Computational Peptidology pp 75-87 | Cite as
Brownian Dynamics Simulation of Peptides with the University of Houston Brownian Dynamics (UHBD) Program
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Abstract
This chapter provides the background theory and a practical protocol for performing Brownian dynamics simulation of peptides. Brownian dynamics simulation represents a complementary approach to Monte Carlo and molecular dynamics methods. Unlike Monte Carlo methods, it could provide dynamical information in a timescale longer than the momentum relaxation time. On the other hand, it is faster than molecular dynamics by approximating the solvent by a continuum and by operating in the over-damped limit. This chapter introduces the use of the University of Houston Brownian Dynamics (UHBD) program [1, 2] to perform Brownian dynamics simulation on peptides.
Key words
Brownian dynamics simulation UHBD program Helix-capping motifs Conformational distribution of peptidesReferences
- 1.Madura J, McCammon JA (1989) Brownian dynamics simulation of diffusional encounters between triose phosphate isomerase and D-glyceraldehyde phosphate. J Phys Chem 93:7285–7287CrossRefGoogle Scholar
- 2.Madura JD, Briggs JM, Wade RC, Davis ME, Luty BA et al (1995) Electrostatics and diffusion of molecules in solution - simulations with the University of Houston Brownian Dynamics Program. Comput Phys Commun 91:57–95CrossRefGoogle Scholar
- 3.Ermak DL, McCammon JA (1978) Brownian dynamics with hydrodynamic interactions. J Chem Phys 69:1352–1360CrossRefGoogle Scholar
- 4.Langevin P (1908) On the theory of Brownian motion. R Acad Sci (Paris) 146:530Google Scholar
- 5.Hess B, Bekker H, Berendsen HJC, Fraaije J (1997) LINCS: a linear constraint solver for molecular simulations. J Comput Chem 18:1463–1472CrossRefGoogle Scholar
- 6.Ryckaert JP, Ciccotti G, Berendsen HJC (1977) Numerical integration of the cartesian equations of motion of a system with constraints: molecular dynamics of n-alkanes. J Comput Phys 23:327–341CrossRefGoogle Scholar
- 7.Shen T, Wong CF, McCammon JA (2003) Brownian dynamics simulation of helix-capping motifs. Biopolymers 70:252–259PubMedCrossRefGoogle Scholar
- 8.Shen TY, Wong CF, McCammon JA (2001) Atomistic Brownian dynamics simulation of peptide phosphorylation. J Am Chem Soc 123:9107–9111PubMedCrossRefGoogle Scholar
- 9.Mehler EL (1990) Comparison of dielectric response models for simulating electrostatic effects in proteins. Protein Eng 3:415–417PubMedCrossRefGoogle Scholar
- 10.Mehler EL, Solmajer T (1991) Electrostatic effects in proteins: comparison of dielectric and charge models. Protein Eng 4:903–910PubMedCrossRefGoogle Scholar
- 11.Still WC, Tempczyk A, Hawley RC, Hendrickson T (1990) Semianalytical treatment of solvation for molecular mechanics and dynamics. J Am Chem Soc 112:6127–6129CrossRefGoogle Scholar
- 12.Qiu D, Shenkin PS, Hollinger FP, Still WC (1997) The GB/SA continuum model for solvation. A fast analytical method for the calculation of approximate Born radii. J Phys Chem A 101:3005–3014CrossRefGoogle Scholar
- 13.David L, Luo R, Gilson MK (2000) Comparison of generalized born and Poisson models: energetics and dynamics of HIV protease. J Comput Chem 21:295–309CrossRefGoogle Scholar
- 14.Ghosh A, Rapp CS, Friesner RA (1998) Generalized born model based on a surface integral formulation. J Phys Chem B 102:10983–10990CrossRefGoogle Scholar
- 15.Lee MS, Salsbury FR, Brooks CL (2002) Novel generalized Born methods. J Chem Phys 116:10606–10614CrossRefGoogle Scholar
- 16.Smart JL, Marrone TJ, McCammon JA (1997) Conformational sampling with Poisson-Boltzmann forces and a stochastic dynamics/Monte Carlo method: application to alanine dipeptide. J Comput Chem 18:1750–1759CrossRefGoogle Scholar
- 17.Davis ME, Madura JD, Luty BA, McCammon JA (1991) Electrostatics and diffusion of molecules in solution - simulations with the University-of-Houston-Brownian Dynamics Program. Comput Phys Commun 62:187–197CrossRefGoogle Scholar
- 18.Brooks BR, Brooks CL 3rd, Mackerell AD Jr, Nilsson L, Petrella RJ et al (2009) CHARMM: the biomolecular simulation program. J Comput Chem 30:1545–1614PubMedCentralPubMedCrossRefGoogle Scholar
- 19.Brooks BR, Bruccoleri RE, Olafson BD, States DJ, Swaminathan S et al (1983) CHARMM: a program for macromolecular energy, minimization, and dynamics calculations. J Comput Chem 4:187–217CrossRefGoogle Scholar
- 20.Guex N, Peitsch MC (1997) SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 18:2714–2723PubMedCrossRefGoogle Scholar
- 21.Bernstein FC, Koetzle TF, Williams GJB, Meyer EF Jr, Brice MD et al (1977) The protein data bank: a computer-based archival file for macromolecular structures. J Mol Biol 112:535–542PubMedCrossRefGoogle Scholar
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