Structural basis for HCMV Pentamer recognition by antibodies and neuropilin 2
Wrapp, D.; Ye, X.; Ku, Z.; Su, H.; Jones, H. G.; Wang, N.; Mishra, A. K.; Freed, D. C.; Li, F.; Tang, A.; Li, L.; Jaijyan, D. K.; Zhu, H.; Wang, D.; Fu, T.-M.; Zhang, N.; An, Z.; McLellan, J. S.
Show abstract
Human cytomegalovirus (HCMV) encodes for multiple surface glycoproteins and glycoprotein complexes1, 2. One of these complexes, the HCMV Pentamer (gH, gL, UL128, UL130 and UL131), mediates tropism to both epithelial and endothelial cells by interacting with the cell surface receptor neuropilin 2 (NRP2)3, 4. Despite the critical nature of this interaction, the molecular determinants that govern NRP2 recognition remain unclear. Here we describe the cryo-EM structure of NRP2 bound to the HCMV Pentamer. The high-affinity interaction between these proteins is calcium-dependent and differs from the canonical C-terminal arginine (CendR) binding that NRP2 typically utilizes5, 6. The interaction is primarily mediated by NRP2 domains a2 and b2, which interact with UL128 and UL131. We also determine the structures of four human-derived neutralizing antibodies in complex with the HCMV Pentamer to define susceptible epitopes. The two most potent antibodies recognize a novel epitope yet do not compete with NRP2 binding. Collectively, these findings provide a structural basis for HCMV tropism and antibody-mediated neutralization, and serve as a guide for the development of HCMV treatments and vaccines.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Structural and Functional Insights into the Evolution of SARS-CoV-2 KP.3.1.1 Spike Protein 97%
- Crimean-Congo Hemorrhagic Fever Survivors Elicit Protective Non-Neutralizing Antibodies that Target 11 Overlapping Regions on Viral Glycoprotein GP38 97%
- Transient glycan-shield reduction induces CD4-binding site broadly neutralizing antibodies in SHIV-infected macaques 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.