Author

J. Vielhaben

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Immunology· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:host-pathogen & immune response· 1 Assay:proteomics· 1 Approach:statistical model· 1

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M. Wenzel· 1 shared N. Strodthoff· 1 shared W. Samek· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperImmunology

M. Wenzel

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1 paper

Recent·Most cited

ImmunologybioRxivOct 24, 2019

USMPep: Universal Sequence Models for Major Histocompatibility Complex Binding Affinity Prediction

J. Vielhaben, M. Wenzel, W. Samek, N. Strodthoff

USMPep is a simple recurrent neural network that achieves state-of-the-art MHC class I binding prediction with a single architecture and hyperparameters, and shows solid performance for MHC class II despite limited data.

DOI 10.1186/s12859-020-03631-1

proteomicsdeep learning

𝕏 PostBluesky