The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes

D Gao, L Ren, YD Hao, N Schaduangrat… - Briefings in …, 2024 - academic.oup.com
Non-coding RNAs (ncRNAs) are a class of RNA molecules that do not have the potential to
encode proteins. Meanwhile, they can occupy a significant portion of the human genome …

Internet of things (IoT) security challenges and solutions: A systematic literature review

RF Ali, A Muneer, PDD Dominic, SM Taib… - Advances in Cyber …, 2021 - Springer
Abstract The Internet of Things (IoT), often known as the Internet of Everything, is a new
technological paradigm visualized as a worldwide network of interconnected machines. IoT …

[HTML][HTML] The applications of deep learning algorithms on in silico druggable proteins identification

L Yu, L Xue, F Liu, Y Li, R Jing, J Luo - Journal of Advanced Research, 2022 - Elsevier
Introduction The top priority in drug development is to identify novel and effective drug
targets. In vitro assays are frequently used for this purpose; however, traditional …

Deepro-Glu: combination of convolutional neural network and Bi-LSTM models using ProtBert and handcrafted features to identify lysine glutarylation sites

X Wang, Z Ding, R Wang, X Lin - Briefings in Bioinformatics, 2023 - academic.oup.com
Lysine glutarylation (Kglu) is a newly discovered post-translational modification of proteins
with important roles in mitochondrial functions, oxidative damage, etc. The established …

PseU-Pred: an ensemble model for accurate identification of pseudouridine sites

MT Suleman, YD Khan - Analytical Biochemistry, 2023 - Elsevier
Pseudouridine (ψ) is reported to occur frequently in all types of RNA. This uridine
modification has been shown to be essential for processes such as RNA stability and stress …

The Sustainable Rural Industrial Development under Entrepreneurship and Deep Learning from Digital Empowerment

S Gao, X Yang, H Long, F Zhang, Q Xin - Sustainability, 2023 - mdpi.com
This paper aims to realize the planning of resource utilization and development of rural
industries endowed by digitalization under entrepreneurship. First, the global classic …

Deep transfer learning-based computer vision for real-time harvest period classification and impurity detection of Porphyra haitnensis

Z Gao, J Huang, J Chen, T Shao, H Ni, H Cai - Aquaculture International, 2024 - Springer
Seaweed has attracted great attention as a healthy and nutritious food. Traditional seaweed
processing plants mainly rely on manual visual inspection to identify and remove inferior …

iDHU-Ensem: Identification of dihydrouridine sites through ensemble learning models

MT Suleman, F Alturise, T Alkhalifah… - Digital Health, 2023 - journals.sagepub.com
Background Dihydrouridine (D) is one of the most significant uridine modifications that have
a prominent occurrence in eukaryotes. The folding and conformational flexibility of transfer …

DeepDN_iGlu: prediction of lysine glutarylation sites based on attention residual learning method and DenseNet.

J Jia, M Sun, G Wu, W Qiu - Mathematical Biosciences and …, 2022 - europepmc.org
As a key issue in orchestrating various biological processes and functions, protein post-
translational modification (PTM) occurs widely in the mechanism of protein's function of …

Ensemble learning for hormone binding protein prediction: a promising approach for early diagnosis of thyroid hormone disorders in serum

AH Butt, T Alkhalifah, F Alturise, YD Khan - Diagnostics, 2023 - mdpi.com
Hormone-binding proteins (HBPs) are specific carrier proteins that bind to a given hormone.
A soluble carrier hormone binding protein (HBP), which can interact non-covalently and …