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An Integrated Approach to Protein-Protein Docking

An Integrated Approach to Protein-Protein Docking. Zhiping Weng Department of Biomedical Engineering Bioinformatics Program Boston University. L. L. R. R. What is Protein Docking?.

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An Integrated Approach to Protein-Protein Docking

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  1. An Integrated Approach to Protein-Protein Docking Zhiping Weng Department of Biomedical Engineering Bioinformatics Program Boston University

  2. L L R R What is Protein Docking? Protein docking is the computational determination of protein complex structure from individual protein structures.

  3. Motivation • Biological activity depends on the specific recognition of proteins. • Understand protein interaction networks in a cell • Yield insight to thermodynamics of molecular recognition • The experimental determination of protein-protein complex structures remains difficult.

  4. Ubiquitination

  5. Experimental Tools for Studying Protein-Protein Interactions • 3-D structures of protein-protein complexes: X-ray crystallography & NMR • Binding affinity between two proteins: SPR, titration assays • Mutagenesis and its affect on binding • Yeast 2-hybrid system • Protein Chips?

  6. Computational Tools for Studying Protein-Protein Interactions • Protein docking • Binding affinity calculation • Analysis of site-specific mutation experiments • Protein design • The kinetics of protein-protein interactions

  7. water L L L L L L L R R R L R R R Protein-Protein Interaction Thermodynamics

  8. L L L L R R L R R R The Lowest Binding Free Energy DG water

  9. General Derivations

  10. Two kinds of docking problems • Bound docking The complex structure is known. The receptor and the ligand in the complex are pulled apart and reassembled. • Unbound docking Individually determined protein structures are used.

  11. Challenges • Large search space • Imperfect understanding of thermodynamics • Protein flexibility • Heterogeneities in protein interactions

  12. Divide and Conquer • Initial stage of unbound docking • Assume minimum binding site information • Try to predict as many near-native structures (hits) as possible in the top 1000, for as many complexes as possible • Post-processing • Re-rank the 1000 structures in order to pick out near-native structures

  13. Energy Components

  14. van der Waals energy; Shape complementarity Desolvation energy; Hydrophobicity Electrostatic interaction energy Translational, rotational and vibrational free energy changes An Effective Binding Free Energy Function Number of atoms of type i Desolvation energy for an atom of type i

  15. R FFT Correlation IFFT FFT Y X L Surface Interior Binding Site Fast Fourier Transform Increase the speed by 107

  16. DOCK by Kuntz et al.

  17. Evaluate Performance • Gold Standard: Crystal structure of the complex • A near-native structure (hit):RMSD of Ca after superposition < 2.5 Å • Success rate: Given some number of predictions, percentage of complexes with at least one hit

  18. Docking Benchmark 55 non-redundant complexes http://zlab.bu.edu/~rong/dock/

  19. Post-Processing Using RDOCK

  20. CAPRI Results

  21. Target 2: Antibody/VP6 Red: Crystal Structure Blue: Prediction 50/52; 1st

  22. Target 7:T Cell Receptor / Toxin Red: Crystal Structure Blue: Prediction 31/37, 1st

  23. Target 3:Antibody/Hemagglutinin Red: Crystal Structure Blue: Prediction 37/62, 3rd

  24. Target 6:Camelide Antibody/a amylase Red: Crystal Structure Blue: Prediction 18/65

  25. Target 1:Hpr/HPrK Red: Crystal Structure Blue: Prediction 5/52

  26. Summary • Conformational change tolerant target functions are needed for unbound docking • We need to balance shape complementarity, desolvation, electrostatics components • If we submit 10 predictions, we have a 60% success rate.

  27. Future Work • An automatic protein-protein docking server • Large scale comparison of all docking algorithms on the benchmark • Post processing with binding site information, conformation space search, clustering and detailed free energy calculation • Make predictions!

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