Towards conformational fidelity of a quaternary HIV-1 epitope: computational design and directed evolution of a minimal V1V2 antigen. Issue 4 (12th June 2018)

• Record Type: Journal Article
• Authors: Lai, Jennifer I; Verma, Deeptak; Bailey-Kellogg, Chris; Ackerman, Margaret E
• Is Part Of: Protein engineering, design & selection. Volume 31:Issue 4(2018)
• Page Start: 121
• Page End: 133
• Publication Date: 2018-06-12
• Subjects: computational protein design -- directed evolution -- epitope-focusing -- HIV-1 -- structure-based vaccine design; Protein engineering -- Periodicals; 660.63
• DOI: 10.1093/protein/gzy010
• Languages: English
• ISSNs: 1741-0126

Abstract

Abstract: Structure-based approaches to antigen design utilize insights from antibody (Ab):antigen interactions and a refined understanding of protective Ab responses to engineer novel antigens presenting epitopes with conformations relevant to eliciting or discovering protective humoral responses. For human immunodeficiency virus-1 (HIV-1), one model of protection is provided by broadly neutralizing Abs (bnAbs) against epitopes present in the closed prefusion trimeric conformation of HIV-1 envelope glycoprotein, such as the variable loops 1–2 (V1V2) apex. Here, computational design and directed evolution yielded a novel V1V2 sequence variant with potential utility for inclusion in an immunogen for eliciting bnAbs, or as an epitope probe for their detection. The computational design goal was to engineer a minimal single-chain antigen with three copies of the V1V2 loops to support maintenance of closed prefusion V1V2 trimeric conformation and presentation of bnAb epitopes. Via directed evolution of this computationally designed single-chain antigen, we isolated a V1V2 sequence variant that in monomeric form exhibited preferential recognition by quaternary-preferring and conformation-dependent mAbs. Structural context and transferability of this phenotype to V1V2 sequences from all strains of HIV-1 tested suggest a conformation-stabilizing effect. This example demonstrates the potential utility of computational design and directed evolution-based protein engineering strategies to develop minimal, conformation-stabilized epitope-specific antigens.