Author

T. Fehér

Nvidia (United States)ORCID 0000-0003-2095-4349Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:protein design· 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 Christoph M. Angerer· 1 shared Debsindhu BhowmikiD· 1 shared Ghalia RehawiiD· 1 shared Llion Jones· 1 shared Martin SteineggeriD· 1 shared

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2021-2021 · peak 1/yr

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1 shared paperBioinformatics

Ahmed ElnaggarORCID

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1 paper

Recent·Most cited

BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligencePeer-reviewedJul 7, 2021

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

Ahmed Elnaggar, Michael Heinzinger, Christian Dallago…·Burkhard Rost

This paper trains and evaluates language models on protein sequences to predict structural and localization features, achieving state-of-the-art results without evolutionary information.

2,337 citationstop 1%

protein sequencedeep learning

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