Vaccines prevent infectious disease largely by inducing protective neutralizing antibodies against vulnerable epitopes. Several major pathogens have resisted traditional vaccine development, although vulnerable epitopes targeted by neutralizing antibodies have been identified for several such cases. Hence, new vaccine design methods to induce epitope-specific neutralizing antibodies are needed. Here we show, with a neutralization epitope from respiratory syncytial virus, that computational protein design can generate small, thermally and conformationally stable protein scaffolds that accurately mimic the viral epitope structure and induce potent neutralizing antibodies. These scaffolds represent promising leads for the research and development of a human respiratory syncytial virus vaccine needed to protect infants, young children and the elderly. More generally, the results provide proof of principle for epitope-focused and scaffold-based vaccine design, and encourage the evaluation and further development of these strategies for a variety of other vaccine targets, including antigenically highly variable pathogens such as human immunodeficiency virus and influenza. Computational protein design methods are used to generate new candidates for a human respiratory syncytial virus (RSV) vaccine; artificial protein scaffolds that mimic the structure of a RSV epitope are shown to induce RSV-specific neutralizing antibodies in macaques. William Schief and colleagues explore computational protein design methods to generate novel candidates for a human respiratory syncytial virus (RSV) vaccine. Artificial protein scaffolds that mimic the structure of an RSV epitope or antigenic determinant are shown to induce RSV-neutralizing antibodies in macaques. The protein design method used here, that builds a protein around a functional motif in order to stabilize the conformation of that motif, could have broad application in vaccine development.