Author

Mariana Aßmann

ORCID 0000-0002-4280-7713Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Hagen TriendliD· 1 shared Jarryl M. D’Oyley· 1 shared Lawrence Phillips· 1 shared Matthias BaliD· 1 shared Michael CraigiD· 1 shared Noor ShakeriD· 1 shared Parminder Ruprah· 1 shared Paul A. BatesiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Hagen TriendlORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintMar 18, 2020

A Novel Machine Learning Approach Uncovers New and Distinctive Inhibitors for Cyclin-Dependent Kinase 9

Mariana Aßmann, Matthias Bal, Michael Craig…·Vid Stojevic

This study introduces a machine learning method that discovers new CDK9 inhibitors with high binding affinity and synthetic feasibility, achieving a 10% hit rate in biochemical assays.

5 citations

machine learning (classical)drug response / drug discovery

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