Author

A. Dagan-Wiener

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

Biology Disciplines

Click to filter author papers

Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

E. Margulis· 1 shared K. Siems· 1 shared M. Y. Niv· 1 shared R. S. Ives· 1 shared S. Jaffari· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 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

E. Margulis

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Pharmacology & ToxicologybioRxivJun 24, 2020

Intense bitterness of molecules: machine learning for expediting drug discovery

E. Margulis, A. Dagan-Wiener, R. S. Ives…·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.

DOI 10.1016/j.csbj.2020.12.030

machine learning (classical)drug response / drug discovery

𝕏 PostBluesky