Accurately identifying hemagglutinin using sequence information and machine learning methods

X Zou, L Ren, P Cai, Y Zhang, H Ding, K Deng… - Frontiers in …, 2023 - frontiersin.org
Introduction Hemagglutinin (HA) is responsible for facilitating viral entry and infection by
promoting the fusion between the host membrane and the virus. Given its significance in the …

H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA

NT Pham, R Rakkiyapan, J Park, A Malik… - Briefings in …, 2024 - academic.oup.com
O-methylation (2OM) is the most common post-transcriptional modification of RNA. It plays a
crucial role in RNA splicing, RNA stability and innate immunity. Despite advances in high …

Bitter-RF: a random forest machine model for recognizing bitter peptides

YF Zhang, YH Wang, ZF Gu, XR Pan, J Li… - Frontiers in …, 2023 - frontiersin.org
Introduction Bitter peptides are short peptides with potential medical applications. The huge
potential behind its bitter taste remains to be tapped. To better explore the value of bitter …

iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA

W Su, XQ **e, XW Liu, D Gao, CY Ma, H Zulfiqar… - International Journal of …, 2023 - Elsevier
Abstract RNA N4-acetylcytidine (ac4C) is the acetylation of cytidine at the nitrogen-4
position, which is a highly conserved RNA modification and involves a variety of biological …

i2OM: Toward a better prediction of 2′-O-methylation in human RNA

YH Yang, CY Ma, D Gao, XW Liu, SS Yuan… - International Journal of …, 2023 - Elsevier
O-methylation (2OM) is an omnipresent post-transcriptional modification in RNAs. It is
important for the regulation of RNA stability, mRNA splicing and translation, as well as innate …

Computational approaches for predicting drug-disease associations: a comprehensive review

Z Huang, Z **ao, C Ao, L Guan, L Yu - Frontiers of Computer Science, 2025 - Springer
In recent decades, traditional drug research and development have been facing challenges
such as high cost, long timelines, and high risks. To address these issues, many …

Deep-AGP: Prediction of angiogenic protein by integrating two-dimensional convolutional neural network with discrete cosine transform

F Ali, W Alghamdi, AO Almagrabi, O Alghushairy… - International Journal of …, 2023 - Elsevier
Angiogenic proteins (AGPs) play a primary role in the formation of new blood vessels from
pre-existing ones. AGPs have diverse applications in cancer, including serving as …

ncRS: A resource of non-coding RNAs in sepsis

B Zhong, Y Dai, L Chen, X Xu, Y Lan, L Deng… - Computers in Biology …, 2024 - Elsevier
Sepsis, a life-threatening condition triggered by the body's response to infection, presents a
significant global healthcare challenge characterized by disarrayed host responses …

[HTML][HTML] GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features

A Malik, W Shoombuatong, CB Kim… - International Journal of …, 2023 - Elsevier
The cell surface proteins of gram-positive bacteria are involved in many important biological
functions, including the infection of host cells. Owing to their virulent nature, these proteins …