Author

Aron Schulman

University of Helsinki

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· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Tero A. AittokallioiD· 2 shared Ziaurrehman TanoliiD· 2 shared Huiyan YingiD· 1 shared Jordi MestresiD· 1 shared Juho RousuiD· 1 shared Mirva PääkköneniD· 1 shared Mitro MiihkineniD· 1 shared Nikola PanajotovikjiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersPharmacology & Toxicology

Tero A. AittokallioORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintNov 12, 2025

Off-target mapping enhances selectivity of machine learning-predicted CK2 inhibitors

Huiyan Ying, Weikaixin Kong, Aron Schulman…·Mitro Miihkinen

The paper develops an ML-powered drug discovery pipeline to design selective CK2 inhibitors with favorable off-target profiles, achieving a 90% hit-rate.

DOI 10.1101/2025.11.12.688093

machine learning (classical)drug response / drug discovery

Systems BiologyBioinformaticsPeer-reviewedAug 1, 2024

Attention-based approach to predict drug-target interactions across seven target superfamilies

Aron Schulman, Juho Rousu, Tero A. Aittokallio, Ziaurrehman Tanoli

This paper introduces an attention-based method to predict drug-target interactions across seven superfamilies, achieving high correlation and identifying missing activities in approved drugs.

26 citationstop 3%

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