Author

Mahmoud Ebrahimkhani

ORCID 0000-0002-3058-6247Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Brandon MooreiD· 1 shared Bridget M. Cole· 1 shared Daniel Ramirez· 1 shared Jennifer O. Nwankwo· 1 shared Jesse W. CollinsiD· 1 shared Jonathan Deiloff· 1 shared Laurence Philippe-VeneciD· 1 shared Mauro Gonzalez· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 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 paperPharmacology & Toxicology

Brandon MooreORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintOct 12, 2024

Attentive graph neural network models for the prediction of blood-brain barrier permeability

Jesse W. Collins, Mahmoud Ebrahimkhani, Daniel Ramirez…·Jennifer O. Nwankwo

This study benchmarks machine learning models for predicting blood-brain barrier permeability, showing attentive graph neural networks outperform traditional methods.

4 citations

deep learninggraph neural network

𝕏 PostBluesky