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  • 1
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Computational Chemistry 14 (1993), S. 484-501 
    ISSN: 0192-8651
    Keywords: Computational Chemistry and Molecular Modeling ; Biochemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Computer Science
    Notes: A new treatment of macromolecular electrostatics has been developed using the 3-D finite element method to numerically solve the linear Poisson-Boltzmann equation. The procedure is based upon a model where the macromolecule is represented at an atomic level of detail, while the solvent is treated in a continuum approximation. The finite element method has two major advantages over previous methods based upon the finite difference approach. First, charges are located on atomic centers rather than being distributed onto grid points. Second, an isoparameter model allows the use of noncubic grids, providing a more accurate description of molecular shape. The principal disadvantage of the finite element method has been its computational complexity, which arises from the use of large matrices. To overcome this difficulty, a new matrix representation has been formulated and an iterative solution procedure has been adopted. The combination of these two techniques drastically reduces the size of the system matrix and increases the overall computational efficiency of the algorithm, making the new treatment computationally competitive with the finite difference approach. Because of the mathematical rigor and physical sophistication of the finite element algorithm, the new treatment is able to give an accurate description of the electrostatic potential distribution in a macromolecular system. Results on test cases with simple geometries show that the new treatment is able to reach the same level of accuracy achieved by the finite difference method while using a lower grid density. Near changes and surfaces, our method is more accurate than the finite difference method. The overall maximum deviation between computed and analytic potentials is less than 3% except in regions surrounding charges. The applicaions of both the finite element and finite difference methods to the same biomolecular systems produce similar potential distributions that would become identical in the limit of infinitely fine grids. © 1993 John Wiley & Sons, Inc.
    Additional Material: 8 Ill.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Computational Chemistry 14 (1993), S. 455-470 
    ISSN: 0192-8651
    Keywords: Computational Chemistry and Molecular Modeling ; Biochemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Computer Science
    Notes: Molecular mechanics is a fast developing discipline with new methods and potential fields appearing every year. A versatile molecular mechanics program supports many methods and potential fields that make it unavoidably large. There are problems writing and maintaining large programs with traditional methods because of data and other dependencies. Modular programming provides a solution. A program is developed as a collection of highly independent modules containing only related data structures and procedures. These entities are isolated in the module and access to them is provided through a well-defined and controlled interface. The high degree of independence circumscribes programming errors. Most of all, it reduces the cost of revising the program as only a small part of the program needs to be read and understood for each revision. We implemented a molecular mechanics program, yammp, using the modular programming method. © 1993 John Wiley & Sons, Inc.
    Additional Material: 7 Ill.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    New York, NY [u.a.] : Wiley-Blackwell
    Journal of Computational Chemistry 15 (1994), S. 190-199 
    ISSN: 0192-8651
    Keywords: Computational Chemistry and Molecular Modeling ; Biochemistry
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Computer Science
    Notes: This article introduces a novel potential function that allows the use of topographical information in molecular modeling. Quantitative shape data are provided by techniques such as electron-microscopy-based three-dimensional image reconstruction for large macromolecular assemblies. Such data can provide important constraints for molecular mechanics. We represent topographical data by spherical harmonic surfaces, first used by Max and Getzoff21 for displaying molecular surfaces. A simple harmonic potential is used to constrain atoms within these spherical harmonic surfaces. This potential was implemented in the yammp molecular mechanics package.27 Implementation details and results of several test cases are discussed here. © 1994 by John Wiley & Sons, Inc.
    Additional Material: 4 Ill.
    Type of Medium: Electronic Resource
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