A first computational frame for recognizing heparin-binding protein

W Zhu, SS Yuan, J Li, CB Huang, H Lin, B Liao - Diagnostics, 2023 - mdpi.com
Heparin-binding protein (HBP) is a cationic antibacterial protein derived from multinuclear
neutrophils and an important biomarker of infectious diseases. The correct identification of …

[HTML][HTML] Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer

L Ren, D Huang, H Liu, L Ning… - Oncology …, 2024 - … .spandidos-publications.com
Gastric cancer (GC) is a prominent contributor to global cancer‑related mortalities, and a
deeper understanding of its molecular characteristics and tumor heterogeneity is required …

Role of oxidative stress in the concurrent development of osteoporosis and tendinopathy: Emerging challenges and prospects for treatment modalities

X Xia, Z Fang, Y Qian, Y Zhou, H Huang… - Journal of Cellular …, 2024 - Wiley Online Library
Both osteoporosis and tendinopathy are widely prevalent disorders, encountered in diverse
medical contexts. Whilst each condition has distinct pathophysiological characteristics, they …

Cm-siRPred: Predicting chemically modified siRNA efficiency based on multi-view learning strategy

T Liu, J Huang, D Luo, L Ren, L Ning, J Huang… - International Journal of …, 2024 - Elsevier
The rational modification of siRNA molecules is crucial for ensuring their drug-like
properties. Machine learning-based prediction of chemically modified siRNA (cm-siRNA) …

CFNCM: collaborative filtering neighborhood-based model for predicting miRNA-disease associations

BM Momanyi, H Zulfiqar, BK Grace-Mercure… - Computers in Biology …, 2023 - Elsevier
MicroRNAs have a significant role in the emergence of various human disorders.
Consequently, it is essential to understand the existing interactions between miRNAs and …

[HTML][HTML] SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associations

BM Momanyi, YW Zhou, BK Grace-Mercure… - Current Research in …, 2024 - Elsevier
Over the years, extensive research has highlighted the functional roles of small nucleolar
RNAs in various biological processes associated with the development of complex human …

Computational prediction of promotors in Agrobacterium tumefaciens strain C58 by using the machine learning technique

H Zulfiqar, Z Ahmed… - Frontiers in …, 2023 - frontiersin.org
Promotors are those genomic regions on the upstream of genes, which are bound by RNA
polymerase for starting gene transcription. Because it is the most critical element of gene …

E-mula: an ensemble multi-localized attention feature extraction network for viral protein subcellular localization

GM Bakanina Kissanga, H Zulfiqar, S Gao, SB Yussif… - Information, 2024 - mdpi.com
Accurate prediction of subcellular localization of viral proteins is crucial for understanding
their functions and developing effective antiviral drugs. However, this task poses a …

Prediction of apoptosis protein subcellular location based on amphiphilic pseudo amino acid composition

W Su, S Deng, Z Gu, K Yang, H Ding, H Chen… - Frontiers in …, 2023 - frontiersin.org
Introduction: Apoptosis proteins play an important role in the process of cell apoptosis, which
makes the rate of cell proliferation and death reach a relative balance. The function of …

ACVPred: Enhanced prediction of anti-coronavirus peptides by transfer learning combined with data augmentation

Y Xu, T Liu, Y Yang, J Kang, L Ren, H Ding… - Future Generation …, 2024 - Elsevier
Anti-coronavirus peptides (ACVPs) have garnered significant attention in COVID-19
therapeutic research due to their precise targeting, low risk of drug resistance, flexible …