Author

Eugen Lounkine

ORCID 0000-0002-6487-2946Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Andrea Marco AmatiiD· 1 shared Ansgar SchuffenhaueriD· 1 shared Christian Bergsdorf· 1 shared Edward J. OakeleyiD· 1 shared Hanspeter Gubler· 1 shared Jeremy L. JenkinsiD· 1 shared Jinhua WangiD· 1 shared Karen KapuriD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Andrea Marco AmatiORCID

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2 papers

Recent·Most cited

Gene-signatures predict biologically relevant dose-response potencies in phenotypic assays

Steffen Renner, Christian Bergsdorf, Rochdi Bouhelal, Magdalena Koziczak‐Holbro, Andrea Marco Amati, Valerie Techer-Etienne, Ludivine Flotte, Nicole Reymann, Karen Kapur, Sebastian Hoersch, Edward J. Oakeley, Ansgar Schuffenhauer, Hanspeter Gubler, Eugen Lounkine, Pierre J. Farmer

The paper introduces a method to quantify gene-signature dose-response potencies as EC50 and IC50 values, validated using two signaling pathways and showing high correlation with orthogonal readouts.

bioRxiv · Oct 9, 2019 · PreprintBioinformatics

Cheminformatics tools for analyzing and designing optimized small molecule libraries

Nienke Moret, Nicholas A. Clark, Marc A. Hafner, Yuan Wang, Eugen Lounkine, Mario Medvedovic, Jinhua Wang, Nathanael S. Gray, Jeremy L. Jenkins, Peter Karl Sorger

The paper develops tools to compare and design optimized small molecule libraries using chemical and biological data, resulting in a more effective kinase inhibitor library.

Cell chemical biology · Jan 1, 2018Peer-reviewedSystems Biology