First Principles-Based Calculations of Free Energy of Binding: Application to Ligand Binding in a Self-Assembling Superstructure.

The accurate prediction of ligand binding affinities to a protein remains a desirable goal of computational biochemistry. Many available methods use molecular mechanics (MM) to describe the system, however, MM force fields cannot fully describe the complex interactions involved in binding, specifically electron transfer and polarization. First principles approaches can fully account for these interactions, and with the development of linear-scaling first principles programs, it is now viable to apply first principles calculations to systems containing tens of thousands of atoms. In this paper, a quantum mechanical Poisson-Boltzmann surface area approach is applied to a model of a protein-ligand binding cavity, the "tennis ball" dimer. Results obtained from this approach demonstrate considerable improvement over conventional molecular mechanics Poisson-Boltzmann surface area due to the more accurate description of the interactions in the system. For the first principles calculations in this study, the linear-scaling density functional theory program ONETEP is used, allowing the approach to be applied to receptor-ligand complexes of pharmaceutical interest that typically include thousands of atoms.

[1]  Chung F Wong,et al.  Rank-ordering protein-ligand binding affinity by a quantum mechanics/molecular mechanics/Poisson-Boltzmann-surface area model. , 2007, The Journal of chemical physics.

[2]  J. Rebek,et al.  Encapsulation of methane and other small molecules in a self-assembling superstructure. , 1994, Science.

[3]  A. Becke Density-functional thermochemistry. V. Systematic optimization of exchange-correlation functionals , 1997 .

[4]  Arash A. Mostofi,et al.  Implementation of linear‐scaling plane wave density functional theory on parallel computers , 2006 .

[5]  U. Ryde,et al.  QM/MM-PBSA method to estimate free energies for reactions in proteins. , 2008, The journal of physical chemistry. B.

[6]  David R. Bowler,et al.  Introductory Remarks: Linear Scaling Methods , 2008 .

[7]  W. Kohn,et al.  Self-Consistent Equations Including Exchange and Correlation Effects , 1965 .

[8]  P. Kollman,et al.  Computational Alanine Scanning To Probe Protein−Protein Interactions: A Novel Approach To Evaluate Binding Free Energies , 1999 .

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

[10]  Stefan Grimme,et al.  Semiempirical GGA‐type density functional constructed with a long‐range dispersion correction , 2006, J. Comput. Chem..

[11]  Arash A. Mostofi,et al.  Nonorthogonal generalized Wannier function pseudopotential plane-wave method , 2002 .

[12]  T. Halgren,et al.  Polarizable force fields. , 2001, Current opinion in structural biology.

[13]  R A Friesner,et al.  Large-scale ab initio quantum chemical calculations on biological systems. , 2001, Accounts of chemical research.

[14]  Ruth Nussinov,et al.  Principles of docking: An overview of search algorithms and a guide to scoring functions , 2002, Proteins.

[15]  Chris-Kriton Skylaris,et al.  Including dispersion interactions in the ONETEP program for linear-scaling density functional theory calculations , 2009, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[16]  Arash A. Mostofi,et al.  Preconditioned iterative minimization for linear-scaling electronic structure calculations , 2003 .

[17]  S. Goedecker Linear scaling electronic structure methods , 1999 .

[18]  P. Kollman,et al.  Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. , 2000, Accounts of chemical research.

[19]  Guohui Li,et al.  Development of effective quantum mechanical/molecular mechanical (QM/MM) methods for complex biological processes. , 2006, The journal of physical chemistry. B.

[20]  D. Sánchez-Portal,et al.  The SIESTA method for ab initio order-N materials simulation , 2001, cond-mat/0111138.

[21]  Arash A. Mostofi,et al.  Elimination of basis set superposition error in linear-scaling density-functional calculations with local orbitals optimised in situ , 2006 .

[22]  Peter D Haynes,et al.  Dynamical effects in ab initio NMR calculations: classical force fields fitted to quantum forces. , 2010, The Journal of chemical physics.

[23]  G. Ciccotti,et al.  Numerical Integration of the Cartesian Equations of Motion of a System with Constraints: Molecular Dynamics of n-Alkanes , 1977 .

[24]  W. C. Still,et al.  Semianalytical treatment of solvation for molecular mechanics and dynamics , 1990 .

[25]  Chris-Kriton Skylaris,et al.  Introducing ONETEP: linear-scaling density functional simulations on parallel computers. , 2005, The Journal of chemical physics.

[26]  Chris-Kriton Skylaris,et al.  Protein-protein interactions from linear-scaling first-principles quantum-mechanical calculations , 2010 .

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

[28]  Dimas Suárez,et al.  Molecular dynamics simulations of the TEM-1 beta-lactamase complexed with cephalothin. , 2005, Journal of medicinal chemistry.

[29]  P. Kollman,et al.  Application of Free Energy Perturbation Calculations to the “Tennis Ball” Dimer: Why Is CF4 Not Encapsulated by This Host? , 1996 .

[30]  Nicholas D. M. Hine,et al.  Linear-scaling density-functional theory with tens of thousands of atoms: Expanding the scope and scale of calculations with ONETEP , 2009, Comput. Phys. Commun..

[31]  Burke,et al.  Generalized Gradient Approximation Made Simple. , 1996, Physical review letters.

[32]  T. H. Dunning Gaussian basis sets for use in correlated molecular calculations. I. The atoms boron through neon and hydrogen , 1989 .

[33]  David R. Bowler,et al.  Practical methods for ab initio calculations on thousands of atoms , 1999 .

[34]  Arieh Warshel,et al.  Progress in ab initio QM/MM free-energy simulations of electrostatic energies in proteins: accelerated QM/MM studies of pKa, redox reactions and solvation free energies. , 2009, The journal of physical chemistry. B.

[35]  Jonathan W. Essex,et al.  Prediction of protein–ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations , 2010, J. Comput. Aided Mol. Des..