Epitope exposure strategies often fail due to high conformational instability, resulting in loss of native conformation and fast degradation. Protein scaffolding, where a structural element of an antigen protein is transplanted into a scaffold acceptor protein, has been employed as an alternative solution. However, while this approach aims to preserve the epitope structure, it frequently results in unstable chimeric scaffolds. To overcome this issue, we employed a novel computational approach to rationally engineer conformational antigens into a highly stable scaffold protein. This strategy is showcased to display conformational HIV-1 gp41-based epitopes in their native structure. From HIV-1 antigen sequence databases, we have identified short sequences with the most probable antibody-recognizable regions. These sequences were inserted into or replaced regions of the original Top7 protein with analogous secondary structure assignment. Molecular dynamics simulations were used to characterize the protein stability and structural dynamic of the chimeric proteins, leading to a selection of promising candidates whose immunogenic epitopes are suitably exposed for antibody recognition. These computer-designed recombinant proteins were produced in bacteria using codon optimized DNA sequences and their diagnostic performance was assessed by liquid microarray against a human cohort of 47 sera samples. Our results show that the Top7 protein is a suitable scaffold to provide the required structural stability to predetermined target shapes and sequences, allowing the potential use of the chimeric proteins as antigens for specific antibody recognition and/or stimulation of immune response.