Author

Tristan Yang

Keck Graduate InstituteORCID 0009-0008-6930-2919Unclaimed 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

Sebastián BassiiD· 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

Sebastián BassiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintDec 5, 2025

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.

DOI 10.64898/2025.12.02.690645

large language modelsoftware / tool

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BioinformaticsbioRxivPreprintOct 30, 2025

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

Karen Paco, Mariana Paco Mendivil, Zihao Zhang…·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.

DOI 10.1101/2025.10.30.685465

mouseproteomics

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