Author

Ulf Norinder

Stockholm UniversityORCID 0000-0003-3107-331XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anh‐Tien ToniD· 1 shared Artem R CherkasoviD· 1 shared Ernst AhlbergiD· 1 shared Francesco GentileiD· 1 shared Fuqiang BaniD· 1 shared Jonathan AlvarssoniD· 1 shared Lars CarlssoniD· 1 shared Martin Edwin GleaveiD· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anh‐Tien TonORCID

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2 papers

Recent·Most cited

CPSign - Conformal Prediction for Cheminformatics Modeling

Staffan Arvidsson, Ulf Norinder, Jonathan Alvarsson, Ernst Ahlberg, Lars Carlsson, Ola Spjuth

CPSign provides a conformal prediction framework for cheminformatics, offering robust predictive performance with efficient runtime and lower hardware requirements compared to neural networks.

Journal of Cheminformatics · Jun 28, 2024Peer-reviewedBioinformatics

Deep Docking - a Deep Learning Approach for Virtual Screening of Big Chemical Datasets

Francesco Gentile, Vibudh Agrawal, Michael Hsing, Anh‐Tien Ton, Fuqiang Ban, Ulf Norinder, Martin Edwin Gleave, Artem R Cherkasov

The paper introduces Deep Docking (D2), a deep learning method for virtual screening of large chemical datasets, achieving significant data reduction and enrichment of top hits.

ACS Central Science · May 19, 2020Peer-reviewedBioinformatics