Author

E. Margulis

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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Biochemistry· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

M. Y. Niv· 2 shared A. Dagan-Wiener· 1 shared K. Siems· 1 shared M. Behrens· 1 shared R. S. Ives· 1 shared S. Jaffari· 1 shared T. Lang· 1 shared Y. Benjamini· 1 shared

Activity by Year

2020-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 20 mutual co-author links

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2 shared papersBiochemistry

M. Y. Niv

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2 papers

Recent·Most cited

BitterMatch: Recommendation systems for matching molecules with bitter taste receptors

E. Margulis, Y. Slavutsky, T. Lang, M. Behrens, Y. Benjamini, M. Y. Niv

BitterMatch predicts ligand-receptor associations for bitter taste receptors with 80% precision and 42% recall using a hybrid recommendation system approach.

bioRxiv · Jan 13, 2022Biochemistry

Intense bitterness of molecules: machine learning for expediting drug discovery

E. Margulis, A. Dagan-Wiener, R. S. Ives, S. Jaffari, K. Siems, M. Y. Niv

BitterIntense is a machine learning tool that predicts intense bitterness of molecules, helping to reduce drug development delays and animal use by identifying bitter compounds early.

bioRxiv · Jun 24, 2020Pharmacology & Toxicology