Author

Pranay Vure

Duke University

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 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:protein sequence· 2 Approach:contrastive learning· 1 Approach:diffusion model· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Pranam ChatterjeeiD· 3 shared Rishab PulugurtaiD· 3 shared Kseniia Kholina· 1 shared Leo Tianlai Chen· 1 shared Shrey Goel· 1 shared Sophia VincoffiD· 1 shared Tianlai CheniD· 1 shared

Activity by Year

2024-2025 · peak 2/yr

Co-Author Collaboration Network

7 top collaborators · 14 mutual co-author links

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3 shared papersBioinformatics

Pranam ChatterjeeORCID

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3 papers

Recent·Most cited

DPAC: Prediction and Design of Protein-DNA Interactions via Sequence-Based Contrastive Learning

Leo Tianlai Chen, Rishab Pulugurta, Pranay Vure, Pranam Chatterjee

DPAC predicts and designs protein-DNA interactions using sequence-based contrastive learning, outperforming structure-based methods in speed and accuracy.

bioRxiv · May 14, 2025 · PreprintBioengineering

FusOn-pLM: A Fusion Oncoprotein-Specific Language Model via Focused Probabilistic Masking

Sophia Vincoff, Shrey Goel, Kseniia Kholina, Rishab Pulugurta, Pranay Vure, Pranam Chatterjee

This paper introduces FusOn-pLM, a protein language model fine-tuned on fusion oncoprotein sequences using a novel masked language modeling strategy, improving performance on specific benchmarks and disorder prediction tasks.

bioRxiv · Jun 3, 2024 · PreprintBioinformatics

AMP-Diffusion: Integrating Latent Diffusion with Protein Language Models for Antimicrobial Peptide Generation

Tianlai Chen, Pranay Vure, Rishab Pulugurta, Pranam Chatterjee

AMP-Diffusion generates functional antimicrobial peptides using a latent diffusion model integrated with the ESM-2 protein language model, showing alignment with experimentally validated AMPs in pseudo-perplexity and physicochemical properties.

bioRxiv · Mar 3, 2024 · PreprintBioinformatics