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Conformational Ensembles from Experimental Data
and Computer Simulations
Poster Abstracts
113
78-POS
Board 38
Using the cgDNA Coarse-grain Model to Generate Sequence-dependent DNA
Configuration Ensembles
Daiva Petkeviciute
1,2
.
1
Ecole Polytechniqye Fédérale de Lausanne, Lausanne, Switzerland,
2
Kaunas University of
Technology, Kaunas, Lithuania.
The cgDNA coarse-grain model and its associated cgDNAmc Monte Carlo code [1, 2, 3] can
generate large equilibrium ensembles of configurations of naked B-DNA fragments in solution.
The appropriate length of such a fragment can vary from 10 to 10^4 base pairs, with any DNA
sequence being specified. For sequence length of 300 base pairs 1 million configurations can be
generated in approximately three minutes on a single processor [3]. The resulting ensembles are
strongly dependent on the sequence, e.g. as manifested in both the average shape and flexibility.
The model parameter sets are trained on libraries of Molecular Dynamics simulations, that are
many orders of magnitude more computationally demanding then the cgDNAmc code. At the
length scale of tens of bases model predictions can be compared with X-ray crystal structure and
NMR data, and the fits are shown to be in rather good agreement [2]. Another target application
of the model is estimating looping and cyclisation j factors [4]. Here we use the cgDNAmc to
study various notions of DNA persistence length [3].
[1] A sequence-dependent rigid-base model of DNA. O. Gonzalez, D. Petkevičiūtė, J. H.
Maddocks, J. Chem. Phys. 138 (5), 2013.
[2] cgDNA: a software package for the prediction of sequence-dependent coarse-grain free
energies of B-form DNA. D. Petkevičiūtė, M. Pasi, O. Gonzalez and J. H. Maddocks, Nucleic
Acids Res. 42 (20), 2014.
[3] Sequence-dependent persistence lengths of DNA. J. S. Mitchell, J. Glowacki, A. E.
Grandchamp, R. S. Manning and J. H. Maddocks, J. Chem. Theory Comput., 2016. DOI:
10.1021/acs.jctc.6b00904.
[4] DNA flexibility studied by covalent closure of short fragments into circles. D. Shore, J.
Langowski, R. L. Baldwin, Proc. Natl. Acad. Sci. USA 1981, 78, 4833–4837.