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  • 1
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    Journal of the American Chemical Society 116 (1994), S. 10362-10375 
    ISSN: 1520-5126
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 92 (1990), S. 3092-3095 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: An analytical derivation is presented of the expression of Northrup et al. [J. Chem. Phys. 80, 1517 (1984)] for extracting diffusive reaction rates from Brownian dynamics simulations. By working with the Smoluchowski equation governing the distribution function of the reactants, we obtain two identities that directly lead to this expression. This derivation provides a rigorous theoretical basis for this important expression.
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  • 3
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 92 (1990), S. 3874-3880 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: A dynamical mean field theory is developed for the frequency dependence of the modulation and phase angle that are monitored in frequency domain fluorometric studies of diffusion-influenced fluorescence quenching. These quantities are obtained directly in the frequency domain by solving an implicit equation involving the Laplace transform [kˆ(z)] of the time dependent bimolecular rate coefficient [k(t)] that plays a central role in the Smoluchowski approach to this problem. For several models of the quenching process, the mean field results are compared with those obtained by Fourier transforming the time domain response calculated using the Smoluchowski approach. The agreement is good except at high quencher concentrations. For models where kˆ(z) is known analytically, the mean field approach is computationally simpler than the Smoluchowski one. This is even more so when it is not possible to find k(t) analytically from kˆ(z) (e.g., a model in which the nonradiative lifetime of a quencher-fluorophore pair is constant up to a critical separation but infinite thereafter).
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  • 4
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 113 (2000), S. 4794-4798 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: The concept of potential of mean force (PMF) is now widely used in predicting protein structures. Proteins notably differ from liquids by their inhomogeneity and chain connectivity. Does meaningful correspondence exist between PMFs in proteins and PMFs in liquids? This question was addressed in this article. We constructed "proteins" each with 90 residues selected from a system of 500 hard spheres. The residues were of two types, N and P. They interact among themselves (with energies ENN, EPP, ENP) and the 410 "solvent" spheres (with energies ENS and EPS). Out of the 500 hard spheres, we first identified all chains consisting of 90 residues that have appropriate distances between nearest neighbors. The conformation of a protein was selected as the one having the lowest total energy among the 3.7 million chains. A corresponding liquid system was constructed without imposing distance constraints among solute spheres. The PMFs obtained from the proteins and the liquid system show remarkable similarities. For eleven sets of the energy parameters, the first minima of the PMFs in the proteins agree with their counterparts in the liquid state to within a constant. © 2000 American Institute of Physics.
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  • 5
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 100 (1994), S. 3821-3826 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: An algorithm originally devised for calculating the diffusion-controlled reaction rate toward an arbitrarily shaped object is adapted to calculate the scalar translational hydrodynamic friction and the electrostatic capacitance of the object. In this algorithm Brownian particles are launched from a spherical surface enclosing the object. Each particle is propagated until it either hits the enclosed object or crosses the starting surface. In the latter case the particle is allowed to escape to infinity with an analytically known probability. If the particle does not escape to infinity, it is put back on the starting surface with the correct distribution density and the process is repeated. The scalar friction or capacitance of the "probed'' object is proportional to the fraction of particles that hit the object. This algorithm is illustrated on a dumbbell made of two equal-size spheres, a cube, and a phantom spherical shell having random distributed beads embedded in its surface.
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  • 6
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 100 (1994), S. 3152-3162 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: A fundamental problem in macromolecular electrostatics is the calculation of the electrostatic energy of a macromolecule solvated in an electrolyte solution, i.e., the work required to charge up the macromolecule in the presence of the electrolytic ions. Through numerical calculations with the nonlinear Poisson–Boltzmann (PB) equation, Sharp and Honig [J. Phys. Chem. 94, 7684 (1990)] observed that this energy can be obtained with equal accuracy from the charging integral and from their energy–density integral. Here we give an elementary analytical proof of the exact equivalence of the two different formulations of the energy. In order to calculate the macromolecular electrostatic energy, a boundary element method [Biophys. J. 65, 954 (1993)] previously developed for the linearized PB equation is modified to solve the nonlinear PB equation. Illustrative calculations show that for globular proteins under physiological ionic strengths, the electrostatic energy calculated from the linearized PB equation differs very little from that calculated from the nonlinear equation.
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  • 7
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 94 (1991), S. 6147-6152 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: This paper presents a simple dynamical model of a rate process in which the rate appears to be controlled by an entropy barrier, rather than an energy barrier. The model consists of independent particles moving in a two-dimensional region bounded by four reflecting disks. The particles collide elastically with the walls. A bottleneck separates the region into reactants and products. The extent of the reaction is followed by using computer simulations to get the time dependence of the number correlation function of reactants. The particle dynamics are either frictionless (inertial), moderately frictional (Langevin dynamics), or strongly frictional (Brownian dynamics). For small bottlenecks, the number correlation function generally decays in time as a single exponential. The transition rate in the frictionless limit is predicted correctly by microcanonical transition state theory. As the strength of the friction is increased, the rate changes to the diffusive limit without the usual Kramers turnover.
