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      Cooperative binding of DNA and CBFβ to the Runt domain of the CBFα studied via MD simulations

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          Abstract

          The Runt domain (RD) is the DNA-binding region of the Runx genes. A related protein, known as core binding factor β (CBFβ) also binds to the RD to enhance RD–DNA interaction by 6- to 10-fold. Here, we report results from molecular dynamics (MD) simulations of RD alone, as a dimer in complexes with DNA and CBFβ and in a ternary complex with DNA and CBFβ. Consistent with the experimental findings, in the presence of CBFβ the estimated free energy of binding of RD to the DNA is more favorable, which is shown to be due to more favorable intermolecular interactions and desolvation contributions. Also contributing to the enhanced binding are favorable intramolecular interactions between the ‘wing’ residues (RD residues 139–145) and the ‘wing1’ residues (RD residues 104–116). The simulation studies also indicate that the RD–CBFβ binding is more favorable in the presence of DNA due to a more favorable RD–CBFβ interaction energy. In addition, it is predicted that long-range interactions involving ionic residues contribute to binding cooperativity. Results from the MD calculations are used to interpret a variety of experimental mutagenesis data. A novel role for RD Glu116 to the RD–CBFβ interaction is predicted.

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          The interpretation of protein structures: estimation of static accessibility.

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            Langevin dynamics of peptides: the frictional dependence of isomerization rates of N-acetylalanyl-N'-methylamide.

            The rate constant for the transition between the equatorial and axial conformations of N-acetylalanyl-N'-methylamide has been determined from Langevin dynamics (LD) simulations with no explicit solvent. The isomerization rate is maximum at collision frequency gamma = 2 ps-1, shows diffusive character for gamma greater than or equal to 10 ps-1, but does not approach zero even at gamma = 0.01 ps-1. This behavior differs from that found for a one-dimensional bistable potential and indicates that both collisional energy transfer with solvent and vibrational energy transfer between internal modes are important in the dynamics of barrier crossing for this system. It is suggested that conformational searches of peptides be carried out using LD with a collision frequency that maximizes the isomerization rate (i.e., gamma approximately 2 ps-1). This method is expected to be more efficient than either molecular dynamics in vacuo (which corresponds to LD with gamma = 0) or molecular dynamics in solvent (where dynamics is largely diffusive).
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              Empirical force fields for biological macromolecules: overview and issues.

              Empirical force field-based studies of biological macromolecules are becoming a common tool for investigating their structure-activity relationships at an atomic level of detail. Such studies facilitate interpretation of experimental data and allow for information not readily accessible to experimental methods to be obtained. A large part of the success of empirical force field-based methods is the quality of the force fields combined with the algorithmic advances that allow for more accurate reproduction of experimental observables. Presented is an overview of the issues associated with the development and application of empirical force fields to biomolecular systems. This is followed by a summary of the force fields commonly applied to the different classes of biomolecules; proteins, nucleic acids, lipids, and carbohydrates. In addition, issues associated with computational studies on "heterogeneous" biomolecular systems and the transferability of force fields to a wide range of organic molecules of pharmacological interest are discussed. Copyright 2004 Wiley Periodicals, Inc.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Research
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                2005
                2005
                26 July 2005
                : 33
                : 13
                : 4212-4222
                Affiliations
                Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland Baltimore, MD 21201, USA
                Author notes
                *To whom correspondence should be addressed at 20 Penn Street, Baltimore, MD 21201, USA. Tel: +1 706 410 7442; Fax: +1 410 706 5017; Email: alex@ 123456outerbanks.umaryland.edu
                Article
                10.1093/nar/gki724
                1180745
                16049027
                1be8c0e0-5ce4-4fca-80e4-8d722c2dd5d8
                © The Author 2005. Published by Oxford University Press. All rights reserved

                The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions@ 123456oupjournals.org

                History
                : 27 May 2005
                : 05 July 2005
                : 05 July 2005
                Categories
                Article

                Genetics
                Genetics

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