Author

Sigal Shaul

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Bioinformatics· 1

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

Frequent Co-Authors

Benjamin P. KellmaniD· 1 shared Bokan BaoiD· 1 shared Daniel BojariD· 1 shared Daniel R. SandovaliD· 1 shared Erick ArmingoliD· 1 shared Frédérique LisacekiD· 1 shared Julien A. MariethoziD· 1 shared Mia Alteri· 1 shared

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2024-2024 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Benjamin P. KellmanORCID

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1 paper

Recent·Most cited

Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network

Benjamin P. Kellman, Julien A. Mariethoz, Yujie Zhang, Sigal Shaul, Mia Alteri, Daniel R. Sandoval, Mia Jeffris, Erick Armingol, Bokan Bao, Frédérique Lisacek, Daniel Bojar, Nathan E. Lewis

The paper trains a hybrid neural network to predict N-glycosylation events and structures from protein sequences using glycosite-flanking data, demonstrating its ability to predict glycan composition and abundance.

bioRxiv · May 15, 2024 · PreprintBioinformatics