School: National Experimental High School at Central Taiwan Science Park Teacher: Yu Jen Hu Author: Wang Han-Lin, Lin Yi- Chieh The Mathematical Method for Influenza Viral Antibody Design
Jan 21, 2016
School: National Experimental High School at Central Taiwan Science Park Teacher: Yu Jen HuAuthor: Wang Han-Lin, Lin Yi-Chieh
The Mathematical Method for Influenza Viral Antibody Design
Conventional R&D process of antibody
Human flu symptoms
Introduction
The different types of Influenza A virus
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The mathematical method
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MethodsProbability of mutation from MLE (P)
Put P into Jukes and Cantor distance model to create a species similarity matrix
With the matrix, draw a phylogenetic tree and an rootless tree via N-J Method, and estimate the most likely sequence
Conduct dynamic programming on the most likely sequence to find out the possible difference point
Take the possible difference point as monoclonal and Variability sections of initial sequence to reduce
the uncertainty of antibody development
Experimental results indicate the feasibility study.
• First, we calculated the base sequence similarity matrix for 14 influenza A subtype with MLE and Jukes and Cantor branching distance formula.
• And then add in neighbor-joining to conduct secondary analysis.
• Then, we found the phylogenetic tree and rootless tree.
• The last, we use N-W dynamic programming algorithm method to compare different sequences of influenza A subtypes.
Protocol
Jukes-Cantor distance formula
14 antibodies against influenza A subtype viruses nucleotide sequence similarity distance matrix.
Results
The phylogenetic tree
The rootless tree
We first used a proposed methodology improved the traditional antibody R&D process.
Through the sequence comparison calculations, we speed up to identify viral sequences specific section to reduce the blind test experiment.
By influenza A subtype viruses are known gene sequenceanalyze the evolution of the relationship between unknowninfluenza A subtype virus to design unknown influenza Asubtype virus vaccine.
Conclusion
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Thanks for your attention
Acknowledgments: We wish to express their gratitude to Prof. Chou Kuan-Chi and Dr. Wang Shulhn-Der for critical discussion of the experimental protocols. This work was supported by grants from the National Science Council, Taiwan (NSC 101-2514-S-796-001).