Funnel-metadynamics and solution NMR to estimate protein-ligand affinities.

One of the intrinsic properties of proteins is their capacity to interact selectively with other molecules in their environment, inducing many chemical equilibria each differentiated by the mutual affinities of the components. A comprehensive understanding of these molecular binding processes at atomistic resolution requires formally the complete description of the system dynamics and statistics at the relevant time scales. While solution NMR observables are averaged over different time scales, from picosecond to second, recent new molecular dynamics protocols accelerated considerably the simulation time of realistic model systems. Based on known ligands recently discovered either by crystallography or NMR for the human peroxiredoxin 5, their affinities were for the first time accurately evaluated at atomistic resolution comparing absolute binding free-energy estimated by funnel-metadynamics simulations and solution NMR experiments. In particular, free-energy calculations are demonstrated to discriminate two closely related ligands as pyrocatechol and 4-methylpyrocathecol separated just by 1 kcal/mol in aqueous solution. The results provide a new experimental and theoretical basis for the estimation of ligand-protein affinities.

[1]  M. Williamson Using chemical shift perturbation to characterise ligand binding. , 2013, Progress in nuclear magnetic resonance spectroscopy.

[2]  K. Constantine,et al.  Localizing the NADP+ binding site on the MurB enzyme by NMR , 1996, Nature Structural Biology.

[3]  Liang Hu,et al.  A comparison of various optimization algorithms of protein–ligand docking programs by fitness accuracy , 2014, Journal of Molecular Modeling.

[4]  A. Cavalli,et al.  Molecular basis of cyclooxygenase enzymes (COXs) selective inhibition , 2010, Proceedings of the National Academy of Sciences.

[5]  M. Parrinello,et al.  Sampling protein motion and solvent effect during ligand binding , 2012, Proceedings of the National Academy of Sciences.

[6]  G. Bodenhausen,et al.  Principles of nuclear magnetic resonance in one and two dimensions , 1987 .

[7]  William L. Jorgensen,et al.  Quantum and statistical mechanical studies of liquids. 25. Solvation and conformation of methanol in water , 1983 .

[8]  Michele Parrinello,et al.  Investigating the mechanism of substrate uptake and release in the glutamate transporter homologue Glt(Ph) through metadynamics simulations. , 2012, Journal of the American Chemical Society.

[9]  K Schulten,et al.  VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.

[10]  Z. A. Wood,et al.  Structure, mechanism and regulation of peroxiredoxins. , 2003, Trends in biochemical sciences.

[11]  R. Dror,et al.  Improved side-chain torsion potentials for the Amber ff99SB protein force field , 2010, Proteins.

[12]  M. Parrinello,et al.  Funnel metadynamics as accurate binding free-energy method , 2013, Proceedings of the National Academy of Sciences.

[13]  B. Knoops,et al.  The crystal structures of oxidized forms of human peroxiredoxin 5 with an intramolecular disulfide bond confirm the proposed enzymatic mechanism for atypical 2-Cys peroxiredoxins. , 2008, Archives of biochemistry and biophysics.

[14]  Kurt Wüthrich,et al.  NMR studies of structure and function of biological macromolecules (Nobel lecture). , 2003, Angewandte Chemie.

[15]  P. Karplus,et al.  Peroxiredoxin Evolution and the Regulation of Hydrogen Peroxide Signaling , 2003, Science.

[16]  Massimiliano Bonomi,et al.  PLUMED: A portable plugin for free-energy calculations with molecular dynamics , 2009, Comput. Phys. Commun..

[17]  S. Grzesiek,et al.  NMRPipe: A multidimensional spectral processing system based on UNIX pipes , 1995, Journal of biomolecular NMR.

[18]  P. Kollman,et al.  Automatic atom type and bond type perception in molecular mechanical calculations. , 2006, Journal of molecular graphics & modelling.

[19]  M. Parrinello,et al.  Well-tempered metadynamics: a smoothly converging and tunable free-energy method. , 2008, Physical review letters.

[20]  Competitive binding of UBPY and ubiquitin to the STAM2 SH3 domain revealed by NMR , 2012, FEBS letters.

[21]  G. de Fabritiis,et al.  Complete reconstruction of an enzyme-inhibitor binding process by molecular dynamics simulations , 2011, Proceedings of the National Academy of Sciences.

[22]  V. Hornak,et al.  Comparison of multiple Amber force fields and development of improved protein backbone parameters , 2006, Proteins.

[23]  P. Kollman,et al.  A Second Generation Force Field for the Simulation of Proteins, Nucleic Acids, and Organic Molecules , 1995 .

[24]  Bruce A. Johnson,et al.  NMR View: A computer program for the visualization and analysis of NMR data , 1994, Journal of biomolecular NMR.

[25]  L. Fielding NMR methods for the determination of protein–ligand dissociation constants , 2007 .

[26]  Wolfram Gronwald,et al.  Combined chemical shift changes and amino acid specific chemical shift mapping of protein–protein interactions , 2007, Journal of biomolecular NMR.

[27]  V. Dötsch,et al.  High-resolution macromolecular NMR spectroscopy inside living cells. , 2001, Journal of the American Chemical Society.

[28]  P Andrew Karplus,et al.  Structural evidence that peroxiredoxin catalytic power is based on transition-state stabilization. , 2010, Journal of molecular biology.

[29]  G. Ya. Wiederschain,et al.  The proteomics protocols handbook , 2006, Biochemistry (Moscow).

[30]  B. Knoops,et al.  Crystal structure of human peroxiredoxin 5, a novel type of mammalian peroxiredoxin at 1.5 A resolution. , 2001, Journal of molecular biology.

[31]  J. Guichou,et al.  Comparing Binding Modes of Analogous Fragments Using NMR in Fragment-Based Drug Design: Application to PRDX5 , 2014, PloS one.

[32]  Jacqueline M. Gulbis,et al.  The molecules of life: physical and chemical principles , 2014 .

[33]  A. Cavalli,et al.  Mechanistic insight into ligand binding to G-quadruplex DNA , 2014, Nucleic acids research.

[34]  M J Harvey,et al.  ACEMD: Accelerating Biomolecular Dynamics in the Microsecond Time Scale. , 2009, Journal of chemical theory and computation.

[35]  Michele Parrinello,et al.  The G-triplex DNA. , 2013, Angewandte Chemie.

[36]  Jean-Paul Declercq,et al.  Peroxiredoxin 5: structure, mechanism, and function of the mammalian atypical 2-Cys peroxiredoxin. , 2011, Antioxidants & redox signaling.

[37]  B. Knoops,et al.  Discovery of Fragment Molecules That Bind the Human Peroxiredoxin 5 Active Site , 2010, PloS one.

[38]  L. Spyracopoulos,et al.  Increased precision for analysis of protein–ligand dissociation constants determined from chemical shift titrations , 2012, Journal of biomolecular NMR.

[39]  A. Laio,et al.  Escaping free-energy minima , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[40]  Junmei Wang,et al.  Development and testing of a general amber force field , 2004, J. Comput. Chem..

[41]  J. Changeux,et al.  50th anniversary of the word “allosteric” , 2011, Protein science : a publication of the Protein Society.

[42]  G J Williams,et al.  The Protein Data Bank: a computer-based archival file for macromolecular structures. , 1978, Archives of biochemistry and biophysics.

[43]  Berk Hess,et al.  Improving efficiency of large time‐scale molecular dynamics simulations of hydrogen‐rich systems , 1999, Journal of computational chemistry.

[44]  D S Goodsell,et al.  Automated docking of flexible ligands: Applications of autodock , 1996, Journal of molecular recognition : JMR.