Potent antibiotic design via guided search from antibacterial activity evaluations

L Chen, L Yu, L Gao - Bioinformatics, 2023 - academic.oup.com
Motivation The emergence of drug-resistant bacteria makes the discovery of new antibiotics
an urgent issue, but finding new molecules with the desired antibacterial activity is an …

Wearable flexible electronics based cardiac electrode for researcher mental stress detection system using machine learning models on single lead electrocardiogram …

MB Bin Heyat, F Akhtar, SJ Abbas, M Al-Sarem… - Biosensors, 2022 - mdpi.com
In the modern world, wearable smart devices are continuously used to monitor people's
health. This study aims to develop an automatic mental stress detection system for …

[HTML][HTML] Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods

H Zulfiqar, Z Guo, BK Grace-Mercure, ZY Zhang… - Computational and …, 2023 - Elsevier
Hormone binding proteins (HBPs) belong to the group of soluble carrier proteins. These
proteins selectively and non-covalently interact with hormones and promote growth …

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 …

iThermo: a sequence-based model for identifying thermophilic proteins using a multi-feature fusion strategy

Z Ahmed, H Zulfiqar, AA Khan, I Gul, FY Dao… - Frontiers in …, 2022 - frontiersin.org
Thermophilic proteins have important application value in biotechnology and industrial
processes. The correct identification of thermophilic proteins provides important information …

Progress and Trends in Neurological Disorders Research Based on Deep Learning

MS Iqbal, MBB Heyat, S Parveen, MAB Hayat… - … Medical Imaging and …, 2024 - Elsevier
In recent years, deep learning (DL) has emerged as a powerful tool in clinical imaging,
offering unprecedented opportunities for the diagnosis and treatment of neurological …

4mCBERT: A computing tool for the identification of DNA N4-methylcytosine sites by sequence-and chemical-derived information based on ensemble learning …

S Yang, Z Yang, J Yang - International Journal of Biological …, 2023 - Elsevier
Abstract N4-methylcytosine (4mC) is an important DNA chemical modification pattern which
is a new methylation modification discovered in recent years and plays critical roles in gene …

i2OM: Toward a better prediction of 2′-O-methylation in human RNA

YH Yang, CY Ma, D Gao, XW Liu, SS Yuan… - International Journal of …, 2023 - Elsevier
O-methylation (2OM) is an omnipresent post-transcriptional modification in RNAs. It is
important for the regulation of RNA stability, mRNA splicing and translation, as well as innate …

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 …