丁香实验_LOGO
登录
提问
我要登录
|免费注册
点赞
收藏
wx-share
分享

Using DelPhi to Compute Electrostatic Potentials and Assess Their Contribution to Interactions

互联网

844
  • Abstract
  • Table of Contents
  • Materials
  • Figures
  • Literature Cited

Abstract

 

There is a general agreement that electrostatic interactions play a significant role in the structure and function of biological molecules. However, obtaining quantitative estimation of the electrostatic energy requires computational models that capture the microscopic nature of the heterogeneous environment of macromolecules. This protocol offers elaboration on one of the common methods to calculate the electrostatic energetic contributions using continuum electrostatics. The method involves solving the Poisson?Boltzmann (PB) equation numerically and regarding the solute as having a homogenous dielectric constant. In order to apply this method, a three dimensional structure of the molecule derived from experimental data (crystallography, NMR) or modeling techniques is required. The protocol will focus on the DelPhi program (Accelrys Inc. San Diego), which is one of the most common programs used for the estimation of electrostatic free energy contribution. A simple procedure of assigning criteria and parameters (charge distribution, solvent and solute dielectric constants, iterations, grid resolution, etc) enables one to illustrate an electrostatic potential map and estimate the electrostatic free energy, although with limited accuracy.

     
 
GO TO THE FULL PROTOCOL:
PDF or HTML at Wiley Online Library

Table of Contents

  • Guidelines for Understanding Results
  • Commentary
  • Literature Cited
  • Figures
     
 
GO TO THE FULL PROTOCOL:
PDF or HTML at Wiley Online Library

Materials

Basic Protocol 1:

  Necessary Resources
      Hardware
  • Silicon Graphics IRIS workstations
      Software
  • Insight II modeling program and DelPhi module (Accelrys; see Internet Resources ) or
  • DelPhi stand‐alone program (Columbia University; see Internet Resources )
      Files
  • Three‐dimensional structure of the unbound and bound proteins in PDB or other Insight II–readable format
GO TO THE FULL PROTOCOL:
PDF or HTML at Wiley Online Library

Figures

  •   Figure 8.4.1 The Solute window. Assign the atomic charge, atomic radius, and solute dielectric here. For proteins, the dielectric constant ranges from 2.0 to 5.0.
    View Image
  •   Figure 8.4.2 The Solvent window. Set the solvent characteristics (i.e., Solvent Dielectric, Solvent Radius, Ionic Strength, and Ionic Radius) here. A dielectric constant of 80 and solvent radius of 1.4 Å is used for water.
    View Image
  •   Figure 8.4.3 The Grid window. DelPhi calculates electrostatic energy by mapping the molecule onto a three‐dimensional grid. The accuracy of the calculated electrostatic potentials depends heavily on the resolution of the grid. It is generally accepted that a grid resolution of 4 grid points/Å gives accurate enough results.
    View Image
  •   Figure 8.4.4 The Boundary window. Set grid boundaries here. The most common and recommended option is to use the Full_Coulombic choice.
    View Image
  •   Figure 8.4.5 The boundary window. The use of Focussing procedure requires two runs of Delphi program. In the first run, a potential map with a small Solute Extent (∼30%; Fig. ) is generated. This potential map file is used for the second run in which the Focussing is chosen as the boundary condition as shown in the figure. Higher Solute Extent (∼80%) could be chosen in the grid window during the second run. Also, the Auto_Get_Grid option must be turned on in the run window.
    View Image
  •   Figure 8.4.6 The Iterations window. Assign iteration characteristics here. Selecting Auto_Iterations allows the continuation of calculations until an energy convergence is reached. The user may also choose between a nonlinear and linear calculation by turning on or off the Non_Linear option, respectively.
    View Image
  •   Figure 8.4.7 The Files window. The necessary data (file outputs) needed should be chosen from the various options.
    View Image
  •   Figure 8.4.8 The Run DelPhi window. This command allows to specify the job details, such as to run as background or create an input file for command line submission at a later stage.
    View Image
  •   Figure 8.4.9 The potential map calculated for an α‐helix which has positively charged residues at the N terminus and negatively charged residues at the C‐terminus (sequence: RKHRRAAAAAADEDE). The potential map is plotted using the contour program available with insight II: −1 kcal/mole/e contour is displayed in red, and +1 kcal/mole/e contour is displayed in green.
    View Image

