Author

Daniel Marrama

La Jolla Institute for ImmunologyORCID 0000-0001-5821-6857Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Alessandro SetteiD· 2 shared Bjoern PetersiD· 2 shared Blake Harlan· 1 shared Cecilia S. Lindestam ArlehamniD· 1 shared Ehdieh KhaledianiD· 1 shared Eve RichardsoniD· 1 shared Hannah BatteyiD· 1 shared Jason BennettiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Alessandro SetteORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 9, 2026

Curation at Scale with EPITOME: Extraction Pipeline for Immunological Texts and Open-Source Multimodal Enquiry

Eve Richardson, Parker Lischwe, Jason Bennett…·Bjoern Peters

EPITOME is a multimodal pipeline that combines OCR, text matching, and VLMs to automate and enhance epitope data curation from scientific papers.

DOI 10.64898/2026.01.08.698331

deep learningtransformer / foundation model

𝕏 PostBluesky

ImmunologybioRxivPreprintOct 25, 2024

Predicting Immunogenic CD4+ T Cell Epitopes in Bacteria Using Antigen and Peptide Features

Daniel Marrama, Hannah Battey, Ehdieh Khaledian…·Bjoern Peters

This paper develops a machine learning model that integrates peptide and antigen features to predict immunogenic CD4+ T cell epitopes in bacteria, achieving high accuracy across multiple bacterial species.

DOI 10.1101/2024.10.25.620357

humanproteomics

𝕏 PostBluesky