Author

Bas Stringer

Vrije Universiteit AmsterdamORCID 0000-0001-7792-9385Unclaimed 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:differential expression· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Jaap HeringaiD· 2 shared K. Anton FeenstraiD· 2 shared Reza HaydarlouiD· 2 shared Sanne AbelniD· 2 shared Fuzhong XueiD· 1 shared Hans C. de FerranteiD· 1 shared Henriette CapeliD· 1 shared Katharina WauryiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

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2 shared papersBioinformatics

Jaap HeringaORCID

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2 papers

Recent·Most cited

BioinformaticsBioinformaticsPeer-reviewedFeb 4, 2022

PIPENN: Protein Interface Prediction with an Ensemble of Neural Nets

Bas Stringer, Hans C. de Ferrante, Sanne Abeln…·Reza Haydarlou

The paper introduces an ensemble of deep learning models (PIPENNs) for predicting protein interface residues, showing improved performance over existing methods across different interaction types.

23 citations

protein structuredeep learning

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedApr 26, 2021

SeRenDIP-CE: Sequence-based Interface Prediction for Conformational Epitopes

Qingzhen Hou, Bas Stringer, Katharina Waury…·K. Anton Feenstra

The paper introduces SeRenDIP-CE, a sequence-based method for predicting conformational epitopes, achieving better performance than existing predictors on an antibody-antigen structure.

31 citations

protein sequencestatistical model

𝕏 PostBluesky