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Balloon-based mutagenesis & protein folding Balloon-based mutagenesis & protein folding

Balloon-based mutagenesis & protein folding - PowerPoint Presentation

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Uploaded On 2023-07-19

Balloon-based mutagenesis & protein folding - PPT Presentation

Deborah L Crittenden Why proteins Molecular machinery of life eg ATP synthase enzyme dualaction molecular motor ion pump chemical factory The protein structure problem Human proteome ID: 1009588

native ballooning protein 000 ballooning native 000 protein predicting solution energy conformerslowest trypsin overgrowing inhibitor study affected case interaction

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1. Balloon-based mutagenesis & protein foldingDeborah L. Crittenden

2. Why proteins?Molecular machinery of life e.g. ATP synthase:enzymedual-action molecular motorion pumpchemical factory

3. The protein structure problemHuman proteome: ~ 1,000,000 proteinsSolved structures: ~ 8,000 since 1972 ~ 1,000 per year for last 3 years

4. Computational solutionsDe novo protein folding‘brute force’‘crowd sourcing’Template-basedhomology modellingprotein threading

5. A new approachGradual change is good

6. Ballooning

7. Ballooning

8. Ballooning

9. Ballooningx

10. Ballooning

11. Ballooning

12. Ballooning

13. Ballooning

14. Ballooning

15. TechnicalitiesStepwise scaling of:bond lengthselectrostatic interaction energyEnergy minimizationAmoebaPro polarizable force field Tinker MM packageNumber of steps ∝ size of residue

16. ConsiderationsSidechain/whole residue replacementRotamersSolvationCounterionsMinimise vs optimise?

17. Case study: Trypsin inhibitor

18. Case study: Trypsin inhibitor

19. And the winner is: # 4

20. Predicting native conformersLowest energy solution?

21. Predicting native conformersLowest energy solution?Least affected by overgrowing?

22. Predicting native conformersLowest energy solution?Least affected by overgrowing?ΔΕ = Eovergrow - Egrow

23. Predicting native conformersΔEcut = _ natom 2Difference Metric (D) = σΔΕ natomTrust Number (T) = 1/D

24. Native conformer identificationFor a set of 30 small-to-large mutations

25. Looking forwardInsertion/deletion mutationsLoop insertion/deletionsMultiple mutationsBalloon-based protein foldingNew solvation models

26. AcknowledgmentsMichael O’DonnellBiomolecular Interaction CentreSummer Studentship Scheme, University of Canterbury