Author

Mads D. Pedersen

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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

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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

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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

BioinformaticsbioRxivPreprintApr 8, 2022

✦ In-depth digest

DeepTMHMM predicts alpha and beta transmembrane proteins using deep neural networks

Jeppe Hallgren, Konstantinos D. Tsirigos, Mads D. Pedersen…·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.

1,528 citations

multiple speciesprotein sequence

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