AI Article Synopsis
- Structure-based vaccine design (SBVD) leverages structural data of proteins to create new vaccine candidates, enhancing the speed of vaccine discovery.
- The chapter reviews the progress in in silico SBVD, highlighting various challenges and limitations faced in the current research landscape.
- It includes a specific case study on the development of COVID-19 vaccines aimed at the SARS-CoV-2 spike protein, showcasing key strategies in SBVD.
Article Abstract
Structure-based vaccine design (SBVD) is an important technique in computational vaccine design that uses structural information on a targeted protein to design novel vaccine candidates. This increasing ability to rapidly model structural information on proteins and antibodies has provided the scientific community with many new vaccine targets and novel opportunities for future vaccine discovery. This chapter provides a comprehensive overview of the status of in silico SBVD and discusses the current challenges and limitations. Key strategies in the field of SBVD are exemplified by a case study on design of COVID-19 vaccines targeting SARS-CoV-2 spike protein.
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| http://dx.doi.org/10.1007/978-1-0716-3239-0_26 | DOI Listing |
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