Author

Nina Poerner

Ludwig-Maximilians-Universität MünchenORCID 0000-0002-1292-7052Unclaimed 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

Frequent Co-Authors

Alice Carolyn McHardyiD· 1 shared Ehsaneddin AsgariiD· 1 shared Mohammad R. K. MofradiD· 1 shared

Activity by Year

2019-2019 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Alice Carolyn McHardyORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintJul 18, 2019

DeepPrime2Sec: Deep Learning for Protein Secondary Structure Prediction from the Primary Sequences

Ehsaneddin Asgari, Nina Poerner, Alice Carolyn McHardy, Mohammad R. K. Mofrad

This study develops a deep learning model for protein secondary structure prediction using primary sequences, achieving high accuracy on a challenging dataset.

26 citations

protein sequencedeep learning

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