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      A systematic molecular dynamics study of nearest-neighbor effects on base pair and base pair step conformations and fluctuations in B-DNA

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          Abstract

          It is well recognized that base sequence exerts a significant influence on the properties of DNA and plays a significant role in protein–DNA interactions vital for cellular processes. Understanding and predicting base sequence effects requires an extensive structural and dynamic dataset which is currently unavailable from experiment. A consortium of laboratories was consequently formed to obtain this information using molecular simulations. This article describes results providing information not only on all 10 unique base pair steps, but also on all possible nearest-neighbor effects on these steps. These results are derived from simulations of 50–100 ns on 39 different DNA oligomers in explicit solvent and using a physiological salt concentration. We demonstrate that the simulations are converged in terms of helical and backbone parameters. The results show that nearest-neighbor effects on base pair steps are very significant, implying that dinucleotide models are insufficient for predicting sequence-dependent behavior. Flanking base sequences can notably lead to base pair step parameters in dynamic equilibrium between two conformational sub-states. Although this study only provides limited data on next-nearest-neighbor effects, we suggest that such effects should be analyzed before attempting to predict the sequence-dependent behavior of DNA.

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          Most cited references58

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          A genomic code for nucleosome positioning.

          Eukaryotic genomes are packaged into nucleosome particles that occlude the DNA from interacting with most DNA binding proteins. Nucleosomes have higher affinity for particular DNA sequences, reflecting the ability of the sequence to bend sharply, as required by the nucleosome structure. However, it is not known whether these sequence preferences have a significant influence on nucleosome position in vivo, and thus regulate the access of other proteins to DNA. Here we isolated nucleosome-bound sequences at high resolution from yeast and used these sequences in a new computational approach to construct and validate experimentally a nucleosome-DNA interaction model, and to predict the genome-wide organization of nucleosomes. Our results demonstrate that genomes encode an intrinsic nucleosome organization and that this intrinsic organization can explain approximately 50% of the in vivo nucleosome positions. This nucleosome positioning code may facilitate specific chromosome functions including transcription factor binding, transcription initiation, and even remodelling of the nucleosomes themselves.
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            A modified version of the Cornell et al. force field with improved sugar pucker phases and helical repeat.

            We have examined some subtle parameter modifications to the Cornell et al. force field, which has proven quite successful in reproducing nucleic acid properties, but whose C2'-endo sugar pucker phase and helical repeat for B DNA appear to be somewhat underestimated. Encouragingly, the addition of a single V2 term involving the atoms C(sp3)-O-(sp3)-C(sp3)-N(sp2), which can be nicely rationalized because of the anomeric effect (lone pairs on oxygen are preferentially oriented relative to the electron withdrawing N), brings the sugar pucker phase of C2'-endo sugars to near perfect agreement with ab initio calculations (W near 162 degrees). Secondly, the use of high level ab initio calculations on entire nucleosides (in contrast to smaller model systems necessitated in 1994-95 by computer limitations) lets one improve the chi torsional potential for nucleic acids. Finally, the O(sp3)-C(sp3)- C(sp3)-O(sp3) V2 torsional potential has been empirically adjusted to reproduce the ab initio calculated relative energy of C2'-endo and C3'-endo nucleosides. These modifications are tested in molecular dynamics simulations of mononucleosides (to assess sugar pucker percentages) and double helices of DNA and RNA (to assess helical and sequence specific structural properties). In both areas, the modified force field leads to improved agreement with experimental data.
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              A standard reference frame for the description of nucleic acid base-pair geometry.

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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                January 2010
                January 2010
                6 November 2009
                6 November 2009
                : 38
                : 1
                : 299-313
                Affiliations
                1Institut de Biologie et Chimie des Protéines, CNRS UMR 5086/Université de Lyon, 7 passage du Vercors, 69367 Lyon, France, 2Department of Chemistry, Wesleyan University, Middletown, CT 06459, 3Center for Computational Science, Tulane University, Lindy Boggs Building Suite 500, New Orleans, LA 70118, 4BioMaPS Institute and Dept. of Chemistry & Chemical Biology, Rutgers University, 610 Taylor Road, Piscataway, NJ 08854-8087, 5Department of Pharmaceutics, University of Utah, SH 201, Salt Lake City, UT 84112, USA, 6Zymeworks Inc., 540-1385 W 8th Ave, Vancouver, BC V6H 3V9, Canada, 7Department of Chemistry, Indian Institute of Technology, Hauz Khas, New Delhi 110016, India, 8Center for Complex Molecular Systems and Biomolecules, Institute of Organic Chemistry and Biochemistry, Flemingovo nam. 2, 166 10 Praha 6, Czech Republic, 9Centre for Biomolecular Sciences, School of Pharmacy, University of Nottingham, NG7 2RD, UK, 10Institut de Mathématiques, Swiss Federal Institute of Technology, CH-1015 Lausanne, Switzerland, 11Department of Structural and Chemical Biology, Mount Sinai School of Medicine, New York, NY 10029, USA, 12Joint IRB-BSC Program on Computational Biology, Institute of Research in Biomedicine, Parc Científic de Barcelona, Josep Samitier 1-5, Barcelona 08028. Spain and Barcelona Supercomputing Centre, Jordi Girona 31, Edifici Torre Girona. Barcelona 08034, and Departament de Bioquímica, Facultat de Biología, Avgda Diagonal 647, Barcelona 08028, Spain and 13Institute of Biophysics, Academy of Sciences of the Czech Republic, Kralovopolska 135, 612 65 Brno, Czech Republic
                Author notes
                *To whom correspondence should be addressed. Tel: +33 4 72 72 26 37; Fax: +33 4 72 72 26 04; Email: richard.lavery@ 123456ibcp.fr

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors.

                Article
                gkp834
                10.1093/nar/gkp834
                2800215
                19850719
                73313e12-dc0f-43a0-8757-dec9c969f706
                © The Author(s) 2009. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 17 August 2009
                : 15 September 2009
                : 18 September 2009
                Categories
                Structural Biology

                Genetics
                Genetics

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