Back

Structure-based design of soluble prefusion-stabilized herpes simplex virus type 2 glycoprotein B antigens

Sponholtz, M. R.; Ma, D.; Byrne, P. O.; Shu, Y.; Warren, C.; Thambi, N.; McCool, R. S.; Slein, M. D.; Johnson, N. V.; Rose, W. A.; Zhang, L.; Durr, E.; Wang, D.; McLellan, J. S.

2026-01-26 microbiology
10.64898/2026.01.26.701809 bioRxiv
Show abstract

Herpes simplex virus type 2 (HSV-2) causes genital herpes through latent infection and periodic reactivation. Although antivirals alleviate symptoms, no prophylactic or therapeutic vaccines have been licensed. Glycoprotein B (gB) is a class III fusion protein that mediates entry by irreversibly transitioning from a metastable prefusion conformation to a stable postfusion conformation. Leveraging prior structure-based designs for human cytomegalovirus (HCMV) gB, we engineered amino acid substitutions in HSV-2 gB to stabilize its prefusion conformation. Cryo-EM of the engineered construct revealed a prefusion conformation and non-native dimers of gB trimers. Introduction of N-linked glycosylation sites resulted in the gB-G3 variant, which exhibited improved expression and reduced dimerization. Cryo-EM of gB-G3 bound to neutralizing antibodies yielded a 2.8 [A] resolution structure of the stabilized prefusion conformation in a closed state, which differs from the open states observed in recently published HSV gB structures. Both prefusion and postfusion gB variants were evaluated for immunogenicity in mice, delivered either as a protein subunit or mRNA vaccine. Each gB conformation elicited robust humoral and cellular responses. However, prefusion stabilization of gB did not improve neutralizing antibody titers relative to the postfusion construct, consistent with prior observations for HCMV gB. Collectively, these findings reveal insights into prefusion gB conformational dynamics, provide stabilized reagents for studying gB-directed immune responses and inform HSV-2 vaccine design.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"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.