Author

Mete Mulazimoglu

Translational Genomics Research InstituteORCID 0009-0001-0120-5054Unclaimed 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:protein structure prediction· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:graph neural network· 1 Organism:human· 1 Assay:protein structure· 1 Assay:proteomics· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Cristian TomasettiiD· 2 shared John A. AltiniD· 2 shared Kamel LahoueliD· 2 shared Kameron BatesiD· 2 shared Antoine Goursaud· 1 shared Brandon Neff· 1 shared Ehsan Variani· 1 shared Erin KelleyiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersImmunology

Cristian TomasettiORCID

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2 papers

Recent·Most cited

ImmunologyScience AdvancesPeer-reviewedOct 30, 2026

General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3

Lawson Woods, Brandon Neff, Kamel Lahouel…·John A. Altin

This paper uses AlphaFold 3 to predict T cell receptor antigen specificity from sequence, achieving high accuracy on unseen epitopes.

2 citations

humanproteomics

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BioinformaticsbioRxivPreprintJul 10, 2025

Learned Geometry, Predicted Binding: Structurally-BasedPrediction of Peptide:MHC Binding Using AlphaFold 3 EnablesCD4 T Cell Epitope Prediction

Kamel Lahouel, Mete Mulazimoglu, Jorge Soria‐Bustos…·Cristian Tomasetti

The paper introduces MHCIIFold-GNN, a method combining structural modeling and graph neural networks to predict CD4 T cell epitopes, achieving state-of-the-art performance.

1 citation

protein structuregraph neural network

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