الأبحاث

ابراهيم زغلول بشير عبد الباقى

أستاذ مساعد

كلية الحاسبات والذكاء الاصطناعي الذكاء الإصطناعي

Unveiling NLR pathway signatures: EP300 and CPN60 markers integrated with clinical data and machine learning for precision NASH diagnosis

Academic Press 2025

Machine learning classification approaches for prediction of effective diabetes drugs

Elsevier 2025

Disability classification using machine learning on functional assessment data

Springer International Publishing 2025

Hybrid transformer-CNN model for accurate prediction of peptide hemolytic potential

Nature Publishing Group UK 2024

Machine learning based identification potential feature genes for prediction of drug efficacy in nonalcoholic steatohepatitis animal model

BioMed Central 2024

Enhanced prediction of hemolytic activity in antimicrobial peptides using deep learning-based sequence analysis

BioMed Central 2024

Prediction of kinase inhibitors binding modes with machine learning and reduced descriptor sets

Nature 2021

Recent omics-based computational methods for COVID-19 drug discovery and repurposing

Oxford University Press 2021

البحث الكامل الملخص

A Report on Multi-Target Anti-Inflammatory Properties of Phytoconstituents from Monochoria hastata (Family: Pontederiaceae)

MDPI 2021

Identification of miRNA-Small Molecule Associations by Continuous Feature Representation Using Auto-Encoders

MDPI 2021

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Bioinformatics

Computer-Aided Drug Design

Deep Learning in Medecine

Machine Learning