Author

Mikel Martínez-Goikoetxea

Max Planck Institute for BiologyORCID 0000-0002-6698-1310Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 3 Research Focus:protein structure prediction· 3 Approach:deep learning· 2 Approach:experimental assay· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Stanisław Dunin-HorkawicziD· 2 shared Andrei N. LupasiD· 1 shared Carolin P Ewers· 1 shared Jan LudwiczakiD· 1 shared Jörg MartiniD· 1 shared Kamil Kaminski· 1 shared M.P. ColesiD· 1 shared Małgorzata OrłowskaiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersMolecular Biology

Stanisław Dunin-HorkawiczORCID

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3 papers

Recent·Most cited

Molecular BiologyProtein SciencePeer-reviewedAug 6, 2026

Conformational diversity in poly-HAMP arrays and its implications for signal transduction

M.P. Coles, Carolin P Ewers, Reinhard Albrecht…·Stanisław Dunin-Horkawicz

The paper investigates conformational diversity in poly-HAMP arrays and shows that axial helix rotation may be a conserved mechanism for signal transduction across different HAMP-containing systems.

DOI 10.1002/pro.70743

protein structurestatistical model

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BioinformaticsProtein SciencePeer-reviewedDec 17, 2024

Applicability of AlphaFold2 in the modeling of dimeric, trimeric, and tetrameric coiled-coil domains

Rafał Madaj, Mikel Martínez-Goikoetxea, Kamil Kaminski…·Stanisław Dunin-Horkawicz

This paper evaluates AlphaFold2's ability to model coiled-coil domains, showing improved prediction of oligomeric states compared to previous methods.

23 citations

protein structuredeep learning

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BioinformaticsBioinformatics AdvancesPeer-reviewedDec 5, 2024

CCfrag: Scanning folding potential of coiled-coil fragments with AlphaFold

Mikel Martínez-Goikoetxea

CCfrag improves coiled-coil structural prediction by fragmenting sequences and using AlphaFold, enhancing accuracy and avoiding spurious models.

3 citations

protein structuredeep learning

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