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Daniel T Rademaker

4PUBLICATIONS

13CO-AUTHORS

Deep learningApplied immunology (incl. antibody engineering, xenotransplantation and t-cell therapies)Computer aided designSequence analysis

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Publications (4)

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|Jul 05, 2025

Author Correction: Geometric deep learning improves generalizability of MHC-bound peptide predictions.

Dario F Marzella, Giulia Crocioni, Tadija Radusinović

|Dec 20, 2024

Geometric deep learning improves generalizability of MHC-bound peptide predictions.

Dario F Marzella, Giulia Crocioni, Tadija Radusinović

|Jul 20, 2023

GradPose: a very fast and memory-efficient gradient descent-based tool for superimposing millions of protein structures from computational simulations.

Daniel T Rademaker, Kevin J van Geemen, Li C Xue

|Dec 23, 2022

Entropy and Variability: A Second Opinion by Deep Learning.

Daniel T Rademaker, Li C Xue, Peter A C 't Hoen

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Frequent Collaborators

3 joint publications

Li C Xue

2 joint publications

Erik Bekkers

2 joint publications

Dario F Marzella

2 joint publications

Giulia Crocioni

2 joint publications

Tadija Radusinović

2 joint publications

Daniil Lepikhov

2 joint publications

Dani L Bodor

2 joint publications

Sonja Georgievska

2 joint publications

Nicolas Renaud

2 joint publications

Amy L Kessler

Frequent Collaborators

3 joint publications

Li C Xue

2 joint publications

Erik Bekkers

2 joint publications

Dario F Marzella

2 joint publications

Giulia Crocioni

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