Author

J. J. Kerner

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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Bioengineering· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

H. von Recum· 1 shared

Activity by Year

2020-2020 · peak 1/yr

1 paper

Recent·Most cited

BioengineeringbioRxivPreprintNov 10, 2020

Predicting Drug Interactions to Unassociated Biomedical Implants Using Machine Learning Techniques and Model Polymers

J. J. Kerner, H. von Recum

The paper develops a universal model to predict drug-polymer binding affinity using machine learning and quantitative structure-activity relationships, achieving high correlation with experimental data.

DOI 10.1101/2020.11.10.374900

machine learning (classical)drug response / drug discovery

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