Author

Seth D. Axen

University of California, San FranciscoORCID 0000-0003-3933-8247Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:protein structure· 1 Approach:statistical model· 1

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Bryan L. RothiD· 1 shared Elena L. CáceresiD· 1 shared Leo GendeleviD· 1 shared Michael J. KeiseriD· 1 shared Xi‐Ping HuangiD· 1 shared

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2017-2017 · peak 1/yr

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Bryan L. RothORCID

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1 paper

Recent·Most cited

BioinformaticsJournal of Medicinal ChemistryPeer-reviewedJul 21, 2017

A Simple Representation Of Three-Dimensional Molecular Structure

Seth D. Axen, Xi‐Ping Huang, Elena L. Cáceres…·Michael J. Keiser

This paper introduces a 3D molecular representation (E3FP) that improves drug-to-target prediction compared to 2D fingerprints, with experimental validation of novel binding predictions.

133 citationstop 3%

protein structurestatistical model

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