Author

Manashi De

ORCID 0000-0003-4709-3219Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Assay:protein sequence· 1 Approach:statistical model· 1

Frequent Co-Authors

Ekarsi LodhiD· 2 shared Shalini MajumderiD· 2 shared Tapan ChowdhuryiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Ekarsi LodhORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 10, 2026

Protein Language Model-Conditioned Graph Neural Networks for Multitask Ligand Activity Prediction Across Human GPCRs

Manashi De, Ekarsi Lodh, Shalini Majumder, Tapan Chowdhury

The paper develops a graph neural network that combines ligand molecular graphs with protein language model embeddings to predict GPCR ligand activity, showing improved performance over baseline models.

DOI 10.64898/2026.09.27.754816

humanprotein sequence

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BioinformaticsJournal of Computer-Aided Molecular DesignPeer-reviewedJun 6, 2026

NetPolicy-RL: Network-Informed Offline Reinforcement Learning for Pharmacogenomic Drug Prioritization

Ekarsi Lodh, Shalini Majumder, Tapan Chowdhury, Manashi De

NetPolicy-RL improves drug prioritization by integrating network biology with reinforcement learning to optimize ranking quality in pharmacogenomic screens.

1 citation

humanbulk RNA-seq

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