Author

Jan C. Refsgaard

Novo Nordisk (Denmark)ORCID 0000-0002-2781-0367Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Carsten StahlhutiD· 1 shared Christian T. MadseniD· 1 shared Dennis MadseniD· 1 shared Felix TeufeliD· 1 shared Lars Juhl JenseniD· 1 shared Mads GrønborgiD· 1 shared Marina A. KasimovaiD· 1 shared Ole WintheriD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 22 mutual co-author links

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1 shared paperBioinformatics

Carsten StahlhutORCID

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2 papers

Recent·Most cited

Identifying endogenous peptide receptors bycombining structure and transmembrane topologyprediction

Felix Teufel, Jan C. Refsgaard, Marina A. Kasimova, Christian T. Madsen, Carsten Stahlhut, Mads Grønborg, Ole Winther, Dennis Madsen

The paper uses AlphaFold-Multimer and DeepTMHMM to identify cognate receptors for secreted endogenous peptides by prioritizing interactions with high confidence metrics and filtering biologically implausible ones.

bioRxiv · Oct 28, 2022 · PreprintBioinformatics

Improving peptide-spectrum matching by fragmentation prediction using Hidden Markov Models

Ufuk Kirik, Jan C. Refsgaard, Lars Juhl Jensen

This paper introduces a hidden Markov model to improve peptide-spectrum matching by predicting fragmentation patterns in proteomics.

Journal of Proteome Research · May 10, 2019Peer-reviewedBioinformatics