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Contents. Influenza BackgroundHow Influenza WorksMolecular DynamicsObjectiveProcedureResultsConclusion. Influenza Background. . The Influenza Problem. ?Flu"Common viral infection of lungsMany different strains which mutate regularlyDifferent levels of virulenceKills roughly half a million people per year.
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1. Molecular Dynamics of the Avian Influenza Virus Team Members: Ashvin Srivatsa, Michael Fu, Ellen Chuang, Ravi Sheth
Team Leader: Yuan Zhang
2. Contents Influenza Background
How Influenza Works
Molecular Dynamics
Objective
Procedure
Results
Conclusion
3. Influenza Background
4. The Influenza Problem Flu
Common viral infection of lungs
Many different strains which mutate regularly
Different levels of virulence
Kills roughly half a million people per year
5. Historical Flu Pandemics 1918 Spanish Flu (H1N1)
500,000 deaths in U.S.
1957 Asian Flu (H2N2)
69,800 deaths in U.S.
1968 Hong Kong Flu (H3N2)
33,800 deaths in U.S.
6. Avian Influenza H5N1
Form of Influenza A Virus
One of the most virulent strains today, spreads only from birds to humans
Similar to human common flu
Mutates frequently, makes it hard to develop countermeasures
If a mutation allows for it to spread from human to human, pandemic would follow
7. How Influenza Works
8. Structure of Bird Flu Virus Protein Coat
Hemagglutinin bonds virus to cell membrane
Neuraminidase helps virus reproduce in cell
Lipid Membrane
RNA
9. Lifecycle of Bird Flu Virus
10. Fusion Peptide Part of Hemagglutinin protein
Binds virus to cell membrane
11. Molecular Dynamics
12. Molecular Dynamics (MD) Involves study of computer simulations that allow molecules and atoms to interact
Extremely complex, based on physics laws
Must be run on powerful supercomputers
13. MD Software Many different types of software solutions exist
We utilized VMD and NAMD
VMD Visual Molecular Dynamics
NAMD2 Not (just) Another Molecular Dynamics program
15. Objective
16. Objective Utilize VMD and NAMD2 to conduct simulations of the influenza fusion peptide being inserted into a lipid membrane on OSCs supercomputer clusters
Determine how various mutations of the fusion peptide affects its ability to penetrate a lipid membrane
17. Procedure
18. Procedure Acquire protein structure files (.pdb) pdb.org
Generate lipid membrane, position protein on membrane
Solvate (immerse in water) the protein
Create batch files that tell supercomputer what to do
19. Procedure (Cont.) Perform an equilibration simulation to equilibrate protein
Execute simulation that pulls protein into membrane
Produce visualization
21. Results
25. Next Step: Mutations Random change in genetic material
Changes amino acid structure in proteins
New strains of influenza arise through random mutations as well as through natural selection
26. Comparison of Amino Sequences
27. Mutation 1 Mutation at the head of the protein
Variants G1V, G1S
(Changes to Valine, Serine)
Changes way each peptide enters the membrane (Li, Han, Lai, Bushweller, Cafisso, Tamm)
30. Analysis The H1N1 maintains a straight structure
G1V, G1S variants bunch up reduce efficiency
Shows that the Glycine is important amino acid on the head
31. Mutation 2 Mutation near bend in peptide
W14A / H3N2
Boomerang structure is critical to peptide (Lai, Park, White, Tamm)
34. Analysis W14A bunches up, after going in half way, comes back out
H1N1 maintains structure
Shows that boomerang or bend is essential
Also could have contributed the success of the 1918 H1N1 outbreak, compared to H3N2
35. Mutation 3 N12G
Affects Boomerang Structure
Chosen by team members (not previously attempted)
38. Analysis N12G bunches up halfway through
Does not insert as much as H1N1
Further proves that proper bend is essential
39. Conclusion
40. Conclusions Boomerang structure of the fusion peptide is essential for proper insertion
Glycine is essential in the head position of the fusion peptide
41. The Bigger Picture The fusion peptide process is a target for drug intervention
Influenza mutates quickly
Deadly implications if H5N1 mutates to spread from human to human
Further research is essential to protect humans from another pandemic
42. Acknowledgements Yuan Zhang
(project leader)
Barbara Woodall
(UNIX)
Elaine Pritchard
(Organization)
Brianna, Daniel
(Dorm Supervisors)
SI Sponsors
Parents
43. Questions?