Implicit Solvent (implicit + solvent)

Distribution by Scientific Domains

Terms modified by Implicit Solvent

  • implicit solvent model

  • Selected Abstracts


    CHARMM: The biomolecular simulation program

    JOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 10 2009
    B. R. Brooks
    Abstract CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estimators, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numerous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983. © 2009 Wiley Periodicals, Inc.J Comput Chem, 2009. [source]


    The implementation of a fast and accurate QM/MM potential method in Amber

    JOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 7 2008
    Ross C. Walker
    Abstract Version 9 of the Amber simulation programs includes a new semi-empirical hybrid QM/MM functionality. This includes support for implicit solvent (generalized Born) and for periodic explicit solvent simulations using a newly developed QM/MM implementation of the particle mesh Ewald (PME) method. The code provides sufficiently accurate gradients to run constant energy QM/MM MD simulations for many nanoseconds. The link atom approach used for treating the QM/MM boundary shows improved performance, and the user interface has been rewritten to bring the format into line with classical MD simulations. Support is provided for the PM3, PDDG/PM3, PM3CARB1, AM1, MNDO, and PDDG/MNDO semi-empirical Hamiltonians as well as the self-consistent charge density functional tight binding (SCC-DFTB) method. Performance has been improved to the point where using QM/MM, for a QM system of 71 atoms within an explicitly solvated protein using periodic boundaries and PME requires less than twice the cpu time of the corresponding classical simulation. © 2007 Wiley Periodicals, Inc. J Comput Chem, 2008 [source]


    Influence of temperature, friction, and random forces on folding of the B-domain of staphylococcal protein A: All-atom molecular dynamics in implicit solvent

    JOURNAL OF COMPUTATIONAL CHEMISTRY, Issue 6 2007
    Anna Jagielska
    Abstract The influences of temperature, friction, and random forces on the folding of protein A have been analyzed. A series of all-atom molecular dynamics folding simulations with the Amber ff99 potential and Generalized Born solvation, starting from the fully extended chain, were carried out for temperatures from 300 to 500 K, using (a) the Berendsen thermostat (with no explicit friction or random forces) and (b) Langevin dynamics (with friction and stochastic forces explicitly present in the system). The simulation temperature influences the relative time scale of the major events on the folding pathways of protein A. At lower temperatures, helix 2 folds significantly later than helices 1 and 3. However, with increasing temperature, the folding time of helix 2 approaches the folding times of helices 1 and 3. At lower temperatures, the complete formation of secondary and tertiary structure is significantly separated in time whereas, at higher temperatures, they occur simultaneously. These results suggest that some earlier experimental and theoretical observations of folding events, e.g., the order of helix formation, could depend on the temperature used in those studies. Therefore, the differences in temperature used could be one of the reasons for the discrepancies among published experimental and computational studies of the folding of protein A. Friction and random forces do not change the folding pathway that was observed in the simulations with the Berendsen thermostat, but their explicit presence in the system extends the folding time of protein A. © 2007 Wiley Periodicals, Inc. J Comput Chem 2007 [source]


    LpxA: A natural nanotube,

    BIOPOLYMERS, Issue 10 2010
    Atanu Das
    Abstract UDP-N-acetylglucosamine 3-O-acyltransferase is a protein with a left-handed parallel ,-helix, which is a natural nanotube. They are associated with unusual high stability. To identify the reason behind the structural stability of ,-helical nanotubular structure, we have performed a total of 4 ,s molecular dynamics simulations of the protein in implicit solvent at four different temperatures and monitored the unfolding pathway. The correlation in movement between different regions of the nanotubular structure has been identified from the dynamical cross-correlation map and contribution of some specific residues towards unfolding transition has been identified by principal component analysis. Difference in stability of the three loop regions has also been characterized. Construction of the unfolding conformational energy landscape identifies the probable intermediates that can appear in the unfolding pathway of the protein. © 2010 Wiley Periodicals, Inc. Biopolymers 93: 845,853, 2010. [source]


    Multiscale modeling of nucleic acids: Insights into DNA flexibility

    BIOPOLYMERS, Issue 9 2008
    Yannick J. Bomble
    Abstract The elastic rod theory is used together with all-atom normal mode analysis in implicit solvent to characterize the mechanical flexibility of duplex DNA. The bending, twisting, stretching rigidities extracted from all-atom simulations (on linear duplexes from 60 to 150 base pairs in length and from 94-bp minicircles) are in reasonable agreement with experimental results. We focus on salt concentration and sequence effects on the overall flexibility. Bending persistence lengths are about 20% higher than most experimental estimates, but the transition from low-salt to high-salt behavior is reproduced well, as is the dependence of the stretching modulus on salt (which is opposite to that of bending). CTG and CGG trinucleotide repeats, responsible for several degenerative disorders, are found to be more flexible than random DNA, in agreement with several recent studies, whereas poly(dA).poly(dT) is the stiffest sequence we have encountered. The results suggest that current all-atom potentials, which were parameterized on small molecules and short oligonucleotides, also provide a useful description of duplex DNA at much longer length scales. © 2008 Wiley Periodicals, Inc. Biopolymers 89: 722,731, 2008. This article was originally published online as an accepted preprint. The "Published Online" date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com [source]