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Daniel T Rademaker

Showing results (1-10 of 8) with videos related to

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Bioinformatics (Oxford, England)|July 20, 2023
GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulationsDaniel T Rademaker, Kevin J van Geemen, Li C Xue
Biomolecules|December 23, 2022
Entropy and Variability: A Second Opinion by Deep LearningDaniel T Rademaker, Li C Xue, Peter A C 't Hoen, et al.
Frontiers in Immunology|April 8, 2025
Predicting reverse-bound peptide conformations in MHC Class II with PANDORADaniel T Rademaker, Farzaneh M Parizi, Marieke van Vreeswijk, et al.
Cell Reports Methods|April 2, 2026
A high-speed attention network for MHC-bound peptide identification and 3D modelingCoos A B Baakman, Giulia Crocioni, Cunliang Geng, et al.
Frontiers in Immunology|May 27, 2022
PANDORA: A Fast, Anchor-Restrained Modelling Protocol for Peptide: MHC ComplexesDario F Marzella, Farzaneh M Parizi, Derek van Tilborg, et al.
Iscience|December 13, 2023
Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cellsDaniel T Rademaker, Joshua J Koopmans, Gwendolyn M S M Thyen, et al.
Communications Biology|July 5, 2025
Author Correction: Geometric deep learning improves generalizability of MHC-bound peptide predictionsDario F Marzella, Giulia Crocioni, Tadija Radusinović, et al.
Communications Biology|December 20, 2024
Geometric deep learning improves generalizability of MHC-bound peptide predictionsDario F Marzella, Giulia Crocioni, Tadija Radusinović, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Bioinformatics (Oxford, England)|July 20, 2023
GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulationsDaniel T Rademaker, Kevin J van Geemen, Li C Xue
Biomolecules|December 23, 2022
Entropy and Variability: A Second Opinion by Deep LearningDaniel T Rademaker, Li C Xue, Peter A C 't Hoen, et al.
Frontiers in Immunology|April 8, 2025
Predicting reverse-bound peptide conformations in MHC Class II with PANDORADaniel T Rademaker, Farzaneh M Parizi, Marieke van Vreeswijk, et al.
Cell Reports Methods|April 2, 2026
A high-speed attention network for MHC-bound peptide identification and 3D modelingCoos A B Baakman, Giulia Crocioni, Cunliang Geng, et al.
Frontiers in Immunology|May 27, 2022
PANDORA: A Fast, Anchor-Restrained Modelling Protocol for Peptide: MHC ComplexesDario F Marzella, Farzaneh M Parizi, Derek van Tilborg, et al.
Iscience|December 13, 2023
Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cellsDaniel T Rademaker, Joshua J Koopmans, Gwendolyn M S M Thyen, et al.
Communications Biology|July 5, 2025
Author Correction: Geometric deep learning improves generalizability of MHC-bound peptide predictionsDario F Marzella, Giulia Crocioni, Tadija Radusinović, et al.
Communications Biology|December 20, 2024
Geometric deep learning improves generalizability of MHC-bound peptide predictionsDario F Marzella, Giulia Crocioni, Tadija Radusinović, et al.
Pageof 1