protein–protein interactions from the molecular to the proteome level

O Keskin, N Tuncbag, A Gursoy - Chemical reviews, 2016 - ACS Publications
Identification of protein–protein interactions (PPIs) is at the center of molecular biology
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …

GMNN2CD: identification of circRNA–disease associations based on variational inference and graph Markov neural networks

M Niu, Q Zou, C Wang - Bioinformatics, 2022 - academic.oup.com
Motivation With the analysis of the characteristic and function of circular RNAs (circRNAs),
people have realized that they play a critical role in the diseases. Exploring the relationship …

An efficient approach based on multi-sources information to predict circRNA–disease associations using deep convolutional neural network

L Wang, ZH You, YA Huang, DS Huang… - …, 2020 - academic.oup.com
Motivation Emerging evidence indicates that circular RNA (circRNA) plays a crucial role in
human disease. Using circRNA as biomarker gives rise to a new perspective regarding our …

MGRCDA: Metagraph recommendation method for predicting circRNA–disease association

L Wang, ZH You, DS Huang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Clinical evidence began to accumulate, suggesting that circRNAs can be novel therapeutic
targets for various diseases and play a critical role in human health. However, limited by the …

IMS-CDA: prediction of CircRNA-disease associations from the integration of multisource similarity information with deep stacked autoencoder model

L Wang, ZH You, JQ Li… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Emerging evidence indicates that circular RNA (circRNA) has been an indispensable role in
the pathogenesis of human complex diseases and many critical biological processes. Using …

[HTML][HTML] Extracellular Vesicles Produced by the Probiotic Propionibacterium freudenreichii CIRM-BIA 129 Mitigate Inflammation by Modulating the NF-κB Pathway

VR Rodovalho, BSR Luz, H Rabah… - Frontiers in …, 2020 - frontiersin.org
Extracellular vesicles (EVs) are nanometric spherical structures involved in intercellular
communication, whose production is considered to be a widespread phenomenon in living …

Computational network inference for bacterial interactomics

K James, J Muñoz-Muñoz - Msystems, 2022 - Am Soc Microbiol
Since the large-scale experimental characterization of protein–protein interactions (PPIs) is
not possible for all species, several computational PPI prediction methods have been …

THGNCDA: circRNA–disease association prediction based on triple heterogeneous graph network

Y Guo, M Yi - Briefings in Functional Genomics, 2024 - academic.oup.com
Circular RNAs (circRNAs) are a class of noncoding RNA molecules featuring a closed
circular structure. They have been proved to play a significant role in the reduction of many …

Predicting protein–protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach

B Tian, X Wu, C Chen, W Qiu, Q Ma, B Yu - Journal of Theoretical Biology, 2019 - Elsevier
Research on protein–protein interactions (PPIs) not only helps to reveal the nature of life
activities but also plays a driving role in understanding the mechanisms of disease activity …

[HTML][HTML] Functional annotation of hypothetical proteins from the Exiguobacterium antarcticum strain B7 reveals proteins involved in adaptation to extreme …

WLO da Costa, CLA Araújo, LM Dias, LCS Pereira… - PloS one, 2018 - journals.plos.org
Exiguobacterium antarcticum strain B7 is a psychrophilic Gram-positive bacterium that
possesses enzymes that can be used for several biotechnological applications. However …