Author

Mads D. Pedersen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Organism:multiple species· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Research Focus:software / tool· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Anders KroghiD· 1 shared Henrik NielseniD· 1 shared Jeppe HallgreniD· 1 shared José Juan Almagro ArmenterosiD· 1 shared Konstantinos D. TsirigosiD· 1 shared Ole WintheriD· 1 shared Paolo MarcatiliiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

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7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Anders KroghORCID

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1 paper

Recent·Most cited

DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks

Jeppe Hallgren, Konstantinos D. Tsirigos, Mads D. Pedersen, José Juan Almagro Armenteros, Paolo Marcatili, Henrik Nielsen, Anders Krogh, Ole Winther

Combining an ESM-1b encoder with a conditional random field decoder, DeepTMHMM classifies alpha-helical and beta-barrel transmembrane proteins and their topology, outperforming most compared tools, including on signal-peptide cleavage sites.

bioRxiv · Apr 8, 2022 · PreprintBioinformatics✦ In-depth digest