Author

Noha Galal

Zewail City of Science and Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:proteomics· 1

Frequent Co-Authors

Ashraf MohamediD· 1 shared Bernard R. BrooksiD· 1 shared Muhamed AminiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Ashraf MohamedORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsJournal of Chemical Information and ModelingPeer-reviewedMar 16, 2026

Graph Neural Networks Model Based on Atomic Hybridization for Predicting Drug Targets

Ashraf Mohamed, Noha Galal, Bernard R. Brooks, Muhamed Amin

This paper develops a hybrid deep learning model combining graph neural networks and molecular descriptors to predict drug targets with high accuracy and interpretability.

1 citation

proteomicsdeep learning

𝕏 PostBluesky