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  • 8
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 108 (1998), S. 8139-8145 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: A new algorithm for calculating the rate constants of diffusion-influenced reactions from Brownian-dynamics simulations is introduced and compared with two previous algorithms. It is based on the mean residence time of the pair of reactant molecules in the reactive region after the molecules are started from that region. Of the previous algorithms, one is based on the capture probability of one reactant molecule started on a spherical surface enclosing the other reactant molecule [Northrup et al., J. Chem. Phys. 80, 1517 (1984)]; the other is based on the survival probability of the pair of reactant molecules started in the reactive region [Zhou, J. Phys. Chem. 94, 8794 (1990)]. In the implementation of the residence-time based algorithm, analogy can be drawn between diffusion-influenced bimolecular reactions and diffusive energy-barrier crossing processes. When the reactive region is small, the pair of reactant molecules will be near the reactive region even after many multiples of the mean residence time have elapsed. Hence the residence time in the reactive region will not be significantly affected by the presence of an interaction potential U if the potential is smooth around the reactive region. This rationalizes an earlier analytic result k=k0〈exp(−U/kBT)〉, where k and k0 are the rate constants in the presence and absence of the potential. The three simulation algorithms are applied to the binding of a pointlike ligand to an immobile sphere with a reactive patch in the presence and absence of a Coulomb potential. The survival-probability based algorithm is always the most accurate and efficient one. © 1998 American Institute of Physics.
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  • 9
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 108 (1998), S. 8146-8154 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: The effects of stochastic gating on the diffusion-influenced substrate binding rate to a buried active site are studied. An approximation introduced by Samson and Deutch [J. Chem. Phys. 68, 285 (1978)] is shown to be equivalent to making the constant-flux approximation on the entrance to the active site. The constant-flux approximation is then extended to the case where the entrance to the active site is stochastically gated because of conformational fluctuations of the enzyme. The stochastically gated rate constant, ksg, is found to be given by the relation 1/ksg=1/k+wo/wc(wo+wc)h(circumflex)(wo+wc), where k is the rate constant in the absence of gating, h(circumflex)(s) is the Laplace transform of the total flux across the entrance after the substrate is started from an equilibrium distribution outside the entrance, and wo and wc are the transition rates between the open and closed gating states. This relation reduces to an approximate relation derived earlier for a more restrictive situation, where the reactivity within the active site is gated. The leading term in the expansion of sh(circumflex)(s) for large s is DA〈exp(−βU)〉(s/D)1/2/2, where D is the diffusion coefficient of the substrate, A is the total area of the entrance, and 〈exp(−βU)〉 is the average Boltzmann factor on the entrance. The time scale of conformational fluctuations, ∼ a few picoseconds, is much shorter than the time scale of diffusion, so this leading term is useful for estimating (wo+wc)h(circumflex)(wo+wc). A further consequence of the disparity in time scales is that the value of (wo+wc)h(circumflex)(wo+wc) is much larger than k. As a result the decrease of the rate constant due to gating is relatively small (unless the entrance to the active site is closed nearly all the time). This suggests that a buried and gated active site may play the important role of controlling enzyme specificity without sacrificing efficiency. © 1998 American Institute of Physics.
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  • 10
    Electronic Resource
    Electronic Resource
    College Park, Md. : American Institute of Physics (AIP)
    The Journal of Chemical Physics 105 (1996), S. 3726-3733 
    ISSN: 1089-7690
    Source: AIP Digital Archive
    Topics: Physics , Chemistry and Pharmacology
    Notes: A dielectric continuum model is developed for calculating polarization reorganization energies of electron transfer reactions that occur in proteins. The model is based on an earlier microscopic formulation of the Marcus electron transfer theory. The classical Marcus result, λ=ΔGop1-0−ΔG1-0, for the free energy of polarization reorganization is derived from the microscopic theory. Both ΔGop1-0 and ΔG1-0 denote the electrostatic free energy due to a positive unit charge (+e) distributed in the region representing the electron donor and a negative unit charge (−e) distributed in the region representing the electron acceptor. In calculating ΔGop1-0, the donor and acceptor as well as the environment surrounding them take the optical dielectric constant εop. In calculating ΔG1-0, the donor and acceptor keep the optical dielectric constant but the environment takes the static dielectric constant ε. The environment consists of the protein matrix (where εop=εpop and ε=εp) and the solvent (where εop=εsop and ε=εs). The polarization reorganization free energy can be approximated as the sum of two components λ1 and λ2. In calculating λ1, the protein region is extended outward to infinity. For the case where the donor and acceptor are modeled as spheres (with both radii equal to a and center–center distance at r) and the electron charge is put at either center, a Marcus result, λ1=[(1/εpop)−(1/εp)][(1/a)−(1/r)]e2, is found to be highly accurate (maximum error 4%). In calculating λ2, the protein region is extended inward to fill the donor and acceptor. The magnitude of λ2 is usually much smaller than λ1. A toy electron-transfer protein is studied both by the dielectric continuum model and by implementing the microscopic formulation through computer simulations. Agreement of the results from the two approaches demonstrates the accuracy of the dielectric continuum model. © 1996 American Institute of Physics.
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