Author

Miguel Sánchez-Marín

Utrecht UniversityORCID 0009-0004-8473-266XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

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Approach:machine learning (classical)· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

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Alexandre M. J. J. BonviniD· 1 shared Marco GiuliniiD· 1 shared

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2025-2025 · peak 1/yr

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1 shared paperBioinformatics

Alexandre M. J. J. BonvinORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 1, 2025

Combining AI structure prediction and integrative modelling for nanobody-antigen complexes

Miguel Sánchez-Marín, Marco Giulini, Alexandre M. J. J. Bonvin

This study evaluates machine learning methods for nanobody structure prediction and benchmarks HADDOCK workflows to model nanobody-antigen interactions using AlphaFold2 and ImmuneBuilder predictions.

2 citations

protein structuremachine learning (classical)

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