Comprehensive Analysis of Computational Models for Prediction of Anticancer Peptides Using Machine Learning and Deep Learning

F Ali, N Ibrahim, R Alsini, A Masmoudi… - … Methods in Engineering, 2025 - Springer
Anti-cancer peptides (ACPs) represent promising candidates for cancer therapy because
they can target cancer cells selectively while leaving healthy cells unaffected. ACPs offer a …

VEGF-ERCNN: A deep learning-based model for prediction of vascular endothelial growth factor using ensemble residual CNN

F Ali, M Khalid, A Masmoudi, W Alghamdi… - Journal of …, 2024 - Elsevier
Abstract Vascular Endothelial Growth Factor (VEGF), a signaling protein family, is essential
in angiogenesis, regulating the growth and survival of endothelial cells that create blood …

[HTML][HTML] Multi-headed ensemble residual CNN: a powerful tool for fibroblast growth factor prediction

N Almusallam, F Ali, H Kumar, T Alkhalifah… - Results in …, 2024 - Elsevier
Abstract Fibroblast Growth Factor (FGF) performs a significant role in the repair, nervous
system, development, and maintenance, making it a promising target for treating …

TargetCLP: clathrin proteins prediction combining transformed and evolutionary scale modeling-based multi-view features via weighted feature integration approach

M Ullah, S Akbar, A Raza, KA Khan… - Briefings in …, 2025 - academic.oup.com
Clathrin proteins, key elements of the vesicle coat, play a crucial role in various cellular
processes, including neural function, signal transduction, and endocytosis. Disruptions in …

Deep‐GB: A novel deep learning model for globular protein prediction using CNN‐BiLSTM architecture and enhanced PSSM with trisection strategy

S Zouari, F Ali, A Masmoudi, SA Ghazalah… - IET Systems …, 2024 - Wiley Online Library
Globular proteins (GPs) play vital roles in a wide range of biological processes,
encompassing enzymatic catalysis and immune responses. Enzymes, among these globular …