HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature …

NT Pham, Y Zhang, R Rakkiyappan… - Computers in Biology and …, 2024 - Elsevier
O-linked glycosylation is a complex post-translational modification (PTM) in human proteins
that plays a critical role in regulating various cellular metabolic and signaling pathways. In …

Unveiling α-Amylase Inhibition: A Bioinformatics Perspective on Peptide Properties and Amino Acid Contributions

AM Rodhi, PG Yap, OA Olalere, CY Gan - Journal of Molecular Structure, 2024 - Elsevier
Abstract α-Amylase (AA) inhibitory peptides are a new class of anti-diabetic therapeutic
agents. A high number of peptides with different amino acid sequences were identified by …

Discovery of potential antidiabetic peptides using deep learning

J Yue, J Xu, T Li, Y Li, Z Chen, S Liang, Z Liu… - Computers in Biology …, 2024 - Elsevier
Antidiabetic peptides (ADPs), peptides with potential antidiabetic activity, hold significant
importance in the treatment and control of diabetes. Despite their therapeutic potential, the …

Unlocking the potential: A novel prognostic index signature for acute myeloid leukemia

LQ Zhang, YC Liang, JX Wang, J Zhang, T La… - Computers in Biology …, 2024 - Elsevier
Acute myeloid leukemia (AML) is an aggressive malignancy characterized by challenges in
treatment, including drug resistance and frequent relapse. Recent research highlights the …

mHPpred: Accurate identification of peptide hormones using multi-view feature learning

S Basith, VK Sangaraju, B Manavalan, G Lee - Computers in Biology and …, 2024 - Elsevier
Peptide hormones were first used in medicine in the early 20th century, with the pivotal
event being the isolation and purification of insulin in 1921. These hormones are integral to …

SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features

S Basith, NT Pham, B Manavalan, G Lee - International Journal of …, 2024 - Elsevier
Allergy is a hypersensitive condition in which individuals develop objective symptoms when
exposed to harmless substances at a dose that would cause no harm to a “normal” person …

Stack-AVP: a stacked ensemble predictor based on multi-view information for fast and accurate discovery of antiviral peptides

P Charoenkwan, P Chumnanpuen… - Journal of Molecular …, 2024 - Elsevier
AVPs, or antiviral peptides, are short chains of amino acids capable of inhibiting viral
replication, preventing viral entry, or disrupting viral membranes. They represent a promising …

ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning

NT Pham, AT Terrance, YJ Jeon, R Rakkiyappan… - … Therapy-Nucleic Acids, 2024 - cell.com
RNA N4-acetylcytidine (ac4C) is a highly conserved RNA modification that plays a crucial
role in controlling mRNA stability, processing, and translation. Consequently, accurate …

[HTML][HTML] Predicting Antidiabetic Peptide Activity: A Machine Learning Perspective on Type 1 and Type 2 Diabetes

K Cai, Z Zhang, W Zhu, X Liu, T Yu, W Liao - International Journal of …, 2024 - mdpi.com
Diabetes mellitus (DM) presents a critical global health challenge, characterized by
persistent hyperglycemia and associated with substantial economic and health-related …

Three-dimensional morphology scoring of hepatocellular carcinoma stratifies prognosis and immune infiltration

X Wang, C Yu, Y Sun, Y Liu, S Tang, Y Sun… - Computers in Biology …, 2024 - Elsevier
Background The morphological attributes could serve as pivotal indicators precipitating
early recurrence and dismal overall survival in hepatocellular carcinoma (HCC), and …