Author

Karim S. Shalaby

Ain Shams UniversityORCID 0000-0001-7600-4137Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:statistical model· 1

Frequent Co-Authors

Alpha Tom KodamulliliD· 2 shared Abish Kaladharan· 1 shared Ahmed Hossameldin Mohamed· 1 shared Bruce T. SchultziD· 1 shared Heval AtaşiD· 1 shared Martin Hofmann‐ApitiusiD· 1 shared Sathvik Guru RaoiD· 1 shared Vinay Srinivas BharadhwajiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Alpha Tom KodamullilORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 18, 2026

KG-Orchestra: An Open-Source Multi-Agent Framework for Evidence-Based Biomedical Knowledge Graphs Enrichment.

Ahmed Hossameldin Mohamed, Karim S. Shalaby, Abish Kaladharan…·Alpha Tom Kodamullil

KG-Orchestra enriches biomedical knowledge graphs by combining manual curation and automated LLM methods to improve granularity and evidence quality.

DOI 10.64898/2026.02.18.706536

deep learningstatistical model

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BioinformaticsBioinformatics AdvancesPeer-reviewedDec 26, 2024

SynDRep: A Knowledge Graph-Enhanced Tool based on Synergistic Partner Prediction for Drug Repurposing

Karim S. Shalaby, Sathvik Guru Rao, Bruce T. Schultz…·Vinay Srinivas Bharadhwaj

SynDRep predicts synergistic drug partners for disease repurposing using knowledge graphs and machine learning, achieving 84.58% true predictions with HolE and 0.796 ROC-AUC with random forest.

3 citations

machine learning (classical)drug response / drug discovery

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