Author

O. Engkvist

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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Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:microscopy & imaging analysis· 1 Approach:statistical model· 1

Frequent Co-Authors

A. Bender· 1 shared A. Martinsson· 1 shared E. Ahlberg· 1 shared E. Mouchet· 1 shared E. Mullers· 1 shared F. Miljkovic· 1 shared G. Williams· 1 shared H. Chen· 1 shared

Activity by Year

2017-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. Bender

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2 papers

Recent·Most cited

Cell morphological profiling enables high-throughput screening for PROteolysis TArgeting Chimera (PROTAC) phenotypic signature

K. Moreau, M.-A. Trapotsi, E. Mouchet, G. Williams, T. Monteverde, K. Juhani, R. Turkki, F. Miljkovic, A. Martinsson, L. Mervin, E. Mullers, I. Barrett, O. Engkvist, A. Bender

This study uses cell morphological profiling to identify phenotypic signatures of PROTACs, revealing mitotoxicity that cannot be predicted from individual components.

bioRxiv · Jan 17, 2022Pharmacology & Toxicology

Applying Mondrian Cross-Conformal Prediction to Estimate Prediction Confidence on Large Imbalanced Bioactivity Datasets

J. Sun, L. Carlsson, E. Ahlberg, U. Norinder, O. Engkvist, H. Chen

This study applies Mondrian cross-conformal prediction to estimate prediction confidence on large imbalanced bioactivity datasets, showing improved performance for minority classes.

bioRxiv · Mar 16, 2017Pharmacology & Toxicology