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Solvent mobility and the protein 'glass' transition.

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TLDR
A novel molecular dynamics simulation procedure with the protein and solvent at different temperatures has been used, showing the essential role of solvent in controlling functionally important protein fluctuations above 180 K.
Abstract
Proteins and other biomolecules undergo a dynamic transition near 200 K to a glass-like solid state with small atomic fluctuations. This dynamic transition can inhibit biological function. To provide a deeper understanding of the relative importance of solvent mobility and the intrinsic protein energy surface in the transition, a novel molecular dynamics simulation procedure with the protein and solvent at different temperatures has been used. Solvent mobility is shown to be the dominant factor in determining the atomic fluctuations above 180 K, although intrinsic protein effects become important at lower temperatures. The simulations thus complement experimental studies by demonstrating the essential role of solvent in controlling functionally important protein fluctuations.

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Citations
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Journal ArticleDOI

Molecular dynamics simulations of biomolecules

TL;DR: A brief description of the origin and early uses of biomolecular simulations is presented, some recent studies that illustrate the utility of such simulations are outlined and their ever-increasing potential for contributing to biology is discussed.
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A hierarchy of timescales in protein dynamics is linked to enzyme catalysis.

TL;DR: It is shown that pico- to nano-second timescale atomic fluctuations in hinge regions of adenylate kinase facilitate the large-scale, slower lid motions that produce a catalytically competent state.
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Control of the selectivity of the aquaporin water channel family by global orientational tuning.

TL;DR: Aquaporins are transmembrane channels found in cell membranes of all life forms and their apparently paradoxical property, facilitation of efficient permeation of water while excluding protons, is examined.
Journal ArticleDOI

Molecular Dynamics of Water at the Protein-Solvent Interface

TL;DR: In this article, a variety of structural and dynamical properties of protein hydration water are reviewed and compared with those of bulk and with corresponding experimental results, which can be traced back to the complexity of the overall protein−solvent energy landscape.
References
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Journal ArticleDOI

Comparison of simple potential functions for simulating liquid water

TL;DR: In this article, the authors compared the Bernal Fowler (BF), SPC, ST2, TIPS2, TIP3P, and TIP4P potential functions for liquid water in the NPT ensemble at 25°C and 1 atm.
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Canonical dynamics: Equilibrium phase-space distributions

TL;DR: The dynamical steady-state probability density is found in an extended phase space with variables x, p/sub x/, V, epsilon-dot, and zeta, where the x are reduced distances and the two variables epsilus-dot andZeta act as thermodynamic friction coefficients.
Journal ArticleDOI

CHARMM: A program for macromolecular energy, minimization, and dynamics calculations

TL;DR: The CHARMM (Chemistry at Harvard Macromolecular Mechanics) as discussed by the authors is a computer program that uses empirical energy functions to model macromolescular systems, and it can read or model build structures, energy minimize them by first- or second-derivative techniques, perform a normal mode or molecular dynamics simulation, and analyze the structural, equilibrium, and dynamic properties determined in these calculations.
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Formation of glasses from liquids and biopolymers.

TL;DR: The onset of a sharp change in ddT( is the Debye-Waller factor and T is temperature) in proteins, which is controversially indentified with the glass transition in liquids, is shown to be general for glass formers and observable in computer simulations of strong and fragile ionic liquids, where it proves to be close to the experimental glass transition temperature.
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The energy landscapes and motions of proteins.

TL;DR: The concepts that emerge from studies of the conformational substates and the motions between them permit a quantitative discussion of one simple reaction, the binding of small ligands such as carbon monoxide to myoglobin.
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