Author

Mohamed Hassan

Suez Canal UniversityORCID 0000-0001-6116-6707Unclaimed ORCID profile · follow to get notified of new preprints

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Mohamed Hassan2 papers · Cornell University

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Abdelrahman Hamza AbdelmoneimiD· 1 shared Ahmed F. Ibrahim· 1 shared Mujahed I. MustafaiD· 1 shared Nafisa M. ElfadoliD· 1 shared Thwayba A. Mahmoud· 1 shared Youssef Ali· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperBioinformatics

Abdelrahman Hamza AbdelmoneimORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 12, 2026

Hierarchical Deep Learning Framework Integrating Structural Interaction Potentials and Evolutionary Information for Protein-Protein Interaction Affinity Prediction

Ahmed F. Ibrahim, Mohamed Hassan, Youssef Ali

This paper introduces StructFuncNet, a deep learning framework for predicting protein-protein interaction affinity using structural and evolutionary data, achieving state-of-the-art performance across multiple benchmarks.

DOI 10.64898/2026.01.12.698948

protein structuredeep learning

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BioinformaticsbioRxivPreprintFeb 10, 2019

In Silico Genetics: Identification of pathogenic nsSNPs in human STAT3 gene associated with Job's syndrome

Mujahed I. Mustafa, Abdelrahman Hamza Abdelmoneim, Nafisa M. Elfadol…·Mohamed Hassan

This study identifies eleven novel pathogenic nsSNPs in the STAT3 gene associated with Job's syndrome using in silico analysis of SNPs from dbSNP/NCBI.

DOI 10.1101/545657

humanwhole-exome sequencing

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