Author

Subash Chandra Pakhrin

University of Houston - DowntownORCID 0009-0009-3310-2939Unclaimed 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 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 Jamie Upadhyaya· 1 shared Laurie N. Neuman· 1 shared Moriah Rene BeckiD· 1 shared Neha ChauhaniD· 1 shared Salman KhaniD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

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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

BioinformaticsbioRxivPreprintOct 23, 2023

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

Subash Chandra Pakhrin, Neha Chauhan, Salman Khan…·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.

1 citation

humanprotein sequence

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