Videos

Literature Cited

   Ajay, A. and Murcko, M.A. 1995. Computational methods to predict binding free energy in ligand‐receptor complexes. J. Med. Chem. 38:4953‐4967.
   Alexov, E.G. and Gunner, M.R. 1999. Calculated protein and proton motions coupled to electron transfer: Electron transfer from QA to QB in bacterial photosynthetic reaction centers. Biochemistry 38:8253‐8270.
   Andrews, P.R., Craik, D.J., and Martin, J.L. 1984. Functional group contributions to drug‐receptor interactions. J. Med. Chem. 27:1648‐1657.
   Bash, P.A., Singh, U.C., Brown, F.K., Langridge, R., and Kollman, P.A. 1987. Free energy calculations by computer simulation. Science 235:574‐576.
   Beveridge, D.L. and DiCapua, F.M. 1989. Free energy via molecular simulation: Applications to chemical and biomolecular systems. Biophys. Chem. 18:431‐492.
   Brooks, B.R., Bruccoleri, R.E., Olafson, B.D., States, D.J., Swaminathan, S., and Karplus, M. 1983. CHARMM: A program for macromolecular energy minimization and dynamic calculations. J. Comput. Chem. 4:187‐217.
   Dominy, B. and Brooks, III, C.L. 1999. Development of a generalized Born model parameterization for proteins and nucleic acids. J. Phys. Chem. 103:3765‐3773.
   Froloff, N., Windemuth, A., and Honig, B.H. 1997. On the calculation of binding free energies using continuum methods: Application to MHC class I protein‐peptide interactions. Protein Science 6:1293‐1301.
   Gilson, M.K. and Honig, B.H. 1986. The dielectric constant of a folded protein. Biopolymers 25:2097‐2119.
   Gilson, M.K. and Honig, B.H. 1988. Energetics of charge‐charge interactions in proteins. Proteins 3:32‐52.
   Honig, B.H., Sharp, K., and Yang, A.S. 1993. Macroscopic models of aqueous solution: Biological and chemical applications. J. Phys. Chem. 97:1101‐1109.
   Klapper, I., Hagstrom, R., Fine, R., Sharp, K., and Honig, B.H. 1986. Focusing of electric fields in the active site of Cu‐Zn superoxide dismutase: Effects of ionic strength and amino‐acid modification. Proteins 1:47‐59.
   McCammon, J.A. 1987. Computer‐aided molecular design. Science 238: 486‐491.
   Miyamoto, S. and Kollman, P.A. 1993. Absolute and relative binding free energy calculations of the interaction of biotin and its analogs with streptavidin using molecular dynamics/free energy perturbation approaches. Proteins 16:226‐245.
   Nicholls, A. and Honig, B.H. 1991. A rapid finite difference algorithm, utilizing successive over‐relaxation to solve Poisson‐Boltzmann equations. J. Comput. Chem. 12:435‐445.
   Nielsen, J.E., Andersen, K.V., Honig, B., Hooft, R.W.W., Klebe, G., Vriend, G., and Wade, R.C. 1999. Improving macromolecular electrostatics calculations. Protein Eng. 12:657‐662.
   Pearlman, D.A. and Rao, G.B. 1998. Free energy calculation: Methods and applications. In The Encyclopedia of Computational Chemistry, vol. 2. (Schleyer, P.v.R., Jorgensen, W.L., Schaefer III, H.F., Schreiner, P.R., and Thiel, W., eds.), pp. 1053‐1058. John Wiley & Sons, Chichester, U.K.
   Rocchia, W., Alexov, E., and Honig, B. 2001. Extending the applicability of nonlinear Poisson‐Boltzmann equation: Multiple dielectric constants and multivalent ions. J. Phys. Chem. B. 105:6507‐6514.
   Schutz, C.N. and Warshel, A. 2001. What are the dielectric “constants” of proteins and how to validate electrostatic models? Proteins 44:400‐417.
   Sheinerman, F.B., Norel, R., and Honig, B. 2000. Electrostatic aspects of protein‐protein interactions. Curr. Opin. Struct. Biol. 10:153‐159.
   Straatsma, T.P. and McCammon, J.A. 1991. Theoretical calculations of relative affinities of binding. Method Enzymol. 202:497‐511.
   Williams, D.H., Cox, J.P.L., Doig, A.J., Gardner, M., Gerhard. U., Kaye, P.T., Lal, A.R., Nicholls, I.A., Salter, C.J., and Mitchell, R.C. 1991. Toward the semiquantitative estimation of binding constants. Guides for peptide‐peptide binding in aqueous solution. J. Am. Chem. Soc. 113:7020‐7030.
   Tobias, D.J. 2001. Electrostatic calculations: Recent methodological advances and applications to membranes. Curr. Opin. Struct. Biol. 11:253‐261.
Key Reference
   Honig et al., 1993. See above.
   Covers the fundamental theoretical and practical aspects of DelPhi.
Internet Resources
   http://www.accelrys.com
   Accelrys Web site.
   http://trantor.bioc.columbia.edu/delphi
   Web site to obtain the source code of DelPhi program, available at the Department of Biochemistry, Columbia University.
GO TO THE FULL PROTOCOL:
PDF or HTML at Wiley Online Library
 
提问
扫一扫
丁香实验小程序二维码
实验小助手
丁香实验公众号二维码
关注公众号
反馈
TOP
打开小程序