Author

Lipsa Priyadarsinee

Indraprastha Institute of Information Technology (IIIT) Delhi, India;ORCID 0009-0002-1527-8470Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Organism:multiple species· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Garikapati Narahari SastryiD· 2 shared Anamika Singh GauriD· 1 shared Arul Murugan NatarajaniD· 1 shared Asheesh KumariD· 1 shared Bapi ChatterjeeiD· 1 shared Deeksha JoshiiD· 1 shared Esther JamiriD· 1 shared G. Madhavi Sastry· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Garikapati Narahari SastryORCID

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2 papers

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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BioinformaticsbioRxivPreprintAug 29, 2023

Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): An open access disease specific drug discovery portal

Lipsa Priyadarsinee, Esther Jamir, Selvaraman Nagamani…·G. Narahari Sastry

The paper describes the development of MPDSCOVID-19, a disease-specific web portal for computational drug discovery, with updated modules and tools for COVID-19 research.

1 citation

statistical modelmachine learning (classical)

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