Author

Martin Smieško

SIB Swiss Institute of BioinformaticsORCID 0000-0003-2758-2680Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Manuel S. SellneriD· 2 shared Markus A. LilliD· 2 shared Alex OdermattiD· 1 shared Friedrich L. JoosiD· 1 shared

Activity by Year

2023-2023 · peak 2/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersBioinformatics

Manuel S. SellnerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 16, 2023

PanScreen: A Comprehensive Approach to Off-Target Liability Assessment

Manuel S. Sellner, Friedrich L. Joos, Alex Odermatt…·Martin Smieško

PanScreen assesses off-target liabilities of small molecules using structure-based modeling and deep learning, offering accurate predictions and insights into potential modes of action.

DOI 10.1101/2023.11.16.567496

humandeep learning

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BioinformaticsbioRxivPreprintNov 13, 2023

Quality Matters: Deep Learning-Based Analysis of Protein-Ligand Interactions with Focus on Avoiding Bias

Manuel S. Sellner, Markus A. Lill, Martin Smieško

This paper evaluates dataset quality and splitting techniques for predicting protein-ligand binding affinities, introducing a tool (po-sco) and showing improved model performance with better data practices.

3 citations

protein structuredeep learning

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