Published February 6, 2026 | Version v1
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Mapping of Conformational Epitopes on SARS-CoV-2 Antigens Targeted by Monoclonal Antibodies

  • 1. Chulalongkorn University Faculty of Pharmaceutical Sciences
  • 2. ROR icon Chulalongkorn University
  • 3. ROR icon King Chulalongkorn Memorial Hospital

Description

The spike glycoprotein of SARS-CoV-2, particularly its receptor-binding domain (RBD), is a primary target for therapeutic monoclonal antibodies (mAbs). In this study, AlphaFold was used to generate structural models of SARS-CoV-2 spike protein variants to support the interpretation of diethylpyrocarbonate covalent labeling mass spectrometry (DEPC CL-MS) epitope-mapping data.
This Zenodo repository contains AlphaFold-predicted structural models of:
  • the beta (B.1.351) variant RBD, both unbound and in complex with the 1D1 monoclonal antibody,
  • the omicron (B.1.1.529) variant RBD, both unbound and in complex with the 1D1 monoclonal antibody, and
  • the S1 subunit of the SARS-CoV-2 spike protein.
These models were used as computational structural guides to contextualize residue surface accessibility and the spatial clustering of DEPC-modified residues identified experimentally by CL-MS, particularly when variant-specific high-resolution antigen–antibody complex structures were unavailable. The AlphaFold models were not used as primary evidence for epitope assignment; rather, they assisted in visualizing residue positioning and supporting hypothesis-driven interpretation of solution-phase experimental data.
The AlphaFold models deposited here complement DEPC-based epitope-mapping results and are associated with the manuscript:
“Mass Spectrometry-Based Mapping of Conformational Epitopes on SARS-CoV-2 Antigens Targeted by Monoclonal Antibodies” (unpublished).
All structural models were generated using AlphaFold and are provided to promote transparency, reproducibility, and reuse by the scientific community.

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