Author

Sebastián Bassi

Keck Graduate InstituteORCID 0000-0002-2241-2001Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:large language model· 1 Organism:mouse· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Tristan YangiD· 2 shared Animesh RayiD· 1 shared C. DavilaiD· 1 shared Eva Chen· 1 shared Faisal Bin AshrafiD· 1 shared Fernando Luís Barroso da SilvaiD· 1 shared Ilya TolstorukoviD· 1 shared Isabel Condori Roman· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Tristan YangORCID

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2 papers

Recent·Most cited

gffutilsAI: An AI-Agent for Interactive Genomic Feature Exploration in GFF files

Virginia González, Tristan Yang, Sebastián Bassi

gffutilsAI enables natural-language interaction with GFF files using AI agents, providing tools for querying, analyzing, and exporting genomic annotations.

bioRxiv · Dec 5, 2025 · PreprintBioinformatics

Fine-tuned Protein Language Model Identifies Antigen-specific B Cell Receptors from Immune Repertoires

Karen Paco, Mariana Paco Mendivil, Zihao Zhang, Sanaz Zebardast, C. Davila, R.F. Mooney, Peace O. Olatoyinbo, Tristan Yang, Sebastián Bassi, Virginia Gonzalez, Eva Chen, Faisal Bin Ashraf, Isabel Condori Roman, Jonathan R. Felix, Rashid M. Alam, , Animesh Ray

The paper introduces a protein language model fine-tuned to predict antigen-specific B cell receptors from immune repertoires, showing effectiveness across multiple antigens.

bioRxiv · Oct 30, 2025 · PreprintBioinformatics