Author
Radboud University Medical CenterORCID 0000-0003-1959-1317Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Lucija Malinar, Sanne Broekman, Daniel T. Rademaker…·Hanka Venselaar
This study uses AlphaFold2 to predict viable hybrid domains from exon skipping combinations in USH2A, expanding therapeutic options for Usher syndrome.
Daniel T. Rademaker, Farzaneh M. Parizi, Marieke van Vreeswijk…·Li C. Xue
The paper updates PANDORA to predict bidirectional peptide conformations for MHC class II, achieving low RMSD values for reversed-bound peptides.
Coos A. B. Baakman, Giulia Crocioni, Cunliang Geng…·Li C. Xue
SwiftMHC rapidly predicts peptide-MHC binding and generates 3D structures, outperforming sequence-based methods in speed while maintaining accuracy.
Dario F. Marzella, Giulia Crocioni, Tadija Radusinović…·Li C. Xue
This paper improves MHC-I binding peptide prediction generalizability using geometric deep learning, outperforming sequence-based methods without binding affinity data.
Daniel T. Rademaker, Jarek M. van Dijk, Farzaneh M. Parizi, Li C. Xue
The paper introduces vanGOGH, a geometric deep learning method for protein structural alignment that matches state-of-the-art performance without training on natural homolog pairs.