Author

Jamie Upadhyaya

University of Houston - Downtown

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

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Research Focus:protein design· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Charles Keller· 1 shared Eduardo Blanco· 1 shared Laurie N. Neuman· 1 shared Moriah Rene BeckiD· 1 shared Neha ChauhaniD· 1 shared Salman KhaniD· 1 shared Subash Chandra PakhriniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

Charles Keller

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1 paper

Recent·Most cited

Human O-linked Glycosylation Site Prediction Using Pretrained Protein Language Model

Subash Chandra Pakhrin, Neha Chauhan, Salman Khan, Jamie Upadhyaya, Charles Keller, Laurie N. Neuman, Moriah Rene Beck, Eduardo Blanco

The paper introduces OglyPred-PLM, a model using ProtT5-XL-UniRef50 embeddings to predict human O-linked glycosylation sites, outperforming existing methods on a benchmark dataset.

bioRxiv · Oct 23, 2023 · PreprintBioinformatics