Distance-based support vector machine to predict DNA N6-methyladenine modification
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 …
system to isolate invasion from adventive DNA. The shortcomings of the high time …
Accurately identifying hemagglutinin using sequence information and machine learning methods
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 …
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 …
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 …
manufacturing, storage, and shipping. Deamidation, isomerization, and oxidation can …
Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides
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 …
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
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 …
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 …
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 …
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 …
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 …
position, which is a highly conserved RNA modification and involves a variety of biological …