Europe PMC
open access
CC BY-NC-ND 4.0
NetMHCIIphosPan: a machine learning tool for predicting HLA class II antigen presentation of phosphorylated peptides
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Improving Sample Efficiency in Peptide-HLA Binding Prediction with Hybrid Quantum-Classical Neural Networks#1014231
- Identification and Validation of Mannose Metabolism-Related Biomarkers in COPD Through Integrated Bioinformatics and Machine Learning Analysis: A Pilot Study.#457379
- Antigen anisotropy: The overlooked geometric determinant of vaccine immunogenicity and fidelity#4585
- Control of antigen cross-presentation through selective engagement of the mannose receptor#632061
- Asociación del HLA Clase II con la Hepatitis Autoinmune en Latinoamérica: Meta-análisis#1168711
Record · ID 300705
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive