Author

Florian Matthes

Technical University of MunichORCID 0000-0002-6667-5452Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1

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Ahmed ElnaggariD· 1 shared Burkhard RostiD· 1 shared Christian DallagoiD· 1 shared Dmitrii Nechaev· 1 shared Michael HeinzingeriD· 1 shared Yu WangiD· 1 shared

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2019-2019 · peak 1/yr

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1 shared paperBioinformatics

Ahmed ElnaggarORCID

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1 paper

Recent·Most cited

BioinformaticsBMC BioinformaticsPeer-reviewedDec 1, 2019

Modeling the Language of Life - Deep Learning Protein Sequences

Michael Heinzinger, Ahmed Elnaggar, Yu Wang…·Burkhard Rost

This paper introduces SeqVec, a method to represent protein sequences as continuous vectors using deep learning, achieving better prediction results than methods relying on evolutionary information.

606 citationstop 1%

protein sequencedeep learning

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