Nec corporation (20240161872). METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN simplified abstract
Contents
- 1 METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN
Organization Name
Inventor(s)
Brandon Malone of Heidelberg (DE)
METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240161872 titled 'METHOD AND SYSTEM FOR OPTIMAL VACCINE DESIGN
Simplified Explanation
The computer-implemented method described in the abstract involves selecting amino acid sequences for inclusion in a vaccine based on their immune profile response values. Here is a simplified explanation of the patent application:
- Identifying immune profile response values for candidate amino acid sequences
- Retrieving immune profiles for a population
- Generating representative immune profiles that overlap with sample components of the immune profiles
- Selecting amino acid sequences for the vaccine that minimize the likelihood of no immune response for each representative immune profile
Potential Applications
This technology could be applied in the development of vaccines for various diseases by selecting the most immunogenic amino acid sequences.
Problems Solved
This technology helps in optimizing vaccine design by selecting the most effective amino acid sequences based on immune profile response values.
Benefits
The benefits of this technology include improved vaccine efficacy and potentially faster vaccine development processes.
Potential Commercial Applications
A potential commercial application of this technology could be in the pharmaceutical industry for the development of novel vaccines with enhanced immunogenicity.
Possible Prior Art
One possible prior art for this technology could be the use of computational methods to predict immunogenic epitopes for vaccine development.
What are the limitations of this technology in predicting immune responses accurately?
The accuracy of predicting immune responses may be limited by the complexity of the immune system and variations in individual immune profiles.
How can this technology be adapted for personalized medicine applications?
This technology could potentially be adapted for personalized medicine by incorporating individual immune profile data to tailor vaccines for specific patient populations.
Original Abstract Submitted
a computer-implemented method of selecting one or more amino acid sequences for inclusion in a vaccine from a set of predicted immunogenic candidate amino acid sequences includes identifying an immune profile response value for each candidate amino acid sequence with respect to each one of a plurality of sample components of an immune profile. the immune profile response value represents whether the respective candidate amino acid sequence results in an immune response for the sample components of the immune profile. a plurality of immune profiles are retrieved for a population. a plurality of representative immune profiles are generated for the population. the representative immune profiles overlap with the sample components of the immune profiles. the one or more amino acid sequences for inclusion in the vaccine that minimises a likelihood of no immune response for each representative immune profile, based on the immune profile response values, are selected.
