Author

Daniel Szelogowski

University of Wisconsin–Green BayORCID 0000-0002-0350-5771Unclaimed 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 Approach:transformer / foundation model· 1

Activity by Year

2023-2023 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintApr 26, 2023

Deep Learning for Protein Structure Prediction: Advancements in Structural Bioinformatics

Daniel Szelogowski

This paper introduces ProteiNN, a Transformer-based model for protein structure prediction, showing effectiveness in secondary structure prediction but needing improvement for tertiary structures.

5 citations

protein sequencedeep learning

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