Author

Sanjay Kumar Phogat

GlaxoSmithKline (Italy)

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· 2

Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Ahmed EssaghiriD· 2 shared Anjana SinghiD· 2 shared Gurpreet SinghiD· 2 shared Nanda Kumar SathiyamoorthyiD· 2 shared Shruthi KapiliD· 2 shared A. Postelnicu· 1 shared Alexandru Ghita· 1 shared Dan Dumitru· 1 shared

Activity by Year

2022-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Ahmed EssaghirORCID

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2 papers

Recent·Most cited

Protein Language Model for Prediction of Subcellular Localization of Protein Sequences from Gram-negative bacteria (ProtLM.SCL)

Gurpreet Singh, Ravi Tyagi, Anjana Singh, Shruthi Kapil, Pratap Kumar Parida, Maria Scarcelli, Dan Dumitru, Nanda Kumar Sathiyamoorthy, Sanjay Kumar Phogat, Ahmed Essaghir

ProtLM.SCL is a protein language model that improves subcellular localization prediction for Gram-negative bacteria proteins, outperforming PSORTb in accuracy and precision.

bioRxiv · Dec 16, 2022 · PreprintBioinformatics

T-cell receptor specific protein language model for prediction and interpretation of epitope binding (ProtLM.TCR)

Ahmed Essaghir, Nanda Kumar Sathiyamoorthy, Paul Smyth, A. Postelnicu, Stefan Ghiviriga, Alexandru Ghita, Anjana Singh, Shruthi Kapil, Sanjay Kumar Phogat, Gurpreet Singh

The paper introduces ProtLM.TCR, a TCR-specific language model for predicting TCR-epitope binding and shows it outperforms BLOSUM scores and hand-crafted embeddings.

bioRxiv · Nov 28, 2022 · PreprintBioinformatics