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From Protein Structure to Function with Bioinformatics.pdf

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9 <strong>Protein</strong> Dynamics: <strong>From</strong> <strong>Structure</strong> <strong>to</strong> <strong>Function</strong> 219the large number of electrons involved, a further simplification is necessary.A semi-empirical force field is introduced which approximates V(r) by a largenumber of functionally simple energy terms for bonded and non-bonded interactions.In its general formVr () = V + V + V + V + V + V=bonds angles dihedrals improper Coul LJ∑bonds∑1 l2 1ki( li− li, ) + ∑ kq 0i( qi −qi,0)22anglesV2 1 1j d ∑ kx (ijkl2x − x 0)n+ ( + cos( n − )) +dihedralsimproper12qq⎛i js ⎞ijsij+ ∑ + 4eij ⎜ ⎟ − ⎛ 6⎡⎞ ⎤∑ ⎢i, j;i≠j4pe0erriji j i j ⎝ rij⎠ ⎝ ⎜ ⎟⎥., ; ≠ ⎢ r⎣ij ⎠ ⎥⎦22The simple terms are often harmonic (e.g. V bonds,V angles,V improper) or motivated byphysical laws (e.g. Coulomb V Coul, Lennard-Jones V LJ). They are defined by theirfunctional form and a small number of parameters, e.g. an a<strong>to</strong>mic radius for van derWaals interactions. All parameters are determined using either ab initio quantumchemical calculations or comparisons of structural or thermodynamical data <strong>with</strong>suitable averages of small molecule MD ensembles. Between different force fields(Brooks et al. 1983; Weiner et al. 1986; Van Gunsteren and Berendsen 1987;Jorgensen et al. 1996) the number of energy terms, their functional form and theirindividual parameters can vary considerably.Given the above description of proteins as point masses (positions r i, velocities v i)moving in a classical potential under external forces F i, a standard MD simulationintegrates New<strong>to</strong>n’s equations of motion in discrete timesteps Δt on the fem<strong>to</strong>secondtimescale by some numerical scheme, e.g. the leap-frog algorithm (Hockneyet al. 1973):ΔtΔtFi() tvi( t+ ) = vi( t− ) + Δt2 2 miΔtri( t+ Δt) = ri( t) + vi( t+) Δ t.2Besides interactions <strong>with</strong> membranes and other macromolecules, water is the principalnatural environment for proteins. For a simulation of a model system thatmatches the in vivo system as close as possible, water molecules and ions in physiologicalconcentration are added <strong>to</strong> the system in order <strong>to</strong> solvate the protein.Having a simulation box filled <strong>with</strong> solvent and solute, artefacts due <strong>to</strong> the boundariesof the system may arise, such as evaporation, high pressure due <strong>to</strong> surface tensionand preferred orientations of solvent molecules on the surface. To avoid such artefacts,

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