PAtbP-EnC: Identifying anti-tubercular peptides using multi-feature representation and genetic algorithm-based deep ensemble model

S Akbar, A Raza, T Al Shloul, A Ahmad, A Saeed… - IEEE …, 2023 - ieeexplore.ieee.org
Mycobacterium tuberculosis, a highly perilous pathogen in humans, serves as the causative
agent of tuberculosis (TB), affecting nearly 33% of the global population. With the increasing …

iAFPs-EnC-GA: identifying antifungal peptides using sequential and evolutionary descriptors based multi-information fusion and ensemble learning approach

A Ahmad, S Akbar, M Tahir, M Hayat, F Ali - Chemometrics and Intelligent …, 2022 - Elsevier
Fungal infections have become a serious health concern for human beings worldwide.
Fungal infections usually occur when the invading fungus appear on a particular part of the …

iAtbP-Hyb-EnC: Prediction of antitubercular peptides via heterogeneous feature representation and genetic algorithm based ensemble learning model

S Akbar, A Ahmad, M Hayat, AU Rehman… - Computers in Biology …, 2021 - Elsevier
Tuberculosis (TB) is a worldwide illness caused by the bacteria Mycobacterium tuberculosis.
Owing to the high prevalence of multidrug-resistant tuberculosis, numerous traditional …

Prediction of antiviral peptides using transform evolutionary & SHAP analysis based descriptors by incorporation with ensemble learning strategy

S Akbar, F Ali, M Hayat, A Ahmad, S Khan… - … and Intelligent Laboratory …, 2022 - Elsevier
Viral diseases are a major health concern in the last few years. Antiviral peptides (AVPs)
belong to a type of antimicrobial peptides (AMPs) that have the high potential to defend the …

Identifying neuropeptides via evolutionary and sequential based multi-perspective descriptors by incorporation with ensemble classification strategy

S Akbar, HG Mohamed, H Ali, A Saeed, AA Khan… - IEEE …, 2023 - ieeexplore.ieee.org
Neuropeptides (NPs) are a kind of neuromodulator/neurotransmitter that works as signaling
molecules in the central nervous system, and perform major roles in physiological and …

Recent advances in the prediction of subcellular localization of proteins and related topics

K Nakai, L Wei - Frontiers in Bioinformatics, 2022 - frontiersin.org
Prediction of subcellular localization of proteins from their amino acid sequences has a long
history in bioinformatics and is still actively developing, incorporating the latest advances in …

Lignin biosynthesis regulated by CsCSE1 is required for Cucumis sativus defence to Podosphaera xanthii

Y Yu, Y Yu, N Cui, L Ma, R Tao, Z Ma, X Meng… - Plant Physiology and …, 2022 - Elsevier
Lignin is a complex phenolic compound that can enhance the stiffness, hydrophobicity, and
antioxidant capacity of the cell wall; it thus provides a critical barrier against pathogen and …

Genome-Wide Identification of Strawberry C2H2-ZFP C1-2i Subclass and the Potential Function of FaZAT10 in Abiotic Stress

H Li, M Yue, L Jiang, Y Liu, N Zhang, X Liu… - International Journal of …, 2022 - mdpi.com
C2H2-type zinc finger proteins (C2H2-ZFPs) play a key role in various plant biological
processes and responses to environmental stresses. In Arabidopsis thaliana, C2H2-ZFP …

Cucumis sativus CsbZIP90 suppresses Podosphaera xanthii resistance by modulating reactive oxygen species

L Liu, L Ma, Y Yu, Z Ma, Y Yin, S Zhou, Y Yu, N Cui… - Plant Science, 2024 - Elsevier
Resistance to disease in plants requires the coordinated action of multiple functionally
related genes, as it is difficult to improve disease resistance with a single functional gene …

ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning

T Bai, B Liu - Briefings in Functional Genomics, 2023 - academic.oup.com
Subcellular localizations of ncRNAs are associated with specific functions. Currently, an
increasing number of biological researchers are focusing on computational approaches to …