Author

S. Molander

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Biology Disciplines

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Pharmacology & Toxicology· 1

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

Frequent Co-Authors

E. Kristiansson· 1 shared J. Coria· 1 shared J. S. Inda-Diaz· 1 shared M. Gustavsson· 1 shared P. Svedberg· 1 shared S. Kall· 1 shared T. Backhaus· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperPharmacology & Toxicology

E. Kristiansson

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1 paper

Recent·Most cited

Transformers enable accurate prediction of acute and chronic chemical toxicity in aquatic organisms

M. Gustavsson, S. Kall, P. Svedberg, J. S. Inda-Diaz, S. Molander, J. Coria, T. Backhaus, E. Kristiansson

This paper develops a transformer-based model to predict chemical toxicity in aquatic organisms, achieving high accuracy and broader applicability than traditional QSAR methods.

bioRxiv · Apr 17, 2023Pharmacology & Toxicology