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

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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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

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1 shared paperBioinformatics

Ashraf MohamedORCID

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1 paper

Recent·Most cited

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.

Journal of Chemical Information and Modeling · Mar 16, 2026Peer-reviewedBioinformatics