Protein-Ligand Docking Evaluations

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Introduction Protein-Ligand Docking Evaluations Protein-ligand docking: Given a protein and a ligand, determine the pose(s) and conformation(s) minimizing the total energy of the protein-ligand complex Thomas Funkhouser Princeton University CS597A, Fall 25 http://www.molsoft.com/ Introduction Virtual screening: Given a protein and a database of ligands, use scores (produced by a docking tool) to determine which ligands are most likely to bind NAD FAD NAD Protein ATP Database of Ligands Best Match Docking accuracy? 8 Docking Programs: FRED (multiple conformers) DOCK (incremental construction) FLEXX (incremental construction) SLIDE (incremental construction) SURFLEX (incremental construction) GLIDE (Monte Carlo simulated annealing) QXP (Monte Carlo simulated annealing) GOLD (genetic algorithm) 1

1 Protein-Ligand Complexes: 1 Protein-Ligand Complexes: 1 Protein-Ligand Complexes: For Ligand with Closest RMSD (best pose) For Ligand Ranked First (top pose) 2

Only 5 most flexible ligands (>25 rotatable bonds) Hydrophobic Ligands Screening accuracy? Medium Polar Ligands 3

[Kellenberger4] Screening Study Dock 1 ligands into HIV-1 TK 1 known TK inhibitors 99 randomly chosen drug-like molecules Measure how often TK inhibitors are highly ranked [Kellenberger4] Screening Study Screening accuracy: Precision Recall [Kellenberger4] Screening Study Screening accuracy: Computation speed? (recall) Computation time: Binding affinity prediction accuracy? 4

Study Compare predicted and measured binding energies Empirical methods: Gold [Jones97] DOCK [Kuntz82] ChemScore [Eldridge97] Knowledge-based methods: PMF [Muegge99] Bleep [Mitchell99] Study GOLD calculated log K d Figure 7. GOLD calculated log K d vs. r 2 =.2 Study Study DOCK calculated log K d Figure 8. DOCK calculated log K d vs. experimental log K d r 2 =.2 ChemScore calculated log K d Figure 9. ChemScore calculated log K d vs. experimental log K d r 2 =.18 Study Study PMF calculated log K d Figure 5. PMF calculated log K d vs. experimental log K d r 2 =.11 BLEEP calculated log K d Figure 6. BLEEP calculated log K d vs. r 2 =.32 5

Study Table 1. Correlations Between Experimental and Calculated log K d Values Given by Five Scoring Functions. Dataset No. of BLEEP PMF GOLD DOCK ChemScore complexes Rs r 2 Rs r 2 Rs r 2 Rs r 2 Rs r 2 All 25.59.32.31.11.5.2.43.2.45.18 Study Conclusion All five scoring functions have modest correlation (r 2 <.32) with measured K d values A Serine proteinases 35.82.74.75.51.61.47.83.69.13. B Metalloproteinases 25.72.44.45.33.44.14.42.2.43.17 C Carbonic anhydrase ii 18.53.47.46.32.42.34.54.1.5.28 D Sugar binding proteins 3.76.58.45.9.2..5..29.9 E Aspartic proteinases 38.8.1 -.52.13.2..8.1 -.8. Discussion References? [Eldridge97] M.D. Eldridge, C.W. Murray, T.R. Auton, G.V. Paolini, R.P. Mee, "Empirical scoring functions. I: The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes, J. Comput.- Aided Mol. Des., 11, 1997, pp. 42545. [Friesner4] R.A. Friesner, J.L. Banks, R.B. Murphy, T.A. Halgren, J.J. Klicic, D.T. Mainz, M.P. Repasky, E.H. Knoll, M. Shelley, J.K. Perry, D.E. Shaw, P. Francis, P.S. Shenkin, "Glide: A New Approach for Rapid, Accurate Docking and Scoring.," J. Med. Chem, 47, 24, pp. 1739-1749. [Gohlke] H. Gohlke, M. Hendlich, G. Klebe, "Knowledge-based scoring function to predict protein-ligand interactions," J. Mol. Biol., 295, 2, pp. 337-356. [Jones97] G. Jones, P. Willett, R.C. Glen, A.R. Leach, R. Taylor, "Development and Validation of a Genetic Algorithm for Flexible Docking," J. Mol. Biol., 267, 1997, pp. 727-748. [Kellenberger4] E. Kellenberger, J. Rodrigo, P. Muller, D. Rognan, "Comparative evaluation of eight docking tools for docking and virtual screening accuracy, Proteins, 57, 2, 24, pp. 22542. [Kuntz82] I.D. Kuntz, J.M. Blaney, S.J. Oatley, R. Langridge, T.E. Ferrin, "A geometric approach to macromolecule-ligand interactions, J. Mol. Biol, 161, 1982, pp. 26988. Marsden PM, Puvanendrampillai D, Mitchell JBO and Glen RC., "Predicting protein ligand binding affinities: a low scoring game?", Organic Biomolecular Chemistry, 2, 24, p. 3267-3273. [Mitchell99] J.B.O. Mitchell, R. Laskowski, A. Alex, and J.M. Thornton, BLEEP - potential of mean force describing proteinligand interactions: II. Calculation of binding energies and comparison with experimental data", J. Comput. Chem., 2, 11, 1999, pp. 1177-1185. [Morris98] Morris, G. M., Goodsell, D. S., Halliday, R.S., Huey, R., Hart, W. E., Belew, R. K. and Olson, A. J. "Automated Docking Using a Lamarckian Genetic Algorithm and and Empirical Binding Free Energy Function", J. Computational Chemistry, 19, 1998, p. 163962. [Muegge99] I. Muegge, Y.C. Martin, "A general and fast scoring function for protein-ligand interactions: A simplified potential approach, J. Med. Chem., 42, 1999, pp. 7914. [Rarey96] M. Rarey, B. Kramer, T. Lengauer, G. Klebe, "A Fast Flexible Docking Method using an Incremental Construction Algorithm," Journal of Molecular Biology, 261, 3, 1996, pp. 4789. 6