Author

Nure Tasnina

Virginia TechORCID 0009-0000-2971-0987Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Pharmacology & Toxicology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Approach:graph neural network· 1 Assay:protein sequence· 1

Frequent Co-Authors

T. M. MuraliiD· 2 shared Maryam HaghaniiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersPharmacology & Toxicology

T. M. MuraliORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintApr 30, 2025

SynVerse: A Framework for Systematic Evaluation of Deep Learning Based Drug Synergy Prediction Models

Nure Tasnina, Maryam Haghani, T. M. Murali

SynVerse evaluates DL models for drug synergy prediction, finding none outperform a naive baseline and highlighting poor generalization to unseen drugs and cell lines.

DOI 10.1101/2025.04.30.651516

deep learningdrug response / drug discovery

𝕏 PostBluesky

Systems BiologyBioinformatics AdvancesPeer-reviewedNov 14, 2024

ICoN: Integration using Co-attention across Biological Networks

Nure Tasnina, T. M. Murali

ICoN integrates multiple protein-protein association networks using co-attention and denoising to improve downstream tasks like gene module detection and protein function prediction.

DOI 10.1093/bioadv/vbae182

protein sequencegraph neural network

𝕏 PostBluesky