HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides

Abstract We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukocyte antigens (HLAII) on the surface of antigen presenting cells. HLAIIPred is trained using a Transformer-based neural network and a dataset comprising of HLAII-presented peptides identified...

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Main Authors: Mojtaba Haghighatlari, Nicholas Marze, Robert Seward, Andrew Ciarla, Rachel Hindin, Jennifer Calderini, Benjamin Keenan, Santosh Dhule, Sarah Hall-Swan, Timothy P. Hickling, Eric Bennett, Brajesh Rai, Sophie Tourdot
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-025-08500-2
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https://doi.org/10.1038/s42003-025-08500-2

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