Author

Jonathan Deiloff

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

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Pharmacology & Toxicology· 1

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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 Laurence Philippe-VeneciD· 1 shared Mahmoud EbrahimkhaniiD· 1 shared Mauro Gonzalez· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperPharmacology & Toxicology

Brandon MooreORCID

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1 paper

Recent·Most cited

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

Jesse W. Collins, Mahmoud Ebrahimkhani, Daniel Ramirez, Jonathan Deiloff, Mauro Gonzalez, Mostafa Abedi, Laurence Philippe-Venec, Bridget M. Cole, Brandon Moore, Jennifer O. Nwankwo

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

bioRxiv · Oct 12, 2024 · PreprintPharmacology & Toxicology