Engineering immunity for next generation HIV vaccines: The intersection of bioengineering and immunology.

Bioengineering approaches grounded in immunology have the potential for the discovery and development of a successful HIV vaccine. The overarching goal is to engineer immunity through a fusion of immunology with bioengineering to create novel strategies for the design, development and delivery of vaccines based on the controlled modulation of the immune system. To foster these collaborations, the National Institute of Allergy and Infectious Diseases (NIAID) and National Institute of Biomedical Imaging and Bioengineering (NIBIB) brought together a group of experts (see Table 1) from these diverse fields for a workshop in September 2018 to: (1) engage the engineering, immunology, and HIV vaccinology communities to dialogue on the topic of an HIV vaccine and; (2) generate a framework of new and innovative research avenues to explore in HIV vaccinology between knowledge stakeholders and problem solvers.

The use of databases, data mining and immunoinformatics in vaccinology: where are we?

INTRODUCTION: Vaccinology has evolved from a sub-discipline focussed on simplistic vaccine development based on antibody-mediated protection to a separate discipline involving epidemiology, host and pathogen biology, immunology, genomics, proteomics, structure biology, protein engineering, chemical biology, and delivery systems. Data mining in combination with bioinformatics has provided a scaffold linking all these disciplines to the design of vaccines and vaccine adjuvants. Areas covered: This review provides background knowledge on immunological aspects which have been exploited with informatics for the in silico analysis of immune responses and the design of vaccine antigens. Furthermore, the article presents various databases and bioinformatics tools, and discusses B and T cell epitope predictions, antigen design, adjuvant research and systems immunology, highlighting some important examples, and challenges for the future. Expert opinion: Informatics and data mining have not only reduced the time required for experimental immunology, but also contributed to the identification and design of novel vaccine candidates and the determination of biomarkers and pathways of vaccine response. However, more experimental data is required for benchmarking immunoinformatic tools. Nevertheless, developments in immunoinformatics and reverse vaccinology, which are nascent fields, are likely to hasten vaccine discovery, although the path to regulatory approval is likely to remain a necessary impediment.