Author

Prbhuv Nigam

North Carolina School of Science and MathematicsORCID 0009-0003-2918-6363Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:diffusion model· 1 Research Focus:drug response / drug discovery· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Colby T. FordiD· 2 shared Nicholas SantollaiD· 2 shared Seth RabinowitziD· 1 shared Trey PridgeniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 5 mutual co-author links

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2 shared papersSynthetic Biology

Colby T. FordORCID

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2 papers

Recent·Most cited

Synthetic BiologybioRxivPreprintAug 4, 2026

Kukulu: Diffusion-Based Reconstruction of Antibody CDR Loops using a Structure-Aware Joint Embedding Predictive Architecture

Seth Rabinowitz, Prbhuv Nigam, Nicholas Santolla, Colby T. Ford

Kukulu reconstructs antibody CDR loops using a diffusion model with a structure-aware architecture, improving loop design by integrating sequence-structure constraints.

DOI 10.64898/2026.08.03.742168

protein structurediffusion model

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ImmunologybioRxivPreprintOct 16, 2025

peleke-1: A Suite of Protein Language Models Fine-Tuned for Targeted Antibody Sequence Generation

Nicholas Santolla, Trey Pridgen, Prbhuv Nigam, Colby T. Ford

This paper introduces peleke-1, a suite of protein language models fine-tuned for generating targeted antibody sequences from antigen inputs.

1 citation

protein sequencedeep learning

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