Author

Anh Q Le

Leiden University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Assay:protein structure· 1 Approach:statistical model· 1 Organism:zebrafish· 1

Frequent Co-Authors

Daniel T. RademakeriD· 1 shared Erik de VriezeiD· 1 shared Erwin van WijkiD· 1 shared Hanka VenselaariD· 1 shared Lucija MalinariD· 1 shared Peter A. C. 't HoeniD· 1 shared Sanne BroekmaniD· 1 shared Theo A. PetersiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperBioinformatics

Daniel T. RademakerORCID

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1 paper

Recent·Most cited

Expanding the options for therapeutic exon skipping as a future treatment for USH2A-associated disease by 3D structural modeling of newly formed hybrid domains

Lucija Malinar, Sanne Broekman, Daniel T. Rademaker, Anh Q Le, Theo A. Peters, Erik de Vrieze, Peter A. C. 't Hoen, Erwin van Wijk, Hanka Venselaar

This study uses AlphaFold2 to predict viable hybrid domains from exon skipping combinations in USH2A, expanding therapeutic options for Usher syndrome.

bioRxiv · Apr 28, 2026 · PreprintBioinformatics