Fredrik Svensson

Computer Science · Physical Sciences

24h-index2.0kcitations131works15.62yr avg
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Research Topics

Computational Drug Discovery Methods(35), Social and Educational Sciences(18), Machine Learning in Materials Science(9), Cholinesterase and Neurodegenerative Diseases(8), Phosphodiesterase function and regulation(8)

Publications129 total

Policies and initiatives to facilitate timely discharge from hospitals: a comparison of six European countries
Health Policy·2026
RTilience: Fault-Tolerant Time-Critical Kubernetes
IEEE Transactions on Services Computing·2025
Computational Hit Finding: An Industry Perspective
Journal of Medicinal Chemistry·2025· 3 cited
A community effort to optimize sequence-based deep learning models of gene regulation
Nature Biotechnology·2024· 25 citedOpen Access
Correction: Psychometric evaluation of the Decision Support System (DSS) for municipal nurses encountering health deterioration among older adults
BMC Geriatrics·2024Open Access
Psychometric evaluation of the Decision Support System (DSS) for municipal nurses encountering health deterioration among older adults
BMC Geriatrics·2024· 1 citedOpen Access
The (Im)possibility of Education: Theory and Method in Paolo Freire’s Pedagogy of the Oppressed and Gayatri Spivak’s Righting Wrongs
Dialogic Pedagogy A Journal for Studies of Dialogic Education·2024· 3 citedOpen Access
Designed switch from covalent to non-covalent inhibitors of carboxylesterase Notum activity
European Journal of Medicinal Chemistry·2023· 9 citedOpen Access
Design of a Potent, Selective, and Brain-Penetrant Inhibitor of Wnt-Deactivating Enzyme Notum by Optimization of a Crystallographic Fragment Hit
Journal of Medicinal Chemistry·2022· 16 citedOpen Access
Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data
Scientific Reports·2022· 11 citedOpen Access
Design of a potent, selective and brain penetrant inhibitor of Wnt-deactivating enzyme Notum by optimization of a crystallographic fragment hit
2022· 1 citedOpen Access
Studying and mitigating the effects of data drifts on ML model performance at the example of chemical toxicity data
Research Square (Research Square)·2022· 1 citedOpen Access
Consideration of predicted small-molecule metabolites in computational toxicology
Digital Discovery·2022· 15 citedOpen Access
Virtual Screening Directly Identifies New Fragment-Sized Inhibitors of Carboxylesterase Notum with Nanomolar Activity
Journal of Medicinal Chemistry·2021· 14 citedOpen Access
Studying and Mitigating the Effects of Data Drifts on ML Model Performance at the Example of Chemical Toxicity Data
Research Square (Research Square)·2021Open Access
Synergy conformal prediction applied to large-scale bioactivity datasets and in federated learning
Journal of Cheminformatics·2021· 6 citedOpen Access
ChemBioSim Recalibration: Twelve Preprocessed ChEMBL Data Sets
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
ChemBioSim Recalibration: Twelve Preprocessed ChEMBL Data Sets
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Structural Insights into Notum Covalent Inhibition
Journal of Medicinal Chemistry·2021· 16 citedOpen Access
Deep Learning-Based Conformal Prediction of Toxicity
Journal of Chemical Information and Modeling·2021· 64 cited
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Frequent Co-authors

Ulf Norinder(11), Andreas Bender(9), Paul V. Fish(9), Christian Sköld(8), Magda Bictash(8), Yuguang Zhao(7), E. Yvonne Jones(7), David Bailey(6), Mats Larhed(6), Benjamin N. Atkinson(6), Nicky J. Willis(6), Amy E. Monaghan(6), Sarah Frew(6), Jonas Sävmarker(5), David Steadman(5), Ola Spjuth(4), Hannah L. Woodward(4), Avid M. Afzal(4), Andrea Volkamer(4), Azedine Zoufir(3)