Distance-based support vector machine to predict DNA N6-methyladenine modification

H Zhang, Q Zou, Y Ju, C Song, D Chen - Current Bioinformatics, 2022 - ingentaconnect.com
Background: DNA N6-methyladenine plays an important role in the restriction-modification
system to isolate invasion from adventive DNA. The shortcomings of the high time …

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 …

Critical evaluation of web-based DNA N6-methyladenine site prediction tools

MM Hasan, W Shoombuatong, H Kurata… - Briefings in …, 2021 - academic.oup.com
Methylation of DNA N6-methyladenosine (6mA) is a type of epigenetic modification that
plays pivotal roles in various biological processes. The accurate genome-wide identification …

In silico prediction of post-translational modifications in therapeutic antibodies

S Vatsa - MAbs, 2022 - Taylor & Francis
Monoclonal antibodies are susceptible to chemical and enzymatic modifications during
manufacturing, storage, and shipping. Deamidation, isomerization, and oxidation can …

Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides

J Xu, F Li, A Leier, D Xiang, HH Shen… - Briefings in …, 2021 - academic.oup.com
Antimicrobial peptides (AMPs) are a unique and diverse group of molecules that play a
crucial role in a myriad of biological processes and cellular functions. AMP-related studies …

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction

S Basith, G Lee, B Manavalan - Briefings in Bioinformatics, 2022 - academic.oup.com
Protein post-translational modification (PTM) is an important regulatory mechanism that
plays a key role in both normal and disease states. Acetylation on lysine residues is one 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 …

iBLP: An XGBoost‐Based Predictor for Identifying Bioluminescent Proteins

D Zhang, HD Chen, H Zulfiqar, SS Yuan… - … Methods in Medicine, 2021 - Wiley Online Library
Bioluminescent proteins (BLPs) are a class of proteins that widely distributed in many living
organisms with various mechanisms of light emission including bioluminescence and …

A statistical analysis of the sequence and structure of thermophilic and non-thermophilic proteins

Z Ahmed, H Zulfiqar, L Tang, H Lin - International Journal of Molecular …, 2022 - mdpi.com
Thermophilic proteins have various practical applications in theoretical research and in
industry. In recent years, the demand for thermophilic proteins on an industrial scale has …

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 …