Author

Deeksha Joshi

Indraprastha Institute of Information Technology Delhi;ORCID 0009-0001-3818-2386Unclaimed 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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Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:multiple species· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Arul Murugan NatarajaniD· 1 shared Bapi ChatterjeeiD· 1 shared Garikapati Narahari SastryiD· 1 shared Lipsa PriyadarsineeiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Arul Murugan NatarajanORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 3, 2026

FedEpitope: Parameter-Efficient Federated Protein Language Models for Linear B-Cell Epitope Prediction

Deeksha Joshi, Lipsa Priyadarsinee, Bapi Chatterjee…·Garikapati Narahari Sastry

FedEpitope uses federated learning with LoRA to predict linear B-cell epitopes without centralizing data, achieving good performance across multiple clients.

DOI 10.64898/2026.10.31.763304

multiple speciesproteomics

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