Author

D. Cuturilo

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Pharmacology & Toxicology· 1

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. Becker· 1 shared D. Cremers· 1 shared D. T. Plop· 1 shared J. Meiler· 1 shared J. Mendenhall· 1 shared N. Davoudi· 1 shared R. Moretti· 1 shared V. Golkov· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Becker

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1 paper

Recent·Most cited

Deep Learning for Virtual Screening: Five Reasons to Use ROC Cost Functions

V. Golkov, A. Becker, D. T. Plop, D. Cuturilo, N. Davoudi, J. Mendenhall, R. Moretti, J. Meiler, D. Cremers

This paper argues for using ROC cost functions in deep learning for virtual screening to address class imbalance and decision threshold challenges, showing improved performance on drug discovery datasets.

bioRxiv · Jun 25, 2020 · PreprintPharmacology & Toxicology