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 …

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 …

THRONE: a new approach for accurate prediction of human RNA N7-methylguanosine sites

W Shoombuatong, S Basith, T Pitti, G Lee… - Journal of Molecular …, 2022 - Elsevier
Abstract N 7-methylguanosine (m7G) is an essential, ubiquitous, and positively charged
modification at the 5′ cap of eukaryotic mRNA, modulating its export, translation, and …

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

W Su, XQ Xie, 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 …

iPADD: a computational tool for predicting potential antidiabetic drugs using machine learning algorithms

XW Liu, TY Shi, D Gao, CY Ma, H Lin… - Journal of Chemical …, 2023 - ACS Publications
Diabetes mellitus is a chronic metabolic disease, which causes an imbalance in blood
glucose homeostasis and further leads to severe complications. With the increasing …

Current computational tools for protein lysine acylation site prediction

Z Qin, H Ren, P Zhao, K Wang, H Liu… - Briefings in …, 2024 - academic.oup.com
As a main subtype of post-translational modification (PTM), protein lysine acylations (PLAs)
play crucial roles in regulating diverse functions of proteins. With recent advancements in …

[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 …

iLncDA-LTR: Identification of lncRNA-disease associations by learning to rank

H Wu, Q Liang, W Zhang, Q Zou, AEL Hesham… - Computers in Biology …, 2022 - Elsevier
Identifying the associations between lncRNAs and diseases is helpful for the treatment and
diagnosis of complex diseases. The existing computational methods mainly focus on the …

[HTML][HTML] Computational prediction of protein folding rate using structural parameters and network centrality measures

S Nithiyanandam, VK Sangaraju, B Manavalan… - Computers in Biology …, 2023 - Elsevier
Protein folding is a complex physicochemical process whereby a polymer of amino acids
samples numerous conformations in its unfolded state before settling on an essentially …

RCCC_Pred: a novel method for sequence-based identification of renal clear cell carcinoma genes through DNA mutations and a blend of features

A Hassan, T Alkhalifah, F Alturise, YD Khan - Diagnostics, 2022 - mdpi.com
To save lives from cancer, it is very crucial to diagnose it at its early stages. One solution to
early diagnosis lies in the identification of the cancer driver genes and their mutations. Such …