Author

Sven Hellberg

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

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Research Focus:drug response / drug discovery· 2 Organism:human· 2 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Urban FagerholmiD· 2 shared Jonathan AlvarssoniD· 1 shared Morgan Ekmefjord· 1 shared Ola SpjuthiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersPharmacology & Toxicology

Urban FagerholmORCID

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2 papers

Recent·Most cited

Human ADME/PK is lost in translation and prediction from in silico to in vitro to in vivo

Urban Fagerholm, Sven Hellberg

The paper evaluates the accuracy of in silico, in vitro, and in vivo ADME/PK predictions for drug discovery, finding poor performance and highlighting the superiority of the ANDROMEDA software.

bioRxiv · Feb 17, 2025 · PreprintPharmacology & Toxicology

Comparing Lipinskis Rule of 5 and Machine Learning Based Prediction of Fraction Absorbed for Assessing Oral Absorption in Humans

Urban Fagerholm, Sven Hellberg, Jonathan Alvarsson, Morgan Ekmefjord, Ola Spjuth

This paper compares Lipinski's Rule of 5 and machine learning predictions of fraction absorbed to assess oral absorption in humans, finding machine learning models more accurate.

bioRxiv · Aug 20, 2024 · PreprintPharmacology & Toxicology