STATIC AND STATISTICAL BENDING OF DNA EVALUATED BY MONTE-CARLO SIMULATIONS

被引:143
|
作者
ZHURKIN, VB [1 ]
ULYANOV, NB [1 ]
GORIN, AA [1 ]
JERNIGAN, RL [1 ]
机构
[1] ENGELHARDT MOLEC BIOL INST,MOSCOW 117984,USSR
关键词
DNA CURVATURE; ANISOTROPY OF DNA BENDING; FLUCTUATIONS IN B-DNA; CONFORMATIONAL ENERGY CALCULATIONS;
D O I
10.1073/pnas.88.16.7046
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To investigate the influence of thermal fluctuations on DNA curvature the Metropolis procedure at 300 K was applied to B-DNA decamers containing A5.T5 and A4.T4 blocks. Monte Carlo simulations have confirmed the DNA bending anisotropy: B-DNA bends most easily in a groove direction (roll). The A5.T5 block is more rigid than the other sequences; the pyrimidine-purine dimers are found to be the most flexible. For A5TCTCT, A5CTCTC, and A5GAGAG, the average bend angle per decamer is 20-25-degrees in a direction toward the minor groove in the center of the A5.T5 tract, which is consistent with both the "junction" and "wedge AA" models. However, in A5T5, A4T4CG, and T4A4GC, bending is directed into the grooves at the 5' and 3' ends of purine tracts. Thus, directionality of bending caused by A(n).T(n) blocks strongly depends on their neighboring sequences. These calculations demonstrate that the sequence-dependent variation of the minor-groove width mimics the observed hydroxyl radical cleavage pattern. To estimate the effect of fluctuations on the overall shape of curved DNA fragments, longer pieces of DNA (up to 200 base pairs) were generated. For sequences with strong curvature (A5X5 and A4T4CG), the static model and Monte Carlo ensemble give similar results but, for moderately and slightly curved sequences (A5T5 or T4A4GC), the static model predicts a much smaller degree of bending than does the statistical representation. Considering fluctuations is important for quantitative interpretation of the gel electrophoresis measurements of DNA curvature, where both the static and statistical bends are operative.
引用
收藏
页码:7046 / 7050
页数:5
相关论文
共 50 条
  • [1] REFINED MONTE-CARLO SIMULATIONS OF STATIC PERCOLATION
    HOSHEN, J
    KOPELMAN, R
    NEWHOUSE, JS
    [J]. JOURNAL OF PHYSICAL CHEMISTRY, 1987, 91 (01): : 219 - 222
  • [2] Statistical measurements and Monte-Carlo simulations of DCR in SPADs
    Sicre, Mathieu
    Agnew, Megan
    Buj, Christel
    Coutier, Caroline
    Golanski, Dominique
    Helleboid, Remi
    Mamdy, Bastien
    Nicholson, Isobel
    Pellegrini, Sara
    Rideau, Denis
    Roy, David
    Calmon, Francis
    [J]. ESSCIRC 2022- IEEE 48TH EUROPEAN SOLID STATE CIRCUITS CONFERENCE (ESSCIRC), 2022, : 193 - 196
  • [3] Monte-Carlo simulations
    Giersz, M
    [J]. DYNAMICAL EVOLUTION OF STAR CLUSTERS - CONFRONTATION OF THEORY AND OBSERVATIONS, 1996, (174): : 101 - 110
  • [4] MONTE-CARLO SIMULATIONS OF DNA-SALT SOLUTIONS
    PAULSEN, M
    RECORD, MT
    [J]. BIOPHYSICAL JOURNAL, 1987, 51 (02) : A501 - A501
  • [5] A PARALLEL MULTIPROCESSOR SYSTEM FOR MONTE-CARLO SIMULATIONS IN STATISTICAL PHYSICS
    SAARINEN, J
    KASKI, K
    VIITANEN, J
    [J]. REVIEW OF SCIENTIFIC INSTRUMENTS, 1989, 60 (09): : 2981 - 2991
  • [6] AN INTRODUCTION TO MONTE-CARLO SIMULATIONS
    JOY, DC
    [J]. INSTITUTE OF PHYSICS CONFERENCE SERIES, 1988, (93): : 23 - 32
  • [7] On the optimization of Monte-Carlo simulations
    Kalda, J
    [J]. PHYSICA A, 1997, 246 (3-4): : 646 - 658
  • [8] AN INTRODUCTION TO MONTE-CARLO SIMULATIONS
    JOY, DC
    [J]. SCANNING MICROSCOPY, 1991, 5 (02) : 329 - 337
  • [9] MONTE-CARLO SIMULATIONS OF MICROEMULSIONS
    BOYDEN, S
    JAN, N
    RAY, T
    [J]. NUOVO CIMENTO DELLA SOCIETA ITALIANA DI FISICA D-CONDENSED MATTER ATOMIC MOLECULAR AND CHEMICAL PHYSICS FLUIDS PLASMAS BIOPHYSICS, 1994, 16 (09): : 1439 - 1445
  • [10] PARALLEL MONTE-CARLO SIMULATIONS
    ESSELINK, K
    LOYENS, LDJC
    SMIT, B
    [J]. PHYSICAL REVIEW E, 1995, 51 (02): : 1560 - 